I think there may be other factors killing SaaS, particularly data sovreignty.
"According to IDC’s Future Enterprise Resiliency and Spending Survey from June 2025, 45% of all organizations and 56% of “digital natives” cited data sovereignty and potential cloud changes as their greatest concern for 2026."
It's a tale as old as time that developers, particularly junior developers, are convinced they could "slap together something in one weekend" that would replace expensive SAAS software and "just do the parts of it we actually use". Unfortunately, the same arguments against those devs regular-coding a bespoke replacement apply to them vibe-coding a bespoke replacement: management simply doesn't want to be responsible for it. I didn't understand it before I was in management either, but now that I'm in management I 100% get it.
OTOH, I was hired by an enterprise that was many months into a giant backend rewrite. After wrapping my head around the many plans, I realized they were rewriting Django, badly. One weekend I prototyped the whole thing… in Django. It worked. It met the specs. It was a CRUD app with a REST API.
I came in to work Monday morning, showed it off, and inadvertently triggered a firestorm. Later my boss told me not to do that again because it caused havoc with schedules and such.
So I quit and found a better job. Sometimes the new guy can make a better version themselves over the weekend, not because they’re a supergenius, but because they’re not hampered by 47 teams all trying to get their stamp on the project.
(In before “prime example of overconfidence!”: feel free to doubt. It was a CRUD app with a handful of models on a PostgreSQL backend. They were writing a new Python web framework to serve it, complete with their own ORM and forms library and validation library. Not because the existing ones wouldn’t work, mind you, but more out of not realizing that all these problems were already sufficiently solved for their requirements.)
Take this idea and bring your own validation library and forms and UI components to the next job, and you've described what I do. And then you have real lock-in.
We are certainly closer now to being able to prototype and go to market faster with a product. In one weekend is a little much but I think its hard to deny that building will continue to expedite. What most developers don't think about is that the marketing, sales, customer service are all non-trivial parts of the business/product and all require legwork that is more than just sitting at an IDE. The nail in the coffin is that the data is a large part of company moats, and new products need time in the market to get that. Migration is also a long process and risky...so to get customers, a newcomer needs to provide way more value than what the incumbent gives.
I imagine you're going to have people trying to automate the whole GTM lifecycle, but eventually the developer that thinks they can bootstrap a one man enterprise without actually doing any kind of social interaction will run into a wall.
Exactly. Once the market tastes like lemonade, everyone will be afraid of trying new apps in the way that they are afraid to accept phone calls from unknown numbers now.
You will trade initial development budget for advertising budget, trying to position your product in proximity with people who are known quantities.
I think that just because anyone can do it, doesn't mean they will. Lots of people have really great ideas but very few actually commit to execution. Ultimately ROI will go down, deincentivizing the commercialization of that thing someone wanted to bang out in a weekend.
In the very long term, software will become a commodity, as you mentioned. Process and workflow may move into JIT delivery for the need at hand, in theory the data layer will be comprehensive and clean and the days of clicking around a bunch of stuff to fulfill process needs will move into a lower latency activity like...talking to your agent.
I saw a quote today by Brian Eno(1995) that said: "So the question becomes not whether you can do it or not, because any drudge can do it if they're prepared to sit in front of the computer for a few days; the question then is: of all the things you can now do, which do you choose to do?" and it resonated with me a lot.
> Lots of people have really great ideas but very few actually commit to execution.
This is true when you had to work hard for those ideas. Now you have LLMs. It means more people can sling a lot more crap at walls with fewer barriers to entry.
okay, what was the actual obstacle? it's really simple: in order to use something FREE, you had to touch GITHUB, which meant GIT. and people hate git.
today, with LLMs:
- "can i do this for free?"
- LLM dutifully does the needful, using projects it finds and code it learned from github, and doing the prosaic tasks of launching them for you, whatever that means.
people are getting way up into their heads about what matters, psychosocial and management and whatever bs. chatgpt is FREE. it will fix your problems for FREE. people will put up with ANYTHING for FREE.
the real innovation is laundering all that inaccessible, pre-existing solution space into a format that doesn't require transiting git and giving it away for free.
don't believe me? all of the most profitable SaaS businesses in technology are the packaging, deployment and customization of pre-existing open source free software, whether it is linux, kvm, postgres, etc. they are factories to turn stuff that is inaccessible because it is in GIT, which SUCKS - that is the hard part for people to wrap their minds around, that GIT sucks - into websites you can pay for. now LLMs do that.
If you can gin these things up in a weekend then why would you bother with a monthly subscription model for software? The only valuable part is the specification and possibly the hardware to run it. If I were a CTO trying to save money I might pay for the labor to develop good specs, but I would prioritize getting out from under software companies with a rent seeking models and 80 to 90% margins
On prudent choices: one thing I'm surprised about is that LLMs are showing me libraries and tools that I'd not found via search.
A boring one from today was about select, datalist or some custome element (which LLM can prototype) or some JS libs. Good breakdown; links to playgrounds, rough mocks so team could kick tires. It raises points the team had and had counterpoint to help drive decisions.
in the 90-ies anyone could easily prototype with tools like Access (and all the other "4GL" tools which were similarly all the rage back then). That still didn't preclude companies from buying their major software from software vendors instead of doing it themselves.
In some sense having customer able to prototype what they want is a good thing. I did it myself as i was at the time on that side, and having a quick-whip-it tool was a good thing to quickly get some feature that was missing in the major software before that major software would add it (if at all).
(And if one remembers for example Crystal Reports - while for "reports", it and the likes were in many senses such quick-whip-it tools for a lot of such customization that was doable by the customer.)
So, after initial aftershock - "Ahhhh, we don't need software companies anymore!" - we'll get to the state with software companies still doing their thing just with a lot of AI as specialization is one of the main thing in modern economy and AI becomes most powerful tools of the trade. (and various AI components themselves will be part of software delivery, like say a very fine-tuned model (hosted or on-premise) specific to the customer and software - Clippy on steroids)
(Of course some companies wouldn't survive the transition just like some companies didn't survive the transitions to client/server, cloud, etc. while some new companies will emerge like Anthropic has today or Borland had at the time)
Access is not as dead as you might hope. The long tail of internal tools written with Access continues to shamble along. I had to figure out how to dump MDB files on Windows last year for just this reason. As an industry I think we often fail to grasp how much outsider art there is, in the form of internal departmental tools.
LLM coding is going to create a cambrian explosion of these tools. It’s going to be very interesting to see the remnants of this wave 30 years down the line.
One of the key questions here - will LLM coding decrease the proliferation of app-specific Excel files (by for example accelerating and simplifying Excel-to-webapp conversion) or would result in an opposite outcome by making feasible managing even orders of magnitude more of those disparate Excel files :)
It means the same: random lottery of mass, with everuone else failing.
American capitalism hides the depressing fact that rarely does the best succees.
AAI momentum is parallel to just buying lottery tickets and doing so with the belief that you know the real odds, so one can overwhelm with quantity of tickets.
You build a Twitter. Profiles have posts, posts can have images, etc. It's very easy to model the database.
But then how do you make money with it? Now you need to build a separate system for advertising? Or do you want to sell subscriptions? Which means you need to build a separate system to handle payments. This is usually the big one, because when you handle money, what happens if there is a bug and you charge someone without delivering anything? How do you prevent fraud? How do you handle disputes?
Someone posted something illegal. What do you do in this situation? Do you call the police? The FBI? What kind of data do you give the authorities? How much data SHOULD you have been logging in the first place in case something like this happens?
One user doesn't like you so he bought a botnet to DDoS your website. How do you handle this? Are they mass posting? Mass creating accounts? Is it possible for them to exhaust all the usernames possible and then nobody can create an account anymore?
Your website is online but if the server blows up you'll lose all the data in the database. You need backups. You need a system to ensure the backups are actually working. But then some guy from the UK said he wants his posts all deleted. What are you going to do now, because his posts are also in the backups, and you don't want to touch those.
Trolls are posting things against the ToS. Who handles these things? Shadowban? So there needs to be a shadowban system? Moderators? So there needs to be a moderator-only section of the website? Should this be integrated with the main website or not?
Then you look at this horrendous mess of 6 paragraphs and you think back about the first paragraph that already did everything you wanted from Twitter. All these other systems, most of the work, and all you actually wanted was the first paragraph.
My career occupies a weird middle ground where, for 20 years or so, I've catered to smaller businesses that need bespoke solutions (because the SaaS available doesn't conform well to their business logic), but don't have the scale or desire to build and maintain software in-house. Sometimes these are slapped together in a weekend, if that's all that's needed. But in most cases they still become ongoing improvement and maintenance projects for me.
This niche position has had some interesting ramifications for them and for me. They clearly incur a lot of technical debt once their business relies on bespoke software. On the other hand, they own the software and can get an immediate response or new feature or upgrade from me, limited only by my time. And in the end, this ends up saving them time and money. It gives me a permanent and unending flow of work. But if I die, they're pretty screwed.
One reason I don't vibe code things even now, even simple components that could easily be vibe coded, is that I remember and know where everything is, every function or line of code that might be causing issues, because I wrote it myself. I know right away where to look for a query that might be throwing errors after a database upgrade, for instance.
As a manager I assume you would probably not want to go down the road of hiring someone like that, but for companies of a certain size it's an acceptable compromise. However, I wouldn't want to hire someone like that myself unless they were extremely reliable and didn't rely on AI to write any of their code.
People sometimes fail to appreciate the value of KNOWING the system inside and out when it comes to diagnosis and troubleshooting.
Observability is great, dont get me wrong, but past 3 to 6 months of work on the same thing...I can almost beet the observability tools in timetoresolve.
This sounds great if you get on well with your clients. You must be an effective networker and at sales. How do you bill, and how do you price your services?
It's shocking to me how prevalent this "who needs Salesforce when everyone can just vibe code their own CRM from scratch in a day" narrative has become in the business press. Like, what???
I've had a pleasure of using GIMP recently on Mac. One of the worst UX/UI experiences I've had in quite a while. If that's where vibe coding leads to, then Photoshop is very safe from disruption.
No, the equivalent question that people are seriously asking is "Who needs Photoshop [or graphic designers] when everyone can just vibe paint their graphics with AI?"
I don't think vibe-coding will replace anything. However, what if AI tools can make skilled developers more productive, particularly at simple tasks in unfamiliar environments? You could see that reducing the engineering costs of simple utility applications. There are tons of pitfalls that many here have pointed to but also maybe opportunities to do things that wouldn't have been cost effective.
Also: In my life the easier it has gotten to create and run software, the more software people have wanted and the more they have been willing to spend on it.
> I don't think vibe-coding will replace anything. However, what if AI tools can make skilled developers more productive, particularly at simple tasks in unfamiliar environments?
That's not good enough.
Now that the world has successfully laughed off the "our models are so good they're superintelligent" AGI claims, AI companies and investors have moved on to the "our models are so good they're going to do all your workers' jobs" angle.
The insane investment is for AGI/total job replacement, not developer productivity tools. We are going to be sold pie-in-the-sky claims for a long time until the world wisens up to this rhetoric the same way we did with AGI nonsense.
I don't think it will replace SaaS but I do think it can replace the need for a lot of the consultant work that goes around configuring and integrating the SaaS. It will be much easier to have a spec that defines how things need to be configured and the machines can implement it (using the SaaS as tools). Frankly this is the most annoying part. It's not that the B2B stuff can't do whatever, it's that it never gets implemented in ways that aren't a pain in the ass because it's all handled by people who aren't actually using them.
I really don't think it's not going to become "these prompts are specs" and then you have processes of reviewing implementations. It's one thing when you have randos building stuff and they leave etc. Having stored prompts and managed code that uses tools is a different beast.
People really seem to believe that code is the only thing you need to make a SaaS company. It's like thinking a line cook is all you need to open a restaurant. There are so, so many other components to running a business.
No serious programmer "vibe" codes. I admit creating SaaS may not be feasible with current infrastructure but you can't ignore the insane jump in productivity that these tools can offer with the right scaffolding.
& the counter-argument is those SAAS apps being killed by A.I are growing revenue 20%+ YOY
people who write this BS - one never don't understand SAAS fundamentals, they only see what's on the screen and forget the complexity that lives on the backend - forget the costs of running such a SAAS
before it was low-code will kill SAAS, then Visual UI builders, now its A.I
just like it was before that crypto will kill Trad-Fi
people who say these things - have tied their identity into it so they whole-heartedly believe the bullshit they say even though reality doesn't match
to anyone curious read the 10k (Annual Report) of any public SAAS - Salesforce | Workday etc - people should admire these companies for the machines / ecosystem they built - and also learn the good & mistakes to avoid i.e the bad
those annual reports tell you how the revenue generation machine works, how much revenue is expected 2+ / 3+ years from now - their weaknesses | headwinds and also tailwinds - how those companies grow and continue to grow etc
What I struggle with is developers wanting to leave platforms like Datadog for open source equivalents that need to be self-hosted.
I hear all of the cost savings benefit, but I never see the team factoring in their own time (and others time) needed to set up and maintain these systems reliably long term.
Something IC’s at company often struggle to understand is the reason why companies often prefer to buy managed solutions even when “free” alternatives exist (read: the free alternatives are also expensive, just a different type of cost)
My log bill for Google cloud log would be like 30k. For splunk I like 80k. I self host for 1.5k per month. Spend maybe an hour a month? Easiest money I ever made.
When you’re in the middle of a production down event and your whole team is diagnosing the issue, and your log server is unresponsive, who do you contact for support?
No one, you pull an engineer off the production issue to debug the log server, because you need the log server to debug the production servers.
See the problem?
Edit: to be clear I’m no fan of Datadog and I wish self hosting were an option. I want this path for our company, but at least on our team we just don’t have enough (redundant) expertise to deploy and manage these systems. We’d have to hire an extra FTE.
If you’re having a correlated outage like that, then it’s likely you fix the prod issue before the cloud engineers at some giant cloud company even respond to an internal escalation much less fixes an issue. More than likely your prod issue is causing the logging problem.
If you mean you are experiencing two totally unrelated issues at the same time, then I don’t think that’s a reasonable thing to really assign much value to as it’s incredibly unlikely.
Half of $30k/mo trivially pays for an engineer you hire to only manage such a cluster for you and just works an hour a week unless a pager goes off if you truly need that level of peace of mind. If you’re hiring for such a position I have a few rock star level folks who would love such a job.
The hypothetical problems people imagine for on-prem infrastructure get really strange to me. I could come up with the same sort of scenarios for cloud based SaaS infrastructure just as easily.
> I don’t think that’s a reasonable thing to really assign much value to as it’s incredibly unlikely.
In my experience the systems/tools needed to debug production issues are often only used when they’re needed.
Which now means you need health and uptime monitoring on your log server since without that, it might break randomly and no one notices until you need it.
> The hypothetical problems people imagine for on-prem infrastructure get really strange to me
It really comes down to the people and whether you have the expertise on the team. And whether the team can realistically manage the system long term. It’s typically safer to spend more money for the managed service.
100% agree. If I am using a cloud log provider I wouldn't expect them to solve my logging issue(s) as fast as I need, more importantly I have no real way to put more resources on that fix.
More importantly, with a third party service I'd be very surprised if both went down at the same time and it wasn't a further upstream issue like AWS. If its my own logging service and it went down during a prod outage, I likely didn't properly isolate my logging service in the first place.
The old argument for being locked in to legacy software costing 6-8 figures a year was that you had no choice. Now you have a choice! Clearly that is better, and everyone should evaluate that choice on its merits, and the stock market sees that people are voting with their dollars. If your whole sales pitch is "good luck when it breaks!" you might want to reevaluate your business model.
The stock market is trying to predict that people will vote with their dollars in the future. I’m not quite sure people are really replacing enterprise Saas at large corporations yet. It’s more of a projection.
Fair, however at some point of a companies size/spending the complexity of integrating with a SaaS becomes as large as the one to run your own open source tool.
Beyond that, and Im aware this is very much application/company dependent, theres plenty of SaaS companies that offer horrendous or no support no matter what you pay. We used to use splunk for monitoring and logging. Paid a ton of money because we were handling financial data and needed tracibility and reliability. We constantly had to put out fires that were caused by their unreliable platform. It was not a good experience.
Ultimately, we jumped ship to Prometheus. We pay a fraction of the price and spent less time on it.
The problem is all these SaaS companies have cut costs so much that all their support has been reduced to useless offshore at best and at worst a chatbot. They do go down and don't work and often times there's simply nothing you can do. The worst offenders will seize upon the moment and force you to upgrade a support plan before they will even talk to you, even if the issue is their own making.
Unless you're a huge customer and already paying them tons of money, expect to receive no support. Your only line of defense if something happens and you're not a whale is that some whale is upset and they actually have their people working on the problem. If you're a small company, startup, or even mid-size, good luck on getting them to care. You'll probably be sent a survey when you don't renew and may eventually be a quotient in their risk calculus at some point in the distant future, but only if you represent a meaningful mass of customers they lost.
Do they actually not understand that? They might just be fine with a system that makes them more useful.
How do you calculate the time spent on an internal tool like this, actually? (I’ve never been in management). Realistically your team inevitably will have some downtime, maybe some internal tool maintenance can be fit in there? I mean it obviously isn’t fully “free” but is also shouldn’t be “billed” at their full salary, right?
> Realistically your team inevitably will have some downtime
What? My team wouldn't have any downtime even if we had 10x the amount of people.
If you work at a company where you have times where you don't have work to do, you should polish your resume because it means the company will go under.
Doing work is easy, not doing work is hard. It's trivial for any engineer to find stuff to do. The trick is doing the right stuff. Most software is bad and clunky, most requirements are wrong, and most of your customers, at best, tolerate your product.
I think most software companies need to be doing less. Deleting code, refining, and making their product genuinely useful as opposed to "able to technically contort to client needs".
I'm sorry but the amount of companies that need something like DataDog is quite small compared to their 30,000+ customer count. Maybe 5,000 companies on Earth truly need something like DataDog, 80% of their customers would be perfectly fine with a self hosted instance of grafana.
Using an open source self hosted solution should be the industry standard, encouraged position, by default. Our industry does not gain overall from using DataDog but only from truly open source solutions that utilized AGPL licenses that allows everyone to move forward together + share lessons together + contribute together toward a common goal of better observability.
Why are we acting like it's hard to set up? This isn't the 1990s, it's 2026. Tooling has gotten quite good over the last decade.
Also corporations stupidly spend money all the time, they over spend too. I recently left a company that was paying SalesForce $10mil a year in licenses when only 8 people in the entire 3,000 person company was using it. I doubt that was the only single instance across our industry too. There is a massive amount of waste and graft in enterprise sales.
I honestly doubt it if you replaced grafana for 10,000 DataDog customers they would notice the difference.
Because the current generation of “full stack” engineers are great at spinning up react apps, but struggle with infrastructure and systems management. It’s really not any more complicated than that.
On a typical 8 person engineering team, maybe 1 or 2 people will know how to deploy anything to the cloud if you’re lucky.
The problem is right now management is not only insisting on their team vibe-coding bespoke replacements, they’re avoiding paying for other SaaS because they can vibe-code their own replacements, often themselves, and they’ve lost sight of that they probably don’t want to be responsible for it.
It seems that current advantages would compound with AI. I.e., if I am making a SaaS for Popsicle stick makers today, why I am disadvantaged with AI vs a new competitor in the space? I guess the hypothesis is the Popsicle stick maker will vibe code all of the software that they need instead. For that, we need significantly better AI than we have today - perhaps something like a 1000X improvement. Basically, this is a world in which non-technical grandparents can vibe code anything that they want. This means, it understands what you want without you being able to articulate it well in the first place.
I don't do tea leaves so I wouldn't commit to that, particularly because I think SAAS was oversold in general even before LLMs came out. But I think the idea that the industry as a whole will shrivel away just isn't feasible, even if there is a correction.
The B2B startup motto of "where someone is using Excel to do something other than accounting, there's a startup waiting to happen" has been shockingly resilient over the decades, and I suspect will continue to be.
We need a new one: "Where someone is using a vibe-coded internal tool made by the creative department that keeps needing bug fixes, there's a start up waiting to happen."
I dont even blame management. I believe most of them are well-aware that much of what is going on right now is pure hype.
However, they dont have a choice. The sentiment of shareholders is that they want their cash (yes it is their cash that managers re-invest on their behalf) to be invested in AI-related projects.
So...... you get what you get, and investors will get what they deserve. But they will still blame the management in the end ;)
All of the hype surrounding AI will subside when a SaaS company eventually deploys a moltbot version of their software and the company is driven out of existence due to the chaos that ensues.
They will magically realize this when their huge bonuses will be tied to something longer lasting than last quarter/year performance on some very narrow metric (which has nothing to do with sane stuff like adding long term value to some part of the company).
They are not stupid, far from it, most are (very) high functioning sociopaths. And out and up there its everybody for themselves first.
The difference between a vibe-coded prototype product, even a good one, and an enterprise SaaS platform is the difference between a Lightning bug and a Lightning Bolt.
I totally agree about the management reluctance to just own everything in house.
But I think it’s plausible that SaaS companies will be easier to start with AI coding, and with lower costs (thanks to AI) they will be able to get into the black with a smaller addressable market. So each one can have a different mix of fewer features, for different segments of customers, at lower prices.
The result would be a loss of pricing power by the incumbent do-everything big guys: no more baked-in 10% annual increases. Which is still a pretty big change in their economics. And therefore valuations.
The companies that already have a strong in-house team will greatly benefit from AI. Many of those who don't are in that situation because managers have PTSD from so many failed projects.
Half of all projects fail. That's a lot of emotional trauma.
This was all possible pre-AI. The reasons that some Saas companies win have nothing to do with how quickly or cheaply code can be written for the Saas.
You're not considering opportunity costs and buyers vs. users.
If your senior developers can slap together something better than an expensive SAAS offering you want them directing that energy at your core products/services rather than supporting tools.
And the people deciding to buy the expensive SAAS tools are often not the people using them, and typically don't care too much about how crappy the tool may or may not be for doing the job it's advertising as doing.
No matter what it's a tax on your engineering team to keep it together. But the most brittle parts are always right at the seams. It's not as hard to sew together components when you can cut the cloth down to fit together. Who knows how it'll shake out.
Clubbing all saas products together just means you can’t really have a productive discussion. Saas products are on a spectrum of quality, from amazing (stripe, datadog) to terrible (fivetran, github). Its upto you as a user to make a call as to which will serve you best, what you should focus your limited resources on etc.
> what if this time it's senior developers and they actually can slap something together better then the expensive SAAS offerings
A typical SaaS customer will use many pieces of software (we mostly call them SaaS now) across its various functions: HR, accounting, CRM, etc. Each one of those will have access to the same pool of senior devs and AI tools, but they will pour more resources into each area and theoretically deliver better software.
The bigger issue here is the economics of the C-suite have not changed here. Assume a 100 CPG company uses 10-20 SaaS apps. Salesforce might be $100k/year or whatever. 1Password is $10k. Asana $10k. etc. They add up, but on the other hand it is not productive to task a $150k employee with rebuilding a $10k tool. And even with AI, it would take a lot of effort to make something that will satisfy a team accustomed to any modern SaaS tool like Salesforce or Atlassian. (Engineers will not even move off Github, and it's literally built on free software.)
That's before I get to sensitive areas. Do you want to use a vibe-coded accounting system? Inventory system? Payroll? You can lose money, employees, and customer perception very rapidly due to some bugs. Who wants to be responsible for all their employee passwords are compromised because they wanted to save $800/mo?
Then, the gains from cutting SaaS are capped. You can only cut your SaaS spend to zero. On the other hand, if you have those engineers you can point them at niche problems in your business niche (which you know better than anyone) and create conditions for your business to grow faster. The returns from this are uncapped.
TL;DR; it's generally not a great idea to build in-house unless your requirements are essentially bespoke.
As my manager said to a young me when I offered to replace our CMS, and promised I could do a good job at it, "you could probably assemble our office furniture too, but I don't want to pay you to do that either"
We have replaced many SaaS with inhouse solutions, but most of these where lacking in quality and where part of our existing core business model which we where not "owning" prior. We can flip the argument where we have lost customers and revenue due to SaaS not delivering
The gains is generally more seen outside of monetary as these SaaS solutions where holding us back for achieving our goals and improving our services to our customers. As in the end of the day our customers do not care if "insert SaaS" is having issues, it will always be our problem to own.
To the first question, if your senior devs can do that there's almost certainly something more directly valuable to your business they could be doing than solving a problem your vendor has already solved
The second question is a valid one, and I think it will somewhat raise the bar of what successful SAAS vendors will have to offer in coming years
There are of course exceptions to every rule, and I'm sure some companies have been successful in building their own in-house tooling.
At the end of the day these decisions are all series of trade-offs, and the trick is understanding your requirements and capabilities well enough to make the right trade-offs.
Nice what ifs, but not valid so far. I get the motivation to think/hope so, but thats not the proper business world right now where big money are. Maybe next year it could start becoming true but then market will be a bit different too
This is because what management wants and what builders want are not aligned, not because the quality of JIRA is so amazing that no other alternative could ever be created. JIRA is fine but many people I know that use have some qualms with it because the bloat is pretty crazy.
As Spolsky said a quarter century ago, "bloat" is just "bugs somebody already fixed". (He may have actually said that about "cruft", but the idea still applies.)
If the management is the one actually paying for the software from their own pocket (founder), the tables turn. There are millions of SME owners who are forced to pay for B2B software just out of necessity and not having resources to build it in-house.
I've seen this happen with both juniors and seniors. They do come back with a working solution /for the happy path/. Because the happy path is easy. It turns out that most of the complexity sits in the unhappy paths.
I still don’t agree. The trick to good design is getting more things on the happy path. Most of the software I use is small and constructed in this manner.
There's that and then there are companies spending 100k on a software suite just to use that 2 features. So now one of their junior dev solves it and becomes a hero. The truth it always somewhere in the middle.
And don't forget the safety in getting to say "our systems are down because of [X TRUSTED SOFTWARE FROM LARGE KNOWN BRAND] and we're just waiting for them to fix it" instead of "our shitty internal tooling is broken and no one knows how to fix it"
This feels like it goes along the lines of "people's vibe code is cluttering up our PR's, people still need to review" -- it misses the boat: models are already capable of getting you up to speed on how the code is organized and works, in as much as you want to or need to be up to speed. They are already helping me cut down review time because I don't need to aimlessly hop around, I have a good starting point that I can scrutinize and dialogue about. Same thing here: employee leaves company -- about 3 years ago you would be right, now the company is left with an unmaintainable mess of legacy code and tech debt. TODAY this just doesn't matter. No one really needs to read that code too closely, it's already easy for agents to digest and explain and modify.
Doing this today, in production, with full trust, is clearly not wise, but the writing is clearly on the wall that this is going to be the norm more and more over the coming years. The times they are a-changin.
Can you be clear what you mean? What are you saying has not worked once?
And "it will be the norm" is a clear corollary of, absent any significant and unforeseen roadblock, even with the current highly imperfect agentic sausage-making factories we have today, what capabilities will be in like 6-12 months time.
When the effectiveness of vibe coding an internal workflow was measured, only 5% of efforts worked. That's pretty rare and bad. And those are the early adopters who tend to be more adaptable and effective with new technology. That's a big part of why people don't believe the (your) hype. Its great at simple things with a low cost of failure. Problem is, its rare to pay a good wage for simple things with a low cost of failure. Also, writing new code isn't a big part of most engineers jobs. To put it more simply, vibe coding optimizes the wrong things about engineering.
I think you can avoid the pain by thoughtfully designing it to avoid lock-in. You want it so that if needed, a dev can vibe-code a migration tool to the equivalent SaaS offering. AI lowers the barrier for creating these in-house replacements, but it also lowers the barrier for scrapping them too.
The thing about lower barriers is that it makes it easier for e.g. Salesforce to raise the level of expectations. And that's the moving target. New employees will come from elsewhere and wonder how a company is operating using tools from 2020 when X, Y, Z are becoming industry standard.
The key here is that the moving target will _never_ be "what can 1-2 people vibe code without any expectation of being the best at what it does?"
(Also: training people on bespoke tools takes much longer than training on configurations of standard tools. Imagine if you had to learn a new source control system at every job, like in the '80s.)
4. Employee continue in the company and request help (or the managers see the need):
4.1 They hire more, but if all are vibe-coders too
4.1.1 The product gets more complicated (no more complex, that good developers can manage!)
4.1.2 Bugs creep in, feature request pile up.
4.1.3 People start to get desperate, not worries! now:
4.1.3.1 Somebody vibe-code a new alternative that solves
the immediate problem
4.1.3.2 Bugs creep in, feature request pile up.
4.1.3.3 Needs to sync with the other tools
4.1.3.3.1 Somebody vibe-code the sync that solves the immediate problem
(the saga continue)
In parallel:
4.2 Eventually is obvious that need external help
THEN:
4.2.1 They ask for consultors for build tool, of course, from a company that has embraced the IA!
4.2.2 They build new shinny tool!
4.2.3 Bugs creep in, feature request pile up.
4.2.4 Needs to sync with the other tools
....
AND:
4.3.1 They ask for consultors, to teach them what to do, of course, from a company that has embraced the IA!
4.3.2 New shinny theory of how do the thing with IA is now being implemented!
4.3.3 It require a rewrite of not only past solutions but, a change of how the company behave!
4.3.3.1 Needs to sync with the other tools
.......
4.3.4 And it spark beautiful office/political debates around some philosophical whatever that also trigger changes in the structure, hiring or whatever, alienating the people that has been working there, that after months, has started getting the handle of it!
4.3.5 Employees either leaves the company or moves on to another project.
4.3.6 New employees arrive, with a wild new IA tool and different vibes that vibe-coding!
... the saga continues
5. Is now clear that it need to buy a product form a well stablished software provider
If I understand correctly many organizations will not develop original stuff internally, because nobody internally wants to be the one is shouted at if something goes wrong.
That's a huge part of it. But also you presumably hired a full-time programmer for a reason, and in almost every case that reason was not to have somebody to write and maintain your CRM system. So any system they build and maintain is not just another thing for you to worry about, it's a huge chunk of time that the developer isn't doing what you hired them for.
Think about it differently - let's say a free OSS product can be installed and you can use ALL features except for LDAP (because that's the paywalled portion that requires you to buy it for $25k / month.)
Well, with claude, you can download the code, tell it to implement LDAP authentication, and smile all the way to the bank. And for said fortune 500 company, employing an employee to spend 100% of their time maintaining the app at 10k per month is a 15k savings! And because it _doesn't really take 100% of their time_ it's really only like $500 per month? And to be completely honest, how man times did you get Jira to fast-track your issue?
I get it however, the manager angle. It's still a distraction. But the article being referenced still shows revenue going down.
There's definitely a lot of cope in here, mostly because SaaS is keeping them employed... be ready, the crush is "almosthere".
I like to bring up JIRA example. You could replace it in-house yeah it is just tickets with statuses. /s
But then keep in mind one who built the replacement will become the owner of an application that business doesn’t want to pay for and that person will be cost center for the company.
That person better get marketing and negotiating skills that Atlassian has on board because that person will be responsible for the app and will not be getting salary increases for working on something that is not core business of the company.
You guys keep using services like Jira, Salesforce, Stripe, Datadog, etc. While those are definitely the biggest names, I don't think people are referring to those SaaS platforms as the ones they will replace or try to build an inhouse version of. It will be things like ETL pipeline services, data scraping services, maybe some internal analytics SaaS. The niche things that cost a lot because they’re in a sweet spot where only a few people need them, but no one used to have the resources to build them in-house. So, when the salesperson called and offered a perfect solution to their problem, they bought the service. Those are the ones that will be more targeted for in-house solutions.
I'd actually say the opposite is the case. B2B (even SaaS) is probably the most robust when it comes to AI resistance. The described "in house vibe coded SaaS replacement" does not mirror my experience in B2B at all. The B2B software mindset I've encountered the most is "We'll pay you so we don't have to wrestle with this and can focus on what we do. We'll pay you even more if we worry even less." which is basically the opposite of...let's have someone inhouse vibe code and push to production. B2B is usually fairly conservative.
There was no chance that everyone would be running their own email server, but if it wasn't for the lack of IPv6 adaptation a plug and go home email server solution would probably see a decent amount of use. I'd bet we'd already be seeing it as a feature in most mid-ranged home routers by now.
The mail server in a router is easy to host, the problem is:
1) Uptime (though this could be partially alleviated by retries)
and most of all:
2) "Trust"/"Spam score"
It's the main reason to use Sendgrid, AWS, Google, etc. Their "value" is not the email service, it's that their SMTP servers are trusted.
If tomorrow I can just send from localhost instead of going through Google it's fine for me, but in reality, my emails won't arrive due to these filters.
The specific concern around uptime & reliability was baked into email systems from almost the start - undeliverable notifications (for the sender) and retries.
But yes, the “trust / spam score” is a legit challenge. If only device manufacturers were held liable for security flaws, but we sadly don’t live in that timeline.
Its not a device/MTA issue, SMTP just is not a secure protocol and there is not much you can do in order to 'secure' human communication. Things like spoofing or social engineering are near impossible to address within SMTP without external systems doing some sort of analysis on the messages or in combination with other protocols like DNS.
SMTP isn't at fault, the social ecosystem is at fault. Every system where identities are cheap has a spam problem. If you think a system has cheap identities and no spam, it probably doesn't have cheap identities — examples are HN or Reddit.
Trust / spam score is the largest one I think, second to consumer ISPs blocking the necessary ports for receiving mail.
Even if your "self hosting" is renting a $5/month VPS, some spam lists (e.g. UCEPROTECT) proactively mark any IP ranges owned by consumer ISPs and VPS hosting as potential spam. I figured paying fastmail $30/yr was worth never having to worry about it.
For "Trust", I believe patio11 described this system as the "Taxi Medallion of Email".
e.g. you spend a lot of money to show that you are a legitimate entity or you pay less money to rent something that shows you are connected to said entity.
For one, if my power goes out for an extended period of time I'd still like to be able to access my email. Communications really can't be hosted locally.
What a weird take. I was running my own email server 25 years ago on a 512 kbit ADSL line. No problem at all, would even be enough bandwidth today for most messages.
(Back then email still worked from residential IP addresses, and wasn't blocked by default)
I agree with you. In B2B SaaS you don't sell the software, you sell your expertise in a specific domain and the responsability you take for owning that expertise. The fact that the development costs are nearly zero will make them more valuable and more protifable
My experience is that SMBs are generally not run by people who feel confident doing any kind of self managed IT.
No amount of LLM usage is going to change them into full stack vibe coders who moonlight as sysadmins. I just don't see it happening.
Not until, that is, a new generation, that has grown accustomed to the tech, takes over.
Until then the current SMBs will for the most part fulfill their IT needs from SaaS businesses (of which I think there will be more due to LLMs lowering the barrier for those of us who feel confident in our coding and sysadmin skills already).
Maybe you are right and the companies do want to pay and not worry about these problems. But now they have a lot more SaaS options to chose from. The incumbent companies like Salesforce and Atlassian have less of a moat. Maybe they'll keep the power users but if a customer is only using 80% of the feature set there is new competition.
Competition might come in the form of a startup but it can also come from existing SaaS companies expanding into adjacent domains. Canva now does docs. Notion does email. etc
For big corporations at least prices of SaaS are rarely an issue. Issues are: we don’t have the time to introduce a new tool, what about our processes, we don’t have the right people.
I'm considering SaaS replacements with in house code in situations where my general thoughts are "how can this possibly be the pricing for this?" which is not uncommon.
Well before vibe coding, tons of open source software existed (and exists) to replace SaaS. With lots of features and knobs and real communities. But I still often pay for SaaS because managing it is a headache. Some human has to do it. I can pay the human or I can pay the company. I really don’t see how vibe coded toys can replace real battle tested SaaS products. A better explanation is the bubble in PE ratio is deflating and it’s happening all over, regressing to the mean. AI is a convenient explanation for everything
How many SaaS companies are public? How is that bubble deflating?
These are real risks to these companies.
Your in-house teams can build replacements, it's just a matter of headcount. With Claude, you can build it and staff it and have time left over. Then your investment pays dividends instead of being a subscription straight jacket you have to keep renting.
I think there's an even faster middle ground: open source AI-assisted replacements for SaaS are probably coming. Some of these companies might offer managed versions, which will speed up adoption.
> Your in-house teams can build replacements, it's just a matter of headcount. With Claude, you can build it and staff it and have time left over. Then your investment pays dividends instead of being a subscription straight jacket you have to keep renting.
Lets take Figma as an example, Imagine you have 1000 employees, 300 of them need Figma, so you are paying 120k per year in Figma licenses. You can afford 1 employee working on your own internal Figma. you are paying the same but getting 100x worst experience, unless your 1 employee with CC can somehow find and copy important parts of Figma on his own, deploy and keep it running through the year without issues, which sounds ludicrous.
If you have less than 1000 employees it wouldnt even make sense to have 1 employee doing Figma
>Lets take Figma as an example, Imagine you have 1000 employees, 300 of them need Figma, so you are paying 120k per year in Figma licenses.
I mean in an example that almost happened... "you are paying 120k per year in Figma licenses, Adobe buys it, you are paying 500k per year in Figma licenses"
At least up until the point of vibe coding it was still worth the SaaS provider charging at least as much if not slightly more than you doing it yourself because most businesses weren't going to anyway.
> you just put your employees directly on Nano Banana or one of the simple Nano Banana wrappers.
So you end up spending the money elsewhere? with exploratory design you can easily spend 10k a month on these models as a company of 1000, thus completely losing any monetary savings. Anyway you look at it, Saas worked because costs were spread out and low enough to not optimize it too much.
Now you have an entire in-house product to manage and build features on. It could potentially work but so much of what my company pays for is about much more than the software itself. One example would be BrowserStack for very specific browser and mobile app testing edge cases. Can’t vibe code this. Another would be a VPN service with the maximum number of locations to test how our system behaves when accessing from those locations. Another would be hosted git. Another is google suite and all of its apps. How can we vibe code Google Docs and Sheets and Drive and all of the integrations and tooling? It simply isn’t going to happen.
> we want recent examples just look at tailwindui since it's technically a SaaS.
This is a terrible example. Show me someone ripping out their SAP ERP or SalesForce CRM system where they're paying $100k+ for a vibe coded alternative and I'll believe this overall sentiment.
I have heard this from execs at public companies as well. I think a HUGE part of this appetite is that today no one has yet been subjected to doing business on a bunch of apps cobbled together by vibe coders.
They are just hearing the promise that AI will allow them to build custom software that perfectly melds to their needs in no time at all, and think it sounds great.
I suspect the early adopters who go this route are going to be in for a rude awakening that AI hasn’t actually solved a lot of hard problems in custom software development.
I too have an appetite for magic beans, but unfortunately, I'll be unable to eat them until they exist. As it stands now, it doesn't seem like AI stuff can produce anything with this large a scope.
So, do their AI devs have deep knowledge of the business processes, regulations/legal (of course in all kinds of regions), scaling, security, ... ? Because the LLMs sure as hell are lacking that knowledge (again, in depth).
Of course, once AGI is available (if it is ever) everything changes. But for now someone needs to have the deep expertise.
>> This is a terrible example. Show me someone ripping out their SAP ERP or SalesForce CRM system where they're paying $100k+ for a vibe coded alternative and I'll believe this overall sentiment.
I cannot imagine an SMB or fortune 500 ripping out Salesforce or SAP. However, I can see a point-tool going away (e.g., those $50/mo contracts which do something tiny like connect one tool to another.)
TailwindUI isn't really what I'd consider SaaS -- it was a buy once and download software product.
That means to keep making money they need keep selling new people. According to them, their only marketing channel was the Tailwind docs, AI made it so not nearly as many people needed to visit the tailwind docs.
If they had gone with the subscription SaaS model, they'd probably be a little better off, as they would have still had revenue coming in from their existing users.
Sorry but tailwindui is not a SAAS. There is no service or hosting. You buy a coded template once and then receive updates. It is totally not the same as a critical B2B SAAS that is running 24-7 on the vendor's servers providing real support and service.
TailwindUI unfortunately sits in a position of being an easy to disrupt business with current AI.
Now attempt the same with Zoom, I suspect vibe coding will fall down on a project that complex to fit the mental model of a single engineer maintained a widely used tool
Perhaps the case for premium CSS SaaS businesses, I guess (which seems particularly primed for disruption even pre-AI), but there are many more robust B2B categories out there that aren't literal code + docs as a service.
> I mean if we want recent examples just look at tailwindui since it's technically a SaaS.
How is it in any way B2B? At most B2C + freelancers / individuals / really small SME.
It didn't have any clues a med/large B2B would look for e.g. SSO, SOC2 and other security measures. It doesn't target reusability that I as a B would want. The provided blocks never work together. There aren't reusable components.
Tailwind UI or now Tailwind Plus is more like vibe coding pre-AI.
I, on the other hand, can't wait to fire every single B2B subscription we've got.
B2B SaaS is a VULN. They get bought out, raise prices, fail. And then you have extremely large amounts of unplanned spend and engineering to get around them.
I remember when we replaced the feature flags and metrics dashboards with SignalFX and LaunchDarkly. Both of those went sour. SignalFx got bought out and quadrupled their insane prices. LaunchDarkly promised the moon, but their product worked worse than our in-house system and we spent nearly a year with a couple of dedicated headcount engineering workarounds.
Atlassian, you name it - it's all got to go.
I just wish I could include AWS in this list. Compute and infra needs to be as generic as water.
If you're working at SaaS, find an exit. AI is coming for you. Now's a great time to work on the AI replacement of your product.
> And then you have extremely large amounts of unplanned spend and engineering to get around them.
I have no idea how you are spending "large amounts" of unplanned spend on Saas products. Every company I worked for had Saas subscription costs being under 1% of capex. Unless you add AWS, which is actually "large amounts" but good luck vibe coding that.
Metrics at a fintech processing billions of dollars of daily GPV, plus the signals from every microservice in the constellation are enormous. Huge scale time series data.
We had an in-house system that worked, but it was a two pizza team split between time series and logging. "Internal weirdware" got thrown around a lot, so we outsourced to SignalFx for a few years. It was bumpy. I liked our in-house system better, and I didn't build it.
Splunk then buys SignalFx and immediately multiplies the pricing at a conveniently timed contract renewal. Suddenly every team in the company has to plan an emergency migration.
What agents are you using? If you stick to opentelemetry and open source agents and develop a collector infrastructure -
You can switch across different vendors with lower impact and ramp off time.
Your supply chain is messed up. You need sign longer contracts with price guarantees.
how dont people understand? if you have a VC funded b2b saas, you need to charge huge margins for the investors to get a return. now, small teams can vibe code a replacement and charge 90% less money. AI is going to kill saas margins.
i literally cannot understand why people keep repeating that non tech companies will build their own software, thats not the bear case for saas
Yeah.... The code isn't the hard part. That's not where the value is.
This hard part when you're doing in house stuff is getting a good spec, ongoing support, and long term maintenance.
I've gone trough development of a module with a stakeholder, got a whole spec, confirmed it, coded it, launched it, and was then told it didn't work at all like what they needed. It was literally what they told me... I've said 'yes we can make that report, what specific fields do you need' and gotten blank stares.
Even if you're lucky and the original stakeholder and the code are on the same page, as soon as you get a coworkers 'wouldnt it be nice if...' you're going to have a bad day if it's hand coded, vibecoded, or outsourced...
This has always been the problem, it's why no-code never _really_ worked, even if the tech was perfectly functional.
Did vanilla Jira for a while, battled with a web app that is actively trying to make you hate it—switched our team to Linear, couldn't be happier ever since.
Well for marketing and sales your bigger competitor is already doing the work of showing companies that they want the functionality at all, and the cheaper competitor's sales and marketing pitch can be: we are much cheaper.
This is pretty much what blacksmith.sh does -- GitHub Actions but it's on faster and cheaper hardware. I'm sure they spend non-trivial amounts on marketing but "X but much cheaper" doesn't sound like a difficult sale.
(edit) And the design, sadly, can be as simple as "rip-off bigger competitor" -- of course if one day you are the big competitor because you "won" in the market, you'll need to invest in design, but by then I guess you'll have the money?
they dont, which is why these companies are going to get smoked. a small team of people will compete with atlassian head on. the whole saas business model is under threat
The accounting saas dores presumably uses doesn't "automate spreadsheets" as its core value prop.
related: i'm thinking these vibe coded solutions are revealing to everyone how important and under appreciated good UX is when it comes to implicit education of any given thing. Like given this complex process, the UX is holding your hand while educating you through a workflow. this stuff is part of software engineering yet it isn't "code".
1. This isn't rooted in data but anecdotes "One Series E CEO told me that they’re re-evaluating the quarterly renewal of their engineering productivity software because they along with an engineer reimplemented something using Github and Notion APIs. They were paying $30,000 to a popular tool3 and they were not going to renew anymore."
2. These anecdotes are about tech startups spend, not your <insert average manufacturing business>. Nor or they grounded in data that says "we interviewed 150 SMB companies and 40% of them have cancelled their SaaS subscriptions and replaced it with vibe coded tools"
- If our customers vibe coded better integration points for us, it probably improves our overall value to our customers.
- The software industry, especially startups, is such an insignificant portion of the market, its not really worth worrying about. But, I can tell you from experience, that even large software companies don't want their own developers spending much time on accounting, ERP, or HRIS systems and they "outsource" this to SaaS companies.
Yeah, also if a SaaS costs, 10k a year, I promise its not not more cost effecient to pull your 10k a month engineer off their usual work to build and then maintain some vibe coded slope everytime an edge case occurs.
Also many customers of SaaS have little to zero engineering staff, they are in construction, resturaunts, law offices ect. These takes are so assanine.
Even in companies that have SWE, do you really want to divert in-house SWE time to something as exciting as ... accounting rules and making sure your inventory is auditable? Or any number of the weird compliance things associated with most B2B software for a medium-size business?
Is there a place on the internet where folks like yourself, who seemingly have a way to think economically congregate? I personally dont know of one, for which if I did, I wouldnt visit here anymore.
So many takes on here are so lazy and simpleton that when you go a few levels deeper all the flaws get exposed.
Its funny you mention this, I was going to say that the only communities I've found online where +EV thinking is the norm is in professional gambling circles. However, those exist basically only in closed off discord and telegram chats, where we are actively manipulating polymarket/kalshi markets && comment sections :)
Yeah, this is just long-form linkedin slop. He's thought-leadering to get you to get his (no-doubt slop-written) guides and do leadgen for his forthcoming saas.
> What they don’t know, though, is that a poorly architected system will fail, eventually. As every senior programmer (eventually) understands, our job is complex because we have to understand the relationships in the real world, the processes involved, and the workflows needed, and representing it in a robust way to create a stable system. AI can’t do that.
I have a strong feeling the future's going to look like this:
Company vibe codes to replace a SaaS.
Little do they know this creates a time bomb: fragile systems where fundamental architectural defects are papered over by humans who knew the underlying dynamics but didn't articulate them well enough during the initial "vibe-architecture," so they're forced to patching the "impedance mismatches" with data entry or with even more vibe coding.
Those humans are eventually laid off, because of course they are. Data quality rapidly deteriorates. Operational mishaps deteriorate relationships with human counterparties. Defects begin to cost thousands to millions.
Suddenly, there's demand: not for SaaS, but for actual service businesses. Consultancies that can parachute in, do actual domain-driven design, and un-vibe that code. They do have a stronger-than-ever pool of out-of-work engineers (many from the failed SaaS companies).
The SaaS companies that survive understand that the first S no longer stands for Software; it stands for Solutions.
I see that Software as a Service banked too much on the first S, Software. But really customers want the second S, the Service.
When you sell a service, it's opaque, customer don't really care how it is produced. They want things done for them.
AI isn't killing SaaS, it's shifting it to second S.
Customers don't care how the service is implemented, they care about it's quality, availability, price, etc.
Service providers do care about the first S, software makes servicing so much more scalable. You define the service once and then enable it to happen again and again.
They didnt, dont make the mistake of thinking Saas companies are just software companies. They are Sales companies who happen to sell software. Companies like Dropbox & Atlassian have long been surpassed in Tech but they live only because they continue selling even when demand was hard to get. Their moat is sales & networking and software has to be just good enough. And other part is service, these companies still have one of best costumer service since the start of early 2010s. You can still get refund on Uber quite easily, but if you try doing that at a regular old school company you would require a prayer and couple of business weeks.
Nah it's not that at all. Most of the services are totally fungible and everyone has a short attention span. You need to be in a market which is extremely difficult to disrupt and have a product which people are totally dependent on. And those tend to have a rather large cost to enter unless you were in early.
Yes, many don't like Sharepoint, but still they use it. It's the tool they can use.
Customers don't care if Sharepoint uses LLM, they just want to share ideas, files, reports, pages, etc. If LLM makes it easier, great! If some other product makes it easier, great!
It's not about the product it's about the results.
You're proving the point? Sharepoint, teams: availability + price. Every company has microflows, sharepoint and teams are automatically available and part of the price or lower priced than the competition.
I just don't want to pay $50/user/month for an initially open source product that was relicensed and then crippled that the initial group giving something away decided they wanted to make a business of it.
I think one of the interesting things here is that AI doesn't need to be able build B2B SaaS to kill it. So much of the overhead of B2B SaaS companies is thinking about multitenancy, intergrating with many auth providers and mapping those concepts to the program's user system, juggling 100 features when any given customer only needs 10 of them, creating PLG upsell flows to optimize conversions, instrumenting A/B tests etc...
A given company or enterprise does not have to vibe code all this, they just need to make the 10 features with the SLA they actually care about, directly driven off the systems they care about integrating with. And that new, tight, piece of software ends up being much more fit for purpose with full control of new features given to company deploying it. While this was always the case (buy vs build), AI changes the CapEx/OpEX for the build case.
And in many cases, it's 12 features, with 2 of the features not even existing in the big SaaS.
I'm pretty sure every developer who has dealt with janky workflows in products like Jira has planned out their own version that fits like a glove, "if only I had more time".
If companies wanted to build thier own simple-JIRA they could have built themselves before. I dont think making a kanban board was hard even before AI.
JIRA especially, and I'm always shaking my fist at Atlassian that simple APIs or workflows or reports aren't already included in the tool. I have to pay some other company $10/user/month to get this dumb report your tool should already be able to do?? Insane.
Until a given company decides they need access control for their contractors that's different from their employees, etc. etc. etc. - seen it all before with internal often data scientist written applications that they then try to scale out and run into the security nightmare and lack of support internally for developing and taking forward. Usually these things fizzle out when someone leaves and it stops working.
Pretty much. My employer was looking to cut costs and they were spending ~500k a year on a product that does little more than map entra roles/groups to datasets and integrated with a federated query engine through a plugin. Took a couple days to build a replacement. The product had only a few features we needed.
As niche SaaS provider, I'm trying to avoid succumbing to the same fate. The product I built carefully for years would now be within the reach of a senior dev with a couple focused weeks -- if they knew all the requirements. To avoid being overtaken, I'm working to increase my customer's requirements -- getting them hooked on new reports and features I never had time to build before LLMs could do it for me. This makes it less likely for a competitor to be able to afford to quickly replace me.
At the same time, I have no idea what the cost of LLMs usage will be in the future. So I'm working to ensure the architecture stays clean and maintainable for humans in case this kind of tooling becomes untenable.
That sounds like a good strategy to me. We have a couple other products we're looking to knock out to reduce costs, and the decision comes down to me and another colleague. The thing these businesses have in common - difficult to partner with, rough edges for the use cases we need, and no appetite on their end to shore them up. We're paying premium prices for a subpar experience. If instead they adopted your thinking, perhaps we would've looked for savings elsewhere.
I've found in the embedded space that people sell lots and lots of products that do everything you could ever want, and the most efficient thing to do is not buy those things and instead find a way to do just the subset of things you care about with your own back-end systems. The upshot of that is that because you're in total control if something goes wrong you can fix it without getting 6 people on a phone call to point fingers at each other.
there's no shortage of software engineers, if it was so easy for an organization to replace a saas with something built in-house they'd be doing it all the time. In my experience in enterprise consulting implementing a well defined requirement is the easiest part. Getting everyone to agree on the requirement, getting it defined, and stopping it from changing after every demo is the hard part.
I don't think it is killing SaaS. I have definitely had to extend my sales cycle when a potential customer vibe-coded a quick fix for a pain point that might have triggered a sale a few weeks earlier, but eventually the benefit delivered by someone else caring about the software as their entire mission really wins out over a feature here and there.
If you are selling SaaS consider that a vibe-coding customer is validating your feature roadmap with their own time and sweat. It's actually a very positive signal because it demonstrates how badly that product is needed. If they could vibe code a "good enough" version of something to get themselves unstuck for a week, you should be able to iterate on those features and build something even better in short order, except deployed securely and professionally.
Everyone's going to talk about how cool their custom vibe-coded CRM is until they get stuck in a failed migration.
Yeah I have been saying this since the start of vibe coding, Saas companies rely on their sales, who are good enough to sell ther products even in tougher conditions. Software costs for the companies is 100% tax deductible, and they spend a very little on it (Most of times its less than 1% of CapEx). Only reason to optimize this cost is if the Execs of those companies think you can sell the same product.
The other thing is bringing in the knowledge about what other customers in the same field want. For business-focused software this can be a boon, customers often can't really envision the solution to their problem, it's like the Henry Ford attributed "If I had asked people what they wanted, they would have said faster horses"
> Everyone's going to talk about how cool their custom vibe-coded CRM is until they get stuck in a failed migration.
Failed/partial/expensive migrations is the name of the game with SaaS as well. Lock-in is the bottom line.
Migrations become much less scary when you truly own your data and can express it in any format you like. SaaS will keep sticking around, especially those that act like white-hat ransomware.
"For example, to create a data visualization I won’t seek any SaaS. I’ll just code one myself using many of the popular vibe coding tools (my team actually did that and it’s vastly more flexible than what we’d get off-the-shelf)."
That maybe doable in your 10-people startup, Namanyay. Try doing it in a larger organisation with layers upon layers of firewalls, databases, authentication systems and not the least importantly - management. Not to mention the vastly different audience, both in size and interest. Your own experience is not the experience of everyone else.
I guess they mean BI, but for a company of any scale, they aren't paying for a chart, they're paying for a permissions system, query caching, a modeling layer, scheduling, export to excel, etc.
Stand alone BI tools are going to struggle, but not because they can easily be vibe coded. It'll be because data platforms have BI built-in. Snowflake is starting down this direction and we're (https://www.definite.app/) trying to beat them to it.
> How to keep asking customers for renewal, when every customer feels they can get something better built with vibe-coded AI products?
Wrong take. You don't need to build something better, you only need something good enough that matches what you actually need. Whether you build it or not and ditch the SaaS is more of an economic calculus.
Also, this isn't much about ditching the likes of Jira not even mentioning open source jira clones exists from decades.
This is more of ditching the kind of extremely-expensive-license that traps your own company and raises the price 5/10% every year. Like industrial ERP or CRM products that also require dedicated developers anyway and you spend hundreds of thousands if not millions for them. Very common, e.g. for inventory or warehouse management.
For this kind of software, and more, it makes sense to consider in-housing, especially when building prototypes with a handful of capable developers with AI can let you experiment.
I think that in the next decade the SaaS that will survive will be the evergreen office suite/teams, because you just won't get people out of powerpoint/excel/outlook, and it's cheap enough and products for which the moat is mostly tied to bureaucratic/legal issues (e.g. payrolls) and you just can't keep up with it.
Having participated in the build of an inventory system / system of record for a large national retail company, I can't see vibe coding helping anything more than the prototyping in the discovery / requirements gathering parts of the process.
The sheer volume of data, the need for real time consistency in store locations, yada yada means that bad early decisions bite hard down the road.
Lots of drudge work can be assisted by AI, especially if you need to do things like in ingest excel sheets or spit out reports, but I would run far away from anything vibe coded as hard as possible.
One of my clients spends 500k+ on XXX licensing per year (for a 200M revenue company that's not peanuts), and on top of that has to employ 12 full time XXX developers (that command high figures just for their expertise on that software while providing very little productivity) and every single feature takes months to develop anyway. Talking about stuff like adding few fields to a csv output.
So the total cost of XXX is in the 2M/year range, and it keeps ballooning.
My (4 men) team already takes care of the entire warehouse management process except inventory, the only thing that XXX provides, we literally handle everything: picking, manufacturing, packaging, shipping phase and many others.
In any case, nobody has mentioned vibe coding.
I stated that a handful of good engineers with the aid of AI in a couple of months can provide a working prototype to evaluate. In our case it's about extending our software that already does everything, except inventory management.
When you spend 2M/year on a software (1% of your revenue), growing every year by 100/150k it makes sense to experiment building a solution in house.
That situation makes sense but then i have to ask why hasn't it been done already? Software developers are not rare and if the use case is so isolated and discreet then surely it would have been tried by now. Even without genAI, CRUD, RDBMS record management, SSO, row level security... none of those things are new or out of reach until now. I think what you'll find is when you sit down with the users and start asking about the parts of the exiting system they actually need you'll never get agreement nor a clear answer. When/if you finally get a set of requirements and after UAT sign-off and then after go-live the users will say "this isn't what i meant" and you're back to square one. Rinse/repeat for years and then one day an exec will say "why are we wasting all this time, let's just subscribe to an OTS saas and make them configure it to meet our needs".
Nobody gets fired for choosing SAP, Salesforce etc.
Spending tons of money to get a janky, unreliable system of record, or finding out too late it is missing crucial auditing capabilities, or that it has Big Money bugs, on the other hand, is far worse, especially if you have investors asking what the hell you were thinking.
Your point about users not knowing what they wanted until after the fact is also painfully true. The hardest part about these systems is the people most likely to buy are the ones who have been doing it with a lot of human processes for years. Buying a SaaS or other third party product means having leverage to force them to change to more standard practices. Building in-house means that everyone will fight to high hell to make sure that their special snowflake way of doing things is accounted for and you end up in a worse spot as a result.
Its funny you mention excel, I see vibe coding in the business sense right now being a gateway to replace all of the ad hoc uses of excel. We've basically leveled up the quality of the software you can build before buying a SaaS product or a hiring an in house engineer.
The moment vibecoded excel has a bug that regular Excel doesn't and a user has to wait on you to re-vibecode it's over. They'll just use Excel while you're trying to get the llm to find and fix the bug.
It's this generation's "build vs buy." I imagine it will play out the same way, like a revolving door. Customers churn because they can "build it themselves," then a year later when they're sick of maintaining a mess of code for some internal system instead of delivering value to their own customers, they come back. A blip.
Simple CRUD app sure, but we're nowhere near being able to vibe code even a relatively low-complexity enterprise SaaS product.
If it's got customer data in it and/or you're making important business decisions based on it, you really need your system to be accurate and secure. My experience is the people who procure enterprise software know this and tend to care a lot about it. They often have legal and contractual obligations around that.
In the 1990s there were people who thought OOP with point and click tools like FoxPro and Delphi would make it so easy to create software that everything could be built in-house without expert programmers. The invention of SQL was supposed to eliminate roles like Report Writer and Data Analyst because now business people could just write their own queries "in English" and get back answers.
> In the 1990s there were people who thought OOP with point and click tools like FoxPro and Delphi would make it so easy to create software that everything could be built in-house without expert programmers. The invention of SQL was supposed to eliminate roles like Report Writer and Data Analyst because now business people could just write their own queries "in English" and get back answers.
And yet, precisely that happened in the end, just not with the tools envisioned. Excel, VBA and, where you had one knowledgeable employee, MS Access makes for incredibly powerful and incredibly hard to maintain "shadow IT" - and made even more difficult when someone sneaked in a password, because that takes a bit of an effort to remove [1], knowledge that is easy for us today to find, but not when I was young.
Also, back in the IE6 era, there was a lot of point-and-click created web interfaces... just that it wasn't HTML5 or even HTML. It was an <object> tag loading some ActiveX written by some intern in VB6, or Java, or Flash. I sort of miss that era but also, it was a damn security nightmare. Flash with its constant stream of security vulnerabilities was ripe for exploits, but at least it didn't run native code with full user privileges by design. I'm not kidding, theoretically you could go and import/use functions from any system DLL up to and including Kernel32. OLE/OCX, ActiveX... a design way ahead of its time.
Maybe it's mostly from AI, maybe it's mostly general economic cutbacks. I also feel like these "wrapper" style SaaS products are the first ones companies are dropping when they are looking to cut costs, and I think a lot of companies are looking to cut costs. I do agree with the overall conclusion either way, that System of Record products/companies are the most likely to survive. There are a lot of SaaS companies with questionable long-term businesses who are getting hit, but that was bound to happen.
I think it's a combination of budgeting, upward price pressure from the SaaS companies themselves, plus bringing things in-house through vibe coding, but there's another factor that I think is harming existing SaaS products. Many of them are becoming legacy solutions with AI bolted on top so they don't really feel that effective or next-level. The underlying tech might even be a generation older too - but the SaaS value-add is providing support, scaling, etc to maintain whatever some old tech that's still a requirement. At some point someone looks at all of these interconnected systems and just says 'start over'.
Vibe coding might not be supplanting all SaaS solutions but it's definitely shaking out "last-gen" solutions.
The stocks of a lot of these SaaS companies were priced on the expectation that they could become the next IBM: become entrenched with the customer and then hike prices until their eyes bleed.
A lot of companies have been too smart for that, and a lot of SaaS offerings are too small to be truly entrenched. Arguably the investment horizon is too short (IBM took decades getting to that point).
The only real vendors who managed to become the next IBM are the cloud providers.
Analytical systems. I see a lot of add-on services that will add intelligence/analytics/etc and companies try them out to solve some issue they have and bounce off them frequently due to growing costs. I can only assume as mentioned that over time these are also easier for companies to in-house vibe-code as well, I just haven't seen a ton of that yet, but people are definitely trying which still shrinks the available pie.
This isn't happening. The past six months has been rough on public B2B SaaS valuations, but the impact is a lot wider than just B2B SaaS (its all non-S&P10 software), and valuations are just vibes in the end. Most of these companies are, financially, doing pretty well; seeing key metric growth, including revenue and profit. This makes sense: AI does not fundamentally change the bargain SaaS brought to the table, that companies would rather pay someone to solve their problems than solve them themselves. However, the stock market doesn't care about this. The stock market doesn't care about anything; it behaves irrationally and non-sensically, and trying to derive any sense of how stable, strong, or successful a company is from stock market valuation is like using lines of code to claim that a software project is really good.
>that companies would rather pay someone to solve their problems than solve them themselves.
Are they not able to just engage AI to solve those problems now? E.g. this morning I saw an app that did something interesting to me for $20 a month. 20 minutes in Gemini and I had a functional app that replicated the behavior. SaaS are more complex but give me a small team and a couple months and we could replicate most any of them.
I think opensource is a good analogue here. For many SaaS products, you don't even need to vibecode anything - there is already a reasonable OSS alternative. Yet people still pay for the SaaS. They want support, maintainability, security, edemifcation, a throat to choke, regulation and domain expertise, etc.
I do think like this HN post (https://news.ycombinator.com/item?id=46847690) is a good example of where a custom more domain specific solution makes a lot more sense that dropping in an off-the-shelf ERP. Still though, I think the bakery would prefer to buy the bakery-ERP than build it but vibecoding does reduce the barrier to entry so we might see more competition and share taking from incumbents by domain-specialized new entrants.
This feels a lot like the old RPA hype cycle to me — more sales narrative than structural change.
Most companies are not going to replace stable SaaS with a pile of AI-generated internal tools. They don’t want the maintenance or the risk.
If there’s a real B2B game changer, it’s Microsoft.
The day Excel gets a serious, domain-aware AI that can actually model workflows, clean data, and automate logic properly, half of these “build vs buy” debates disappear. People will just solve problems where they already work.
Excel has always been the real business platform. AI will just double down on that, not kill SaaS.
> The day Excel gets a serious, domain-aware AI that can actually model workflows, clean data, and automate logic properly, half of these “build vs buy” debates disappear. People will just solve problems where they already work
Best they can do is more adware in windows. Sorry.
It's not and I really doubt it will, for true SaaS platforms. A desktop .gif recorder (frequent example I've read about) is not a SaaS, even if you charge monthly for it.
Let's put an example an exception-tracking SaaS (Sentry, Rollbar). How do the economics of paying a few hundred bucks per month compare vs. allocating engineering resources to an in-house tracker? Think development time, infra investment, tokens, iteration, uptime, etc. And the opportunity cost of focusing on your original business instead.
One would quickly find out that the domain being replaced is far more complex and data-intensive than estimated.
There are many cases where the company might only use a fraction of the features (and therefore complexity) of the SaaS and so only need to develop and maintain those features they actually need. That's when ditching the SaaS can make sense if you can easily develop/maintain what you specifically need on your own with AI assistance.
Even if they use it less, if you combine all of the Saas products used by a company, thats a tiny fraction of the overall CapEx. And this cost is tax deductible, so there is no reason to optimise it unless Execs are really penny pinching, but at that point that company isn't worth selling to anyway.
> we have to understand the relationships in the real world, the processes involved, and the workflows needed, and representing it in a robust way to create a stable system. AI can’t do that.
That is because AI is living in our world, instead of the opposite where we live in AI's world.
Case in point: maybe the AI hallucinated a class method that never existed in our world yet, but perhaps in the AI led processes and workflows it would be written to better fit into the smooth gradient decent those same top parameters' scores.
Anecdata sample size of one, but this is not my experience at all. My business has only continued to grow over the past couple years, and I don't think I've had a single customer mention AI to me at all (over the phone or email).
It’s not as far-fetched as people think. I see so many comments here doubting you can vibe code a full CRM or e-commerce SaaS, but a skilled AI-assisted programmer absolutely can, especially if they're aware of strong open-source alternatives already out there.
For Salesforce-like CRM, there's Twenty[0], a good-enough alternative. For Shopify-style e-commerce, Medusa[1] is a headless commerce platform.
The real power comes from using AI to study how these projects implement specific features (payments, inventory, customer dashboards, etc.) and adapt them to your stack. AI excels at finding the "seams" (those connection points where a feature ties into the tech stack) and grasping the full implementation. The trick is knowing precisely where the feature lives in the code (files, functions, modules), because AIs often miss scattered pieces otherwise. That's what I'm building at opensource.builders[2]: turning OSS repos into a modular cookbook with structured "skills" that point to exact details for reliable remixing and porting.
SaaS companies are forever beholden to raising their market cap, even in solved spaces like cart, payment processing, and CRMs. Most businesses run on CRUD apps anyway, and if your core app exposes an API, you can build any customization you need on top of it. People here discounting how valuable it is for a business to have the software that runs their business on a tech stack they understand and something they truly own.
Lot of places that I see AI disrupting - I'm not buying that SaaS is going to be a significant one.
Reading through the article:
> They were paying $30,000 to a popular tool3
Couple things we needed to understand here:
- How large is the client company
- Is that $30,000/month or day or hour....
If it's a technology company of > 1000 employees - then $30,000 month doesn't even get Finance's attention. And there is next to zero chance that anyone is going to vibe-code, deploy, support and run anything in a 1000 person+ company for $30,000 a month. SaaS wins hands down.
Any product/service that people care about comes with a pager rotation - which is 6-7 employees making > $200k/year. If you can offload that responsibility to a SaaS for < $1mmm/year - done deal.
Yeh but in a company of 100 employees for software of 30k a year, it's more than worth it to take your standard 50k (GBP) dev and have them replaced it. It's a one time cost, and the support time will certainly be less than 50% of their time every year so it saves money.
There are many companies that operate like this all over the world. Outside of the hyper-growth tech VC world cutting costs is a very real target and given how cheap Devs are outside of America it's almost always worth it.
I can't imagine it would ever be worth, under any scenario, trying to write/build/support any $25/seat SaaS software for any company I've worked at in 25+ years.
Another thing to keep in mind - very little of the cost of a SaaS license is the time it takes to build the software. Security, Support, Maintenance, Administration, backups/restores, testing/auditing said backups/restores, etc, etc.. and then x-training new SREs on how to support/manage this software, ...
Even as someone who spend 10+ hours a day churning out endless LLM applications, products, architectures from my myriad of Cursor/Codex/CC interfaces and agents - I'm dubious that LLMs will ever eat into SaaS revenue.
I'm sure (lots of) people will try - and then 1-2 years in someone will look at the pain, and just pull the ripcord.
I am kind of hoping that AI will kill the startup grab for money TBH. Too many wannabe CEOs I've met in the past 2 decades have gotten rich thanks to a lucky pitch without a clear path to a viable product. At least 6 of those I know did so at the expense of developers that accepted equity over cash...and the developers wasted a ton of time and 2 even were briefly homeless as a result...and none of them live in California.
Hopefully wannabe senior leadership will try and take advantage of AI without taking advantage of developers, because most of us just want to write code and build something great.
I predict the fallout from this is companies being nickel & dimed to death by a million smaller subscriptions (rather than just cutting a huge check to Workday, ServiceNow, SAP, Oracle or similar). There is such a glut of AI ISV startups that are filling highly specific niches, and some are quite good, but they're all usually in the $10-50/mo/user. Gets to be big numbers pretty quickly in a large enterprise.
I was reading through the article and waiting for the key info to drop, but nope. It never did. It seemed like marketing fluff. If anything, vibe coding may eliminate some of the B2C SaaSes, but not B2B. If you think an enterprise is going to vibe code a B2B offering that they pay millions for, you're out of your mind.
Here's my general mantra regarding AI: NEVER take suggestions about AI from people who have a vested interest in it. CEOs of companies that train and offer LLMs, Authors of Books about LLMs and AI in general, etc.
This may come off as an unpopular opinion, but this is how I felt after listening to Steve Yegge recently. He has a new book about Vibe coding and he goes on in the interview/podcast to say that the best programmers he knows in the world (the ones better than him and maybe even the top world class programmers), would be equivalent to those of interns in an year, if they don't start vibe coding or use AI. I respect the guy, but damn, this is just peak delusion. He didn't even say it as a hyperbole, he meant it.
According to popular CEOs of companies training LLMs, 2024 was supposed to be the year that would eliminate the need for Junior and mid-level engineers. 2025 happened. Now, we are in 2026.
So yeah, I'm never taking advice about AI from these people ever again.
> Here's my general mantra regarding AI: NEVER take suggestions about AI from people who have a vested interest in it
I get where you're coming from, but let's say you're talking to a HVAC installer, and he recommends you a system to get - I'm sure there's financial self-interest on his part, but I do like to think that he knows quite a bit about what he does, and believes what he's selling is genuinely good stuff (and has reason to), even if he oversells it a bit.
The analogy can work if you're not looking for an HVAC at all and the HVAC guy is instead approaching you, unprompted, to explain that you need to buy this new system. Because if you don't, your business will become uncompetitive and fail.
True. That's the case with almost any commodity in life. That's why I was specific about AI.
The difference is, in other sectors, there's no fear-mongering. If you don't use their HVAC, it's fine. Your job isn't getting replaced. The air you breathe in your home isn't going to be fully polluted. You have other options.
With AI though, there's no middle ground. You either use their tool and become extremely successful (so much that you don't know what to do with that much success) or you're out of a job and become obsolete in like the next 3 seconds.
AI, as do most things, help the big players get bigger. If someone is automating small parts of the b2b layer they get dropped, but it’s harder to drop an automation that companies are used to. I don’t see how AI is changing that, companies spent a lot of time and money to set up the automation because it’s needed and because they can write a potential replacement cheaply doesn’t mean they are going to rip away something that works and is reliable.
I don't see that happening because companies need to concentrate on their differentiators. Is your enterprise vibe coding its own SaaS? Who's taking care of it?
We wouldn't do it for tools that are purpose made and have sane pricing in the market place. We do it for stuff that would traditionally go on a 'platform' like Salesforce or something that requires a lot of customization to begin with. It's so much easier to just roll your own than even just going through the procurement process of those kinds of tools much less the integration and change process (hiring consultants, etc). I'm not hands on with it, but I know our small group of AI are helping us eliminate $5m recurring annual spend this year and that's directly impacting the topic article. I won't be surprised if at some point we replace our more sticky ERP software or use this leverage to negotiate prices that are sane. Businesses have been gouged by enterprise software long enough.
Yes to some extent. We wrote a CRM that works for what we needed. It's not a full blown SaaS product we could sell to any company as a tenant, as they would all want other features that aren't important to us. This is what happens during an implementation anyways, we only implement what we care about.
No names, but my company is service companies (mostly residential) - many logos with different verticals (think electric, hvac, etc). Having a SaaS CRM that served all our brands needs was always a challenge and made aggregating anything difficult (we basically were running multiple CRMs)
We were using dozens of SaaS tools per logo - and just going through them all and figuring out what features we need/want and rolling them into the larger system. We've also built handful of things for internal operations, finance, etc
While the author is wildly overstating things, I do think AI is striking at the heart of the SaaS problem, which is the business model of "pay us $10-100+ per employee per month in perpetuity or we will hold all your data and your company's operations hostage". There is always going to be value in good software, but it is shitty vendors relying on the lock-in effect that are in danger. And good riddance.
The other issue is valuations - B2B SaaS stocks have never been rooted in reality, and the 100+ P/E ratios were always going to come down to earth at some point.
Agree on the valuations. Most have come down and many have overcorrected imho.
As expensive as some of these software seem in terms of cost per seat, most of the subscription contract rarely exceed a few hundred thousand / year if even $1mm, which is drop in a bucket for many companies. (vs running on-prem servers, having staff to support them)
You'd think Atlassian would be printing money given everybody under the sun is using them, but they only make $5B in annual revenue.
I've worked at fortune 50 companies for a while and custom enterprise software is still alive and well for things that are too business specific to buy off the product for. But they're not going to be in a rush to create their own Workday, Salesforce, Jira, Figma, SAP, etc.
Focus is a currency and you have a limited amount of it, if all SaaS is built internally, teams would go bankrupt. There's likely always going to be a band of experts focused on solving a problem and everyone pays them to solve it for them, because they do it better and can handle the hassle of maintaining it.
One problem with centrally produced and distributed software is that a small subset of users demanding certain features results in feature bloat for everyone. Costs for all features are shared by all users.
Probably one way SaaS companies will adapt is to break up their offerings into more modular low cost components. While many customers will end up paying less, the addressable market will probably increase because of the new low cost options.
To a degree but most enterprise focused software usually has differential pricing. Often that pricing isn't public so different companies get different quotes.
“Killing” is a bit strong, but is there a world where folks just vibe code solutions that they would have bought previously? Absolutely and and I think that world is here now.
I’ve seen many startups recently were it was like “guys I could vibe code your ‘product’ in the afternoon.” Yes someone needs to look after it etc, but the bar on where companies buy vs build is getting much, much higher.
(Insert rant from dev teams about the code sucks, who will maintain it, etc). Yes all valid points, but things are changing regardless of if folks like it or not.
Counterpoint, all your customer's data just got stolen by teenagers in the 3rd world and is available for purchase on the dark web. Was it worth saving $5k a month?
A lot of startups/small businesses are like "with AI we can build more than ever". The problem is so can everyone else and capitalism rewards scarcity not value. The bar for startups and small software business has risen quite substantially. I know we are avoiding buying software now where I work if possible unless we previously committed to it (contracts).
The framing of 'vibe coding replaces SaaS' misses the more interesting shift: the value SaaS provided was never really the software — it was workflow automation. Software was just the best delivery mechanism we had.
What's changing is that agents + APIs are becoming a better delivery mechanism for many workflows than a UI you manually operate. A company paying $50k/year for a marketing analytics dashboard doesn't actually want a dashboard — they want answers about what's working. An LLM with API access to their data sources often delivers that faster than navigating someone else's opinionated interface.
The SaaS most at risk isn't infrastructure (Stripe, Twilio) or systems of record (Salesforce, Workday). It's the 'pretty UI on top of data you already own' tier — analytics, reporting, simple automation, basic CRM. That's where the compression happens. The products that survive will be the ones that become the system of record, or that offer value AI genuinely can't replicate (regulatory compliance, deep integrations with legacy systems, etc).
Reminds me of the story of when the Surgeon General (in the US) reported that smoking causes cancer.
People stopped smoking immediately, and cigarette sales tanked. The cigarette companies laughed (with all the phlegm in their throats and lungs) and sales came back 1-2 weeks later.
I suspect in a few months or a year companies with vibe-coded replacements for SaS products will find they need to go back: But, just like how many less people smoke today than in the past, the writing is clearly on the wall. At some point someone will figure out how to replace SaS with AI; it's just going to take a lot longer than many think.
Most people who've been in a business SaaS environment know that writing the software is relatively the easy part aside from in very difficult technical domains. The sales cycle + renewals and solution engineering for businesses is the majority of the work, and that's going nowhere.
A middle 100-500 heads firm don't need enterprise level SaaS, a vibe coded website will suit them better.
Fundamentally, those workflow/orchestration SaaS needs to answer the question why people should pay you premium while only getting 80% where they want to be.
With a new agentic-lashup tearing across the internet every week, pointing the way to "gradient descent" software development, any purchasing manager worth their salt is going to ask some serious questions about their enormous SaaS bill before committing to another expensive long term contract. It follows that valuations must decline. Even if only because risks to moats have increased, but also because it makes sense to negotiate hard on pricing when there's fear in your counterparty.
I think people here need to accept that software is becoming electricity, you get charged when you use it and by how much. You don't pay for a box shaped electricity or purple color electricity, it is just electricity.
As a founder, there is another angle here that is worth mentioning. Not only does AI B2B SaaS allow insourcing, it also allows there to be 10x (imaginary number) the number of companies building SaaS for the same use case. What we see in healthcare or finance for example is executive fatigue from demos, in many cases mostly vibe coded frontend UIs that entrepreneurs are using to test the market. This creates friction for businesses / SaaS companies that are unable to show how their solution is unique, well built or has a clear moat over the many others they have seen.
AI isn't killing SaaS exactly, but instead of selling UIs, SaaS companies are going to have to focus on infrastructure and data. You have to host stuff somewhere, so there's an inescapable cost and transaction that has to take place. If businesses can pay one bill for infra + data management and get nice apps and stuff on top of that (without being locked in), that makes more sense than trying to roll stuff together even if you have a platform team.
The reason for divergence is actually much simpler. NASDAQ 100 includes data center builders, Morgan Stanley software index doesn't. Stock market is going down across the board if you exclude data center construction.
- A company vibe codes their own app to replace a SaaS. Great when they only wanted a small chunk of the functionality.
- Startups benefitting from AI coding are copying mature SaaS companies and competing on price.
- Mature SaaS companies are branching out into each others domains. Notion is doing email. Canva is doing an office suite.
there is no saas downturn caused by AI. wall street is just starting to say hang on a minute, why is this SaaS stock trading at a price to earnings ratio of 300?
then the sell-off is attributed to AI because it is far easier to say to shareholders hey we know our company lost half its value but thats actually a good thing because we need to pivot to AI and we're going to spend all our free cash flow on AI software and our stock should totally be trading at 300x earnings again in a few weeks. if you can last another few months as CEO and the fed cuts rates you'll be able to ride it out
of course, the tide is going out on a few dogs. I don't think adobe will become dominant again
you see the same trend with mass-layoffs being blamed on AI. easy way to sell bad news to the shareholders
in 2026, AI and JE are the two reasons for absolutely everything
Saas companies will survive for the same reason they do today. The operational overhead of any sufficiently complicated piece of software is too much, even more so if it's vibe coded.
Remember when businesses ran on cobbled together access databases and vb? It was easier than building something ny prompting an llm.I made a good living just rewriting those things for them when they fell apart.
I would assume one major thing here is that many orgs only need a small subset of functionality from what most products provide. Many times, that small subset of functionality is only "good enough" in and of itself, but the org is paying the premium for the entire suite of whatever it is. This makes realizing that an LLM can get them to MVP and beyond much easier.
Charging hundreds of thousands if not millions per year for very basic functionality is what is "killing" b2b SaaS.
There is also the benefit of being able to use a single database (and hence schema) across multiple "apps". In many cases the complexity arises from the fact that all these apps have their own databases.
For the most part, you can replicate any B2B SaaS product in a spreadsheet. The same reasons why spreadsheets didn't kill B2B SaaS apply to "in house vibe coded SaaS replacements." The original in house apps are (and continue to be) spreadsheets.
Sure, vibe coding has impacted user's expectations. They know you can ship a new update easier and faster than before - and you actually can.
But, not sure which successful SaaS companies just stopped shipping any updates to the product, never talked to their customers and never added any new features to win over major new accounts - and still managed to survive and thrive?
And the author actually confirms this:
> AI isn’t killing B2B SaaS. It’s killing B2B SaaS that refuses to evolve.
here's the secret saas can vibe code features too on top of their paid well developed and secured api. they can get off their ass and vibe code a mcp wrapper, so user can use the ai tooling they pay for to interact with their saas. and they'd be called visionary hero of the agentic revolution.
but they don't want to. and they will be replaced, as it's good and well.
Something notable for SaaS which this article doesn't mention is that in some cases the reason to buy rather than make yourself is due to needing to handle a bunch of different regulations which LLMs don't threaten (barring businesses which would rather have lawsuits than pay for a SaaS).
At the end of the day you do not need to replace your B2B SaaS with AI.
You need your B2B SaaS to think you can use AI to replace it though, so said SaaS will keep it's prices reasonable. Otherwise they have you by the balls and will charge you much as humanly possible.
No.. just.. no.
This will be a thing for like 1, maybe 2 years, then people will realise it doesn’t make sense to spend $50K of time per annum to replace a $500/month subscription for a better product.
A link shortener is such an easy thing to code, it's essentially one database table with a redirect. To add to that, there are many open source libraries to implement link shortening, including analytics and stuff. Even then Bitly and Rebrandly have customers (from their website) like Toyota, Cisco, Oracle, Monday.com, New York Times, etc.
Are these companies unable to build a link shortener? It's also so easy to migrate off shortener service. If they can and still choose to use these shortening services, there must be other reason. And that reason is that they simply don't want to. This has nothing to do with AI.
I run a software company and one of the reasons customers say they want to migrate from their homegrown spreadsheet is because the guy who built it left. A freaking spreadsheet!
Such blog posts and probably many comments here are the perfect answer to "Tell me you don't run a real business without telling me you don't run a real business"
Regarding your last comment, majority of the people here are costal with FAT paychecks slinging code for VCs. It’s a totally different universe than running a Saas. That said, still a valuable forum.
Until Claude Code comes with indemnity insurance for HIPAA / GDPR / etc… B2B SaaS is here to stay. You want me to convince my auditor that the vibe-coded in house software handles PII correctly?
Making the audit someone else’s problem is 90% of the ‘buy’ value in ‘build vs buy’
Spot on. You could argue that most companies buying B2B SaaS could almost always build a clone internally but they need someone to assume SLA and liability.
no. High interest rates and a cautionary view of future economic growth are killing B2B SaaS. Money is no longer free, and so there is a bigger push for cost-cutting rather than growing your buisness with free money.
"The SaaS model was built on a simple premise: we build it once, you pay forever."
I've never seen a SaaS product that fits this description. There are always things to do. Libraries to upgrade, performance bottlenecks to diddle around with, an endless stream of nonsense feature requests from people at the customer who never actually use the product, fun experiments your developers want to try out, and so on.
The hard part in SaaS is to delete code, and that's what you should do, at least some of the time. Either through simplifications, or just outright erasing functionality that very few if any of your customers rely on.
What you should not do is let your customers grow the liability that is code in your production environment, unless your entire product set is designed to handle things like this, e.g. the business models of Salesforce and SAP.
I don't think AI is killing B2B SaaS so much as companies are finally reckoning with the immense costs of SaaS in a markably different environment than when SaaS exploded in popularity, and AI offers an off-ramp to some. Let's break it down camp-by-camp to show you what I mean:
1) The must-haves. These are your email and communication systems, the things you absolutely have to have up and available at all times to do business. While previously self-hosted (Exchange/Sendmail, IRC/Skype/Jabber, CallManager/UCS), the immense costs and complexities of managing systems ultimately built on archaic, monolithic, and otherwise difficult-to-scale technologies meant that SaaS made sense from a cost and a technical perspective. Let's face it, the fact nobody really hosts their own e-mail anymore in favor of Proton/Microsoft/Google/et al shows that self-hosting is the exception here, not the norm - and they're not going anywhere regardless of how bad the economy gets. These are the "housing stock" of business, and there's plenty of cheap stock always available to setup shop in without the need for technical talent.
2) The juggernauts. The, "we can do this ourselves, but the pain will be so immense that we really don't want to". This is the area where early SaaS solutions cornered and exploded in growth (O365, ServiceNow, Google Workspaces), because managing these things yourself - while feasible, even preferable - was just too cheap to pass up having someone else wrangle on your behalf with a reasonable SLA, freeing up your tech talent for all the other stuff. The problem is that once-focused products have become huge behemoths of complex features that most customers neither need nor use on a regular basis, at least after the initial pricey integration. Add in the ease of maintainability and scalability brought by containers or microservices, along with the availability and reliability of public cloud infrastructure, and suddenly there's more businesses re-evaluating their relationships with these products in the face of ever-rising prices. With AI tooling making data exfiltration and integration easier than ever from these sorts of products, I expect businesses to start consolidating into a single source of truth instead of using dozens of specific product suites - but not toppling any outright.
3) The nice-to-haves. The Figmas, the HubSpots, the myriad of niche-function-high-cost SaaS companies out there making up the bulk of the market. Those whose products lack self-hosted alternatives risk having vibe-coded alternatives be "good enough" for an Enterprise looking to slash costs without regard to long-term support or quality; those who compete with self-hosted alternatives are almost certainly cooked, to varying degrees. If AI tooling can crank out content similar in quality to Figma and the company has tech talent to refine it for long-term use, why bother paying for Figma? If AI tooling can crank out a CRUD UI for users that just executes standard REST API calls behind the scenes, then why bother paying for fancy frontends? While it's technically interesting and novel at how these startups solved issues around scaling, or databases, or tenancy, the reality is that a lot of these niche products or services could be handled in-house with a container manager, a Postgres instance, and a mid-level IT person to poke it when things go pear-shaped. The higher per-seat prices of a lot of these services make them ripe for replacement in businesses comfortable with leveraging AI for building solutions, and I expect that number to grow as the tools become more widely available and IT-friendly in terms of security.
Ultimately, the core promise of SaaS to business customers was all the functionality with none of the costs of self-hosting support. Nowadays, many of them have evolved into solutions that are more expensive than self-hosted options, and businesses that have shifted IT into public clouds or container-based systems have realized they can do the same thing for less themselves, at the cost of some UI/UX niceties in the process. Now that we (IT) can crank out integrations with local LLMs with little to no cost, we're finally able to merge datasets into singular pools or services - and I'm not talking about Snowflake or its "big data" ilk so much as just finally getting everything into Salesforce or ServiceNow without having to bring in consultants.
The must-haves and many of the juggernauts will remain - for now. It's the niche players that need to watch their moats.
I've worked in SaaS for most of my career, only recently working at a big corp who is largely the buyer and user of SaaS tools to meet their objectives. From the perspective of the corp business buyer, they want something that works for their needs and they want to buy something instead of build it because the support costs are gnarly. They already have engineers dedicated to the tools they've purchased. Much better to put the risk on someone else they can yell at. And the permissions and access to these tools, reports, data, is usually its own special problem to manage. Building a lot of one-off tools is going to just give IT a huge headache and they will push the org to buy before vibe coding a solution.
If that would be true, expect in the next decade a frantic search for seclusive grey beards, those who haven't given up their rituals and ancient languages.
If your workforce is vibing all day, they will have no capacity for maintenance, because it isn't their code. So the maintenance that happens will be slop and more spaghetti. I am not saying cases like that never existed before, but such companies will face a moment of truth sooner or later.
It seems like 'the market' is making this bet. I'm not deep into financial reports or whatever. But what I'm seeing from the tech side, this is not at all true.
If anything B2B SaaS is growing with AI, and it hasn't even begun, the biggest AI markets right now are personal. The B2B market is up for grabs for sure, 0%-1% of niches have an LLM product right now. But traditional SaaS has a huge advantage, they have reams of industry specific data, and they have the customers, sure they will have competition, but they are the incumbents.
Vibe coding seems to be the iPhone camera to DSLR moment for programming.
- No professional used an iPhone for years. Most don’t today.
- Professional scoffed at it as a toy
- The toy shifted the balance of volume through everyday enablement of amateurs to a degree that professional were right, but now in a severely lopsided terrain.
The value ends up in the most engaged paradigm, rather than the most perfect one.
Just because it's possible to build equivalent software by vibe coding doesn't necessarily mean that companies will stop using SaaS. There are multiple reasons why...
First of all, many big companies pay a fortune to use inferior SaaS solutions instead superior Open Source solutions; possibly because one of their CTO may have received kickbacks or promises of a lucrative job at the SaaS provider as a consequence of this deal. There are a lot of politics going on behind the scenes when it comes to procurement.
Execs at big corporations are often looking for plausible ways to spend investors' money in a way that they can capture some of it for themselves. If they choose open source or they choose cheap vibe coded solutions; there is not much money changing hands. No opportunities for insiders to covertly monetize.
And then there are a lot of security implications to using a complex vibe coded app. The AI won't be able to identify the vulnerability in any decent sized codebase unless you know what you want it to look for.
Maybe the type of SaaS that's akin to stock media (photos, video, music). Just hard enough to do from scratch, but not important enough that it needs to be exceptional in it's field. I've made some money off software like that, and it was nice, but I always knew it couldn't last. Better developers took most of it from me years ago.
I used to be a big advocate for Salesforce in my organization. And it was really great .. allowing us to deliver new functionality without the usual IT procurement bureaucracy.
Now with cloud maturity and Vibe coders who will get better and cheaper, I think it's possible to replace all the features we use on Salesforce at a fraction of the cost of our Salesforce licensing cost.
I didn't realize B2B SaaS products were in freefall like his numbers suggest. I'm not convinced customers are leaving to vibe code their own products but I do believe we're seeing a major shift in the market, pushed by the sudden relative ease of coding. There are a lot of B2B SaaS products which are outdated and I wouldn't be surprised if they're supplanted by much faster competition
Yup it's definitely not because _customers_ are coding solutions, but the trend and motivation seems to come from the fact that customers are realizing there's something else possible except being tied into expensive recurring yearly subscriptions.
I was surprised when I saw the numbers from Bloomberg myself as well!
No it isn’t. Writing the code was never the issue with making software, it was designing it.
You can shit out an app with AI, just like you could with Indian workers. But that doesn’t mean it will work properly or that you’ll be able to maintain it.
And most importantly, it only works for code they could steal from GitHub. It has no idea how to replicate sensitive systems which aren’t publically documented, and those are some of the most valuable contracts.
I disliked how SaaS CEO's were decrying the death of engineers. Their coordinated layoffs over the past years or so was excruciating to watch and experience. Their language was aggressive and inflammatory.
Although the article may also be hyperbolic, I'm not going to comment on reasons why it might be. Instead, I will agree, and think SaaS companies stock performance this year will be proof. Sure, it might not be the collapse that AI doomers are hoping for, but all the FUD they spread over the past few months to years will signal that they're not insulated from it. They made their cake, now they have to eat it too.
Having worked in enterprise B2B SaaS for a long time, almost every feature I built could have been a simple spreadsheet or some emails. So I'm highly skeptical AI is going to change anything.
Enterprise sales basically works like this: A non-technical sales team aggressively promises everything to win a deal to a non-technical procurement or exec team. When the deal is won, the SaaS sales team tells engineers "go build this" regardless of how stupid it is. And the customer tells their employees "you now have to use this SaaS" regardless of whether it makes sense.
"According to IDC’s Future Enterprise Resiliency and Spending Survey from June 2025, 45% of all organizations and 56% of “digital natives” cited data sovereignty and potential cloud changes as their greatest concern for 2026."
https://www.veeam.com/blog/saas-data-sovereignty-microsoft-3...
I came in to work Monday morning, showed it off, and inadvertently triggered a firestorm. Later my boss told me not to do that again because it caused havoc with schedules and such.
So I quit and found a better job. Sometimes the new guy can make a better version themselves over the weekend, not because they’re a supergenius, but because they’re not hampered by 47 teams all trying to get their stamp on the project.
(In before “prime example of overconfidence!”: feel free to doubt. It was a CRUD app with a handful of models on a PostgreSQL backend. They were writing a new Python web framework to serve it, complete with their own ORM and forms library and validation library. Not because the existing ones wouldn’t work, mind you, but more out of not realizing that all these problems were already sufficiently solved for their requirements.)
I imagine you're going to have people trying to automate the whole GTM lifecycle, but eventually the developer that thinks they can bootstrap a one man enterprise without actually doing any kind of social interaction will run into a wall.
Absolutely. But this begs the question that businesses want to also sign up to maintain whatever product they've built, on top of their core business.
"Service" is the word that people seem to be forgetting in SaaS. If you roll you own, all you have is software.
What are the higher-order effects when anyone can do this, and *aaS becomes a market for Lemons?
You will trade initial development budget for advertising budget, trying to position your product in proximity with people who are known quantities.
In the very long term, software will become a commodity, as you mentioned. Process and workflow may move into JIT delivery for the need at hand, in theory the data layer will be comprehensive and clean and the days of clicking around a bunch of stuff to fulfill process needs will move into a lower latency activity like...talking to your agent.
I saw a quote today by Brian Eno(1995) that said: "So the question becomes not whether you can do it or not, because any drudge can do it if they're prepared to sit in front of the computer for a few days; the question then is: of all the things you can now do, which do you choose to do?" and it resonated with me a lot.
This is true when you had to work hard for those ideas. Now you have LLMs. It means more people can sling a lot more crap at walls with fewer barriers to entry.
- nearly every enterprise IT project is a failure anyway
- "can i do this for free?" savvy people write "thing i don't want to pay for github".
- ??? "stupid smelly nerds!" (https://www.reddit.com/r/github/comments/1at9br4)
okay, what was the actual obstacle? it's really simple: in order to use something FREE, you had to touch GITHUB, which meant GIT. and people hate git.
today, with LLMs:
- "can i do this for free?"
- LLM dutifully does the needful, using projects it finds and code it learned from github, and doing the prosaic tasks of launching them for you, whatever that means.
people are getting way up into their heads about what matters, psychosocial and management and whatever bs. chatgpt is FREE. it will fix your problems for FREE. people will put up with ANYTHING for FREE.
the real innovation is laundering all that inaccessible, pre-existing solution space into a format that doesn't require transiting git and giving it away for free.
don't believe me? all of the most profitable SaaS businesses in technology are the packaging, deployment and customization of pre-existing open source free software, whether it is linux, kvm, postgres, etc. they are factories to turn stuff that is inaccessible because it is in GIT, which SUCKS - that is the hard part for people to wrap their minds around, that GIT sucks - into websites you can pay for. now LLMs do that.
A CTOs job isn't to save money but to spend money effectively. Saving money by increasing risk is not neccesarily a prudent move.
A boring one from today was about select, datalist or some custome element (which LLM can prototype) or some JS libs. Good breakdown; links to playgrounds, rough mocks so team could kick tires. It raises points the team had and had counterpoint to help drive decisions.
In some sense having customer able to prototype what they want is a good thing. I did it myself as i was at the time on that side, and having a quick-whip-it tool was a good thing to quickly get some feature that was missing in the major software before that major software would add it (if at all). (And if one remembers for example Crystal Reports - while for "reports", it and the likes were in many senses such quick-whip-it tools for a lot of such customization that was doable by the customer.)
So, after initial aftershock - "Ahhhh, we don't need software companies anymore!" - we'll get to the state with software companies still doing their thing just with a lot of AI as specialization is one of the main thing in modern economy and AI becomes most powerful tools of the trade. (and various AI components themselves will be part of software delivery, like say a very fine-tuned model (hosted or on-premise) specific to the customer and software - Clippy on steroids)
(Of course some companies wouldn't survive the transition just like some companies didn't survive the transitions to client/server, cloud, etc. while some new companies will emerge like Anthropic has today or Borland had at the time)
LLM coding is going to create a cambrian explosion of these tools. It’s going to be very interesting to see the remnants of this wave 30 years down the line.
American capitalism hides the depressing fact that rarely does the best succees.
AAI momentum is parallel to just buying lottery tickets and doing so with the belief that you know the real odds, so one can overwhelm with quantity of tickets.
But you are not limited to only using LLM for coding.
I agree that marketing and sales is as important as product and technology, but they are not necessarily safe.
Even if you can build it in a day B2B SaaS will continue to prosper because they sell peace of mind, reliability and compliance. Not features.
Also due to economy of scale it will always be cheaper to buy something from a vendor that sells it to many clients than to DIY it.
You build a Twitter. Profiles have posts, posts can have images, etc. It's very easy to model the database.
But then how do you make money with it? Now you need to build a separate system for advertising? Or do you want to sell subscriptions? Which means you need to build a separate system to handle payments. This is usually the big one, because when you handle money, what happens if there is a bug and you charge someone without delivering anything? How do you prevent fraud? How do you handle disputes?
Someone posted something illegal. What do you do in this situation? Do you call the police? The FBI? What kind of data do you give the authorities? How much data SHOULD you have been logging in the first place in case something like this happens?
One user doesn't like you so he bought a botnet to DDoS your website. How do you handle this? Are they mass posting? Mass creating accounts? Is it possible for them to exhaust all the usernames possible and then nobody can create an account anymore?
Your website is online but if the server blows up you'll lose all the data in the database. You need backups. You need a system to ensure the backups are actually working. But then some guy from the UK said he wants his posts all deleted. What are you going to do now, because his posts are also in the backups, and you don't want to touch those.
Trolls are posting things against the ToS. Who handles these things? Shadowban? So there needs to be a shadowban system? Moderators? So there needs to be a moderator-only section of the website? Should this be integrated with the main website or not?
Then you look at this horrendous mess of 6 paragraphs and you think back about the first paragraph that already did everything you wanted from Twitter. All these other systems, most of the work, and all you actually wanted was the first paragraph.
What actually happens in a startup is you encounter these problems one at a time as they arise.
Use stripe, cloudflare, whatever the legal equivalent of these stuff, S3.
Yes they might take most potential profit, but you'll also not have a huge payroll.
Prototype maybe. Go to market maybe not so. It's giving false hope. You're just taking more shortcuts with prototyping.
This niche position has had some interesting ramifications for them and for me. They clearly incur a lot of technical debt once their business relies on bespoke software. On the other hand, they own the software and can get an immediate response or new feature or upgrade from me, limited only by my time. And in the end, this ends up saving them time and money. It gives me a permanent and unending flow of work. But if I die, they're pretty screwed.
One reason I don't vibe code things even now, even simple components that could easily be vibe coded, is that I remember and know where everything is, every function or line of code that might be causing issues, because I wrote it myself. I know right away where to look for a query that might be throwing errors after a database upgrade, for instance.
As a manager I assume you would probably not want to go down the road of hiring someone like that, but for companies of a certain size it's an acceptable compromise. However, I wouldn't want to hire someone like that myself unless they were extremely reliable and didn't rely on AI to write any of their code.
Observability is great, dont get me wrong, but past 3 to 6 months of work on the same thing...I can almost beet the observability tools in timetoresolve.
They could just download GIMP or find cheaper alternative, that was always an option
Also: In my life the easier it has gotten to create and run software, the more software people have wanted and the more they have been willing to spend on it.
That's not good enough.
Now that the world has successfully laughed off the "our models are so good they're superintelligent" AGI claims, AI companies and investors have moved on to the "our models are so good they're going to do all your workers' jobs" angle.
The insane investment is for AGI/total job replacement, not developer productivity tools. We are going to be sold pie-in-the-sky claims for a long time until the world wisens up to this rhetoric the same way we did with AGI nonsense.
I really don't think it's not going to become "these prompts are specs" and then you have processes of reviewing implementations. It's one thing when you have randos building stuff and they leave etc. Having stored prompts and managed code that uses tools is a different beast.
Although the proponents of this idea argue that companies will create and (!) maintain many tools in-house.
It’s not so much about running a business, since you don’t sell anything and only have internal customers.
people who write this BS - one never don't understand SAAS fundamentals, they only see what's on the screen and forget the complexity that lives on the backend - forget the costs of running such a SAAS
before it was low-code will kill SAAS, then Visual UI builders, now its A.I
just like it was before that crypto will kill Trad-Fi
people who say these things - have tied their identity into it so they whole-heartedly believe the bullshit they say even though reality doesn't match
to anyone curious read the 10k (Annual Report) of any public SAAS - Salesforce | Workday etc - people should admire these companies for the machines / ecosystem they built - and also learn the good & mistakes to avoid i.e the bad
those annual reports tell you how the revenue generation machine works, how much revenue is expected 2+ / 3+ years from now - their weaknesses | headwinds and also tailwinds - how those companies grow and continue to grow etc
I hear all of the cost savings benefit, but I never see the team factoring in their own time (and others time) needed to set up and maintain these systems reliably long term.
Something IC’s at company often struggle to understand is the reason why companies often prefer to buy managed solutions even when “free” alternatives exist (read: the free alternatives are also expensive, just a different type of cost)
No one, you pull an engineer off the production issue to debug the log server, because you need the log server to debug the production servers.
See the problem?
Edit: to be clear I’m no fan of Datadog and I wish self hosting were an option. I want this path for our company, but at least on our team we just don’t have enough (redundant) expertise to deploy and manage these systems. We’d have to hire an extra FTE.
If you mean you are experiencing two totally unrelated issues at the same time, then I don’t think that’s a reasonable thing to really assign much value to as it’s incredibly unlikely.
Half of $30k/mo trivially pays for an engineer you hire to only manage such a cluster for you and just works an hour a week unless a pager goes off if you truly need that level of peace of mind. If you’re hiring for such a position I have a few rock star level folks who would love such a job.
The hypothetical problems people imagine for on-prem infrastructure get really strange to me. I could come up with the same sort of scenarios for cloud based SaaS infrastructure just as easily.
In my experience the systems/tools needed to debug production issues are often only used when they’re needed.
Which now means you need health and uptime monitoring on your log server since without that, it might break randomly and no one notices until you need it.
> The hypothetical problems people imagine for on-prem infrastructure get really strange to me
It really comes down to the people and whether you have the expertise on the team. And whether the team can realistically manage the system long term. It’s typically safer to spend more money for the managed service.
(It’s a safer decision, not necessarily better)
More importantly, with a third party service I'd be very surprised if both went down at the same time and it wasn't a further upstream issue like AWS. If its my own logging service and it went down during a prod outage, I likely didn't properly isolate my logging service in the first place.
Beyond that, and Im aware this is very much application/company dependent, theres plenty of SaaS companies that offer horrendous or no support no matter what you pay. We used to use splunk for monitoring and logging. Paid a ton of money because we were handling financial data and needed tracibility and reliability. We constantly had to put out fires that were caused by their unreliable platform. It was not a good experience.
Ultimately, we jumped ship to Prometheus. We pay a fraction of the price and spent less time on it.
The problem is all these SaaS companies have cut costs so much that all their support has been reduced to useless offshore at best and at worst a chatbot. They do go down and don't work and often times there's simply nothing you can do. The worst offenders will seize upon the moment and force you to upgrade a support plan before they will even talk to you, even if the issue is their own making.
Unless you're a huge customer and already paying them tons of money, expect to receive no support. Your only line of defense if something happens and you're not a whale is that some whale is upset and they actually have their people working on the problem. If you're a small company, startup, or even mid-size, good luck on getting them to care. You'll probably be sent a survey when you don't renew and may eventually be a quotient in their risk calculus at some point in the distant future, but only if you represent a meaningful mass of customers they lost.
How do you calculate the time spent on an internal tool like this, actually? (I’ve never been in management). Realistically your team inevitably will have some downtime, maybe some internal tool maintenance can be fit in there? I mean it obviously isn’t fully “free” but is also shouldn’t be “billed” at their full salary, right?
What? My team wouldn't have any downtime even if we had 10x the amount of people.
If you work at a company where you have times where you don't have work to do, you should polish your resume because it means the company will go under.
I think most software companies need to be doing less. Deleting code, refining, and making their product genuinely useful as opposed to "able to technically contort to client needs".
Using an open source self hosted solution should be the industry standard, encouraged position, by default. Our industry does not gain overall from using DataDog but only from truly open source solutions that utilized AGPL licenses that allows everyone to move forward together + share lessons together + contribute together toward a common goal of better observability.
Why are we acting like it's hard to set up? This isn't the 1990s, it's 2026. Tooling has gotten quite good over the last decade.
Also corporations stupidly spend money all the time, they over spend too. I recently left a company that was paying SalesForce $10mil a year in licenses when only 8 people in the entire 3,000 person company was using it. I doubt that was the only single instance across our industry too. There is a massive amount of waste and graft in enterprise sales.
I honestly doubt it if you replaced grafana for 10,000 DataDog customers they would notice the difference.
Because the current generation of “full stack” engineers are great at spinning up react apps, but struggle with infrastructure and systems management. It’s really not any more complicated than that.
On a typical 8 person engineering team, maybe 1 or 2 people will know how to deploy anything to the cloud if you’re lucky.
The expertise just isn’t there at most companies.
When management realise that the vibe coded projects are not maintainable, SAAS will be as popular as ever
Paper forms have some amazing features that software really can't compete with. And also some significant downsides that software fixes.
However, they dont have a choice. The sentiment of shareholders is that they want their cash (yes it is their cash that managers re-invest on their behalf) to be invested in AI-related projects.
So...... you get what you get, and investors will get what they deserve. But they will still blame the management in the end ;)
They are not stupid, far from it, most are (very) high functioning sociopaths. And out and up there its everybody for themselves first.
But I think it’s plausible that SaaS companies will be easier to start with AI coding, and with lower costs (thanks to AI) they will be able to get into the black with a smaller addressable market. So each one can have a different mix of fewer features, for different segments of customers, at lower prices.
The result would be a loss of pricing power by the incumbent do-everything big guys: no more baked-in 10% annual increases. Which is still a pretty big change in their economics. And therefore valuations.
what if the expensive SAAS offering is just as vibe coded and poor quality as what a junior offers?
If your senior developers can slap together something better than an expensive SAAS offering you want them directing that energy at your core products/services rather than supporting tools.
And the people deciding to buy the expensive SAAS tools are often not the people using them, and typically don't care too much about how crappy the tool may or may not be for doing the job it's advertising as doing.
A typical SaaS customer will use many pieces of software (we mostly call them SaaS now) across its various functions: HR, accounting, CRM, etc. Each one of those will have access to the same pool of senior devs and AI tools, but they will pour more resources into each area and theoretically deliver better software.
The bigger issue here is the economics of the C-suite have not changed here. Assume a 100 CPG company uses 10-20 SaaS apps. Salesforce might be $100k/year or whatever. 1Password is $10k. Asana $10k. etc. They add up, but on the other hand it is not productive to task a $150k employee with rebuilding a $10k tool. And even with AI, it would take a lot of effort to make something that will satisfy a team accustomed to any modern SaaS tool like Salesforce or Atlassian. (Engineers will not even move off Github, and it's literally built on free software.)
That's before I get to sensitive areas. Do you want to use a vibe-coded accounting system? Inventory system? Payroll? You can lose money, employees, and customer perception very rapidly due to some bugs. Who wants to be responsible for all their employee passwords are compromised because they wanted to save $800/mo?
Then, the gains from cutting SaaS are capped. You can only cut your SaaS spend to zero. On the other hand, if you have those engineers you can point them at niche problems in your business niche (which you know better than anyone) and create conditions for your business to grow faster. The returns from this are uncapped.
TL;DR; it's generally not a great idea to build in-house unless your requirements are essentially bespoke.
The gains is generally more seen outside of monetary as these SaaS solutions where holding us back for achieving our goals and improving our services to our customers. As in the end of the day our customers do not care if "insert SaaS" is having issues, it will always be our problem to own.
The second question is a valid one, and I think it will somewhat raise the bar of what successful SAAS vendors will have to offer in coming years
At the end of the day these decisions are all series of trade-offs, and the trick is understanding your requirements and capabilities well enough to make the right trade-offs.
Somehow that has not happened yet in 2026.
AI could change that for good.
25 years here. You can absolutely do this. Most software is orders of magnitude more complex than it needs to be.
The junior programmer you are talking about who wanted to rewrite it in a weekend tends to come back with a working program, not empty handed.
1. That's not a great use of the developer's time, and
2. anything in-house increases our training and support costs
2. Company uses it, maybe even starts to rely on it for important business operations, and for a time the employee supports that app.
3. Bugs creep in, feature request pile up.
4. Employee either leaves the company or moves on to another project.
5. Pain
Doing this today, in production, with full trust, is clearly not wise, but the writing is clearly on the wall that this is going to be the norm more and more over the coming years. The times they are a-changin.
And "it will be the norm" is a clear corollary of, absent any significant and unforeseen roadblock, even with the current highly imperfect agentic sausage-making factories we have today, what capabilities will be in like 6-12 months time.
The key here is that the moving target will _never_ be "what can 1-2 people vibe code without any expectation of being the best at what it does?"
(Also: training people on bespoke tools takes much longer than training on configurations of standard tools. Imagine if you had to learn a new source control system at every job, like in the '80s.)
3. Bugs creep in, feature request pile up.
4. Employee continue in the company and request help (or the managers see the need):
4.1 They hire more, but if all are vibe-coders too
4.1.1 The product gets more complicated (no more complex, that good developers can manage!)
4.1.2 Bugs creep in, feature request pile up.
4.1.3 People start to get desperate, not worries! now:
4.1.3.1 Somebody vibe-code a new alternative that solves the immediate problem
4.1.3.2 Bugs creep in, feature request pile up.
4.1.3.3 Needs to sync with the other tools
4.1.3.3.1 Somebody vibe-code the sync that solves the immediate problem
(the saga continue)
In parallel:
4.2 Eventually is obvious that need external help
THEN:
4.2.1 They ask for consultors for build tool, of course, from a company that has embraced the IA!
4.2.2 They build new shinny tool!
4.2.3 Bugs creep in, feature request pile up.
4.2.4 Needs to sync with the other tools ....
AND:
4.3.1 They ask for consultors, to teach them what to do, of course, from a company that has embraced the IA!
4.3.2 New shinny theory of how do the thing with IA is now being implemented!
4.3.3 It require a rewrite of not only past solutions but, a change of how the company behave!
4.3.3.1 Needs to sync with the other tools .......
4.3.4 And it spark beautiful office/political debates around some philosophical whatever that also trigger changes in the structure, hiring or whatever, alienating the people that has been working there, that after months, has started getting the handle of it!
4.3.5 Employees either leaves the company or moves on to another project.
4.3.6 New employees arrive, with a wild new IA tool and different vibes that vibe-coding!
... the saga continues
5. Is now clear that it need to buy a product form a well stablished software provider
5.1 And all of them are now in the IA craze!
.............
lol
Well, with claude, you can download the code, tell it to implement LDAP authentication, and smile all the way to the bank. And for said fortune 500 company, employing an employee to spend 100% of their time maintaining the app at 10k per month is a 15k savings! And because it _doesn't really take 100% of their time_ it's really only like $500 per month? And to be completely honest, how man times did you get Jira to fast-track your issue?
I get it however, the manager angle. It's still a distraction. But the article being referenced still shows revenue going down.
There's definitely a lot of cope in here, mostly because SaaS is keeping them employed... be ready, the crush is "almosthere".
If the cost to the company is $10K a month, the developer's topline salary is $60K, which is going to be a hard hire to make.
And, again, if they can integrate LDAP with an existing software package at that price point, I want them doing something more valuable than that.
But then keep in mind one who built the replacement will become the owner of an application that business doesn’t want to pay for and that person will be cost center for the company.
That person better get marketing and negotiating skills that Atlassian has on board because that person will be responsible for the app and will not be getting salary increases for working on something that is not core business of the company.
Even if you can make LLM to do the app for you.
1) Uptime (though this could be partially alleviated by retries)
and most of all:
2) "Trust"/"Spam score"
It's the main reason to use Sendgrid, AWS, Google, etc. Their "value" is not the email service, it's that their SMTP servers are trusted.
If tomorrow I can just send from localhost instead of going through Google it's fine for me, but in reality, my emails won't arrive due to these filters.
See jwz's struggles with hosting his own email. (Not linking to his blog here with HN as the referrer...)
With email, the 800 lb gorillas won, and in the end it didn't even solve the spam problem.
But yes, the “trust / spam score” is a legit challenge. If only device manufacturers were held liable for security flaws, but we sadly don’t live in that timeline.
Even if your "self hosting" is renting a $5/month VPS, some spam lists (e.g. UCEPROTECT) proactively mark any IP ranges owned by consumer ISPs and VPS hosting as potential spam. I figured paying fastmail $30/yr was worth never having to worry about it.
e.g. you spend a lot of money to show that you are a legitimate entity or you pay less money to rent something that shows you are connected to said entity.
I had quite a bit of success with it and of course, DKIM and the other measures you can take some years back.
For personal emails, I don't think I had any which fed straight into spam.
Maintenance is probably my number one reason for giving up on projects where I'm responsible for feeding the pet.
(Back then email still worked from residential IP addresses, and wasn't blocked by default)
No amount of LLM usage is going to change them into full stack vibe coders who moonlight as sysadmins. I just don't see it happening.
Not until, that is, a new generation, that has grown accustomed to the tech, takes over.
Until then the current SMBs will for the most part fulfill their IT needs from SaaS businesses (of which I think there will be more due to LLMs lowering the barrier for those of us who feel confident in our coding and sysadmin skills already).
These are real risks to these companies.
Your in-house teams can build replacements, it's just a matter of headcount. With Claude, you can build it and staff it and have time left over. Then your investment pays dividends instead of being a subscription straight jacket you have to keep renting.
I think there's an even faster middle ground: open source AI-assisted replacements for SaaS are probably coming. Some of these companies might offer managed versions, which will speed up adoption.
Lets take Figma as an example, Imagine you have 1000 employees, 300 of them need Figma, so you are paying 120k per year in Figma licenses. You can afford 1 employee working on your own internal Figma. you are paying the same but getting 100x worst experience, unless your 1 employee with CC can somehow find and copy important parts of Figma on his own, deploy and keep it running through the year without issues, which sounds ludicrous.
If you have less than 1000 employees it wouldnt even make sense to have 1 employee doing Figma
I mean in an example that almost happened... "you are paying 120k per year in Figma licenses, Adobe buys it, you are paying 500k per year in Figma licenses"
At least up until the point of vibe coding it was still worth the SaaS provider charging at least as much if not slightly more than you doing it yourself because most businesses weren't going to anyway.
If you need rich outputs, there are tools for that now too.
Let me put it another way - would you want to be Adobe or Figma right now?
And applied to the original point, would you feel comfortable being a SaaS company right now?
So you end up spending the money elsewhere? with exploratory design you can easily spend 10k a month on these models as a company of 1000, thus completely losing any monetary savings. Anyway you look at it, Saas worked because costs were spread out and low enough to not optimize it too much.
I mean if we want recent examples just look at tailwindui since it's technically a SaaS.
This is a terrible example. Show me someone ripping out their SAP ERP or SalesForce CRM system where they're paying $100k+ for a vibe coded alternative and I'll believe this overall sentiment.
Just because it cannot be done today, doesn't mean there is not a real appetite in large enterprises to do exactly this.
Without naming names, I know of at least one public company with a real hunger for exactly this eventuality.
They are just hearing the promise that AI will allow them to build custom software that perfectly melds to their needs in no time at all, and think it sounds great.
I suspect the early adopters who go this route are going to be in for a rude awakening that AI hasn’t actually solved a lot of hard problems in custom software development.
Of course, once AGI is available (if it is ever) everything changes. But for now someone needs to have the deep expertise.
I cannot imagine an SMB or fortune 500 ripping out Salesforce or SAP. However, I can see a point-tool going away (e.g., those $50/mo contracts which do something tiny like connect one tool to another.)
That means to keep making money they need keep selling new people. According to them, their only marketing channel was the Tailwind docs, AI made it so not nearly as many people needed to visit the tailwind docs.
If they had gone with the subscription SaaS model, they'd probably be a little better off, as they would have still had revenue coming in from their existing users.
Now attempt the same with Zoom, I suspect vibe coding will fall down on a project that complex to fit the mental model of a single engineer maintained a widely used tool
It used to be that your new b2b product has to try and displace a spreadsheet. Now it has to displace an agent.
How is it in any way B2B? At most B2C + freelancers / individuals / really small SME.
It didn't have any clues a med/large B2B would look for e.g. SSO, SOC2 and other security measures. It doesn't target reusability that I as a B would want. The provided blocks never work together. There aren't reusable components.
Tailwind UI or now Tailwind Plus is more like vibe coding pre-AI.
B2B SaaS is a VULN. They get bought out, raise prices, fail. And then you have extremely large amounts of unplanned spend and engineering to get around them.
I remember when we replaced the feature flags and metrics dashboards with SignalFX and LaunchDarkly. Both of those went sour. SignalFx got bought out and quadrupled their insane prices. LaunchDarkly promised the moon, but their product worked worse than our in-house system and we spent nearly a year with a couple of dedicated headcount engineering workarounds.
Atlassian, you name it - it's all got to go.
I just wish I could include AWS in this list. Compute and infra needs to be as generic as water.
If you're working at SaaS, find an exit. AI is coming for you. Now's a great time to work on the AI replacement of your product.
You get the same shocks with internal teams, just from other causes. And you have to manage them.
I'm sure you've only ever seen brilliant software created by internal software teams?
I have no idea how you are spending "large amounts" of unplanned spend on Saas products. Every company I worked for had Saas subscription costs being under 1% of capex. Unless you add AWS, which is actually "large amounts" but good luck vibe coding that.
We had an in-house system that worked, but it was a two pizza team split between time series and logging. "Internal weirdware" got thrown around a lot, so we outsourced to SignalFx for a few years. It was bumpy. I liked our in-house system better, and I didn't build it.
Splunk then buys SignalFx and immediately multiplies the pricing at a conveniently timed contract renewal. Suddenly every team in the company has to plan an emergency migration.
Your supply chain is messed up. You need sign longer contracts with price guarantees.
i literally cannot understand why people keep repeating that non tech companies will build their own software, thats not the bear case for saas
This hard part when you're doing in house stuff is getting a good spec, ongoing support, and long term maintenance.
I've gone trough development of a module with a stakeholder, got a whole spec, confirmed it, coded it, launched it, and was then told it didn't work at all like what they needed. It was literally what they told me... I've said 'yes we can make that report, what specific fields do you need' and gotten blank stares.
Even if you're lucky and the original stakeholder and the code are on the same page, as soon as you get a coworkers 'wouldnt it be nice if...' you're going to have a bad day if it's hand coded, vibecoded, or outsourced...
This has always been the problem, it's why no-code never _really_ worked, even if the tech was perfectly functional.
I’ve talked to many non engineering managers that love Jira, love the reports, the way they can see work flows, do intake etc.
Engineers and even alot of engineering managers loathe it, largely, but I think we’re the collective afterthought
Also, FWIW, a lot of pain people have with Jira is self inflicted by the people who setup the instance and how it works, vs vanilla Jira
I only mean this all to be fair to Atlassian, that not all issues with Jira derive from anything they’re doing specifically
(this is even granting that AI is a 10x speedup for developers, which I don't agree with and no-one has shown)
This is pretty much what blacksmith.sh does -- GitHub Actions but it's on faster and cheaper hardware. I'm sure they spend non-trivial amounts on marketing but "X but much cheaper" doesn't sound like a difficult sale.
(edit) And the design, sadly, can be as simple as "rip-off bigger competitor" -- of course if one day you are the big competitor because you "won" in the market, you'll need to invest in design, but by then I guess you'll have the money?
Not trying to hype AI, but we are in an interesting transitional period.
related: i'm thinking these vibe coded solutions are revealing to everyone how important and under appreciated good UX is when it comes to implicit education of any given thing. Like given this complex process, the UX is holding your hand while educating you through a workflow. this stuff is part of software engineering yet it isn't "code".
2. These anecdotes are about tech startups spend, not your <insert average manufacturing business>. Nor or they grounded in data that says "we interviewed 150 SMB companies and 40% of them have cancelled their SaaS subscriptions and replaced it with vibe coded tools"
3. "Analysts are writing notes titled “No Reasons to Own” software stocks." - there is just one analyst saying this: https://finance.yahoo.com/news/no-reasons-own-software-stock...
4. Most of these SaaS tech stocks have been trading at all time highs...this smells of "explain something very complex with a simple anecdote"
EDIT: Oh lol, the author has a vibe coding SaaS offering...there ya go.
- If our customers vibe coded better integration points for us, it probably improves our overall value to our customers.
- The software industry, especially startups, is such an insignificant portion of the market, its not really worth worrying about. But, I can tell you from experience, that even large software companies don't want their own developers spending much time on accounting, ERP, or HRIS systems and they "outsource" this to SaaS companies.
Also many customers of SaaS have little to zero engineering staff, they are in construction, resturaunts, law offices ect. These takes are so assanine.
So many takes on here are so lazy and simpleton that when you go a few levels deeper all the flaws get exposed.
sigh.
I have a strong feeling the future's going to look like this:
Company vibe codes to replace a SaaS.
Little do they know this creates a time bomb: fragile systems where fundamental architectural defects are papered over by humans who knew the underlying dynamics but didn't articulate them well enough during the initial "vibe-architecture," so they're forced to patching the "impedance mismatches" with data entry or with even more vibe coding.
Those humans are eventually laid off, because of course they are. Data quality rapidly deteriorates. Operational mishaps deteriorate relationships with human counterparties. Defects begin to cost thousands to millions.
Suddenly, there's demand: not for SaaS, but for actual service businesses. Consultancies that can parachute in, do actual domain-driven design, and un-vibe that code. They do have a stronger-than-ever pool of out-of-work engineers (many from the failed SaaS companies).
The SaaS companies that survive understand that the first S no longer stands for Software; it stands for Solutions.
When you sell a service, it's opaque, customer don't really care how it is produced. They want things done for them.
AI isn't killing SaaS, it's shifting it to second S.
Customers don't care how the service is implemented, they care about it's quality, availability, price, etc.
Service providers do care about the first S, software makes servicing so much more scalable. You define the service once and then enable it to happen again and again.
Are you sure? Companies still use SharePoint Online, Teams etc.
The F in SharePoint stands for fast
Customers don't care if Sharepoint uses LLM, they just want to share ideas, files, reports, pages, etc. If LLM makes it easier, great! If some other product makes it easier, great!
It's not about the product it's about the results.
A given company or enterprise does not have to vibe code all this, they just need to make the 10 features with the SLA they actually care about, directly driven off the systems they care about integrating with. And that new, tight, piece of software ends up being much more fit for purpose with full control of new features given to company deploying it. While this was always the case (buy vs build), AI changes the CapEx/OpEX for the build case.
I'm pretty sure every developer who has dealt with janky workflows in products like Jira has planned out their own version that fits like a glove, "if only I had more time".
AI will be used to do “excel better” more than “replace a managed, compliant, feature-rich-carefully-engineered, service”.
At the same time, I have no idea what the cost of LLMs usage will be in the future. So I'm working to ensure the architecture stays clean and maintainable for humans in case this kind of tooling becomes untenable.
If you are selling SaaS consider that a vibe-coding customer is validating your feature roadmap with their own time and sweat. It's actually a very positive signal because it demonstrates how badly that product is needed. If they could vibe code a "good enough" version of something to get themselves unstuck for a week, you should be able to iterate on those features and build something even better in short order, except deployed securely and professionally.
Everyone's going to talk about how cool their custom vibe-coded CRM is until they get stuck in a failed migration.
Failed/partial/expensive migrations is the name of the game with SaaS as well. Lock-in is the bottom line.
Migrations become much less scary when you truly own your data and can express it in any format you like. SaaS will keep sticking around, especially those that act like white-hat ransomware.
That maybe doable in your 10-people startup, Namanyay. Try doing it in a larger organisation with layers upon layers of firewalls, databases, authentication systems and not the least importantly - management. Not to mention the vastly different audience, both in size and interest. Your own experience is not the experience of everyone else.
I guess they mean BI, but for a company of any scale, they aren't paying for a chart, they're paying for a permissions system, query caching, a modeling layer, scheduling, export to excel, etc.
Stand alone BI tools are going to struggle, but not because they can easily be vibe coded. It'll be because data platforms have BI built-in. Snowflake is starting down this direction and we're (https://www.definite.app/) trying to beat them to it.
Wrong take. You don't need to build something better, you only need something good enough that matches what you actually need. Whether you build it or not and ditch the SaaS is more of an economic calculus.
Also, this isn't much about ditching the likes of Jira not even mentioning open source jira clones exists from decades.
This is more of ditching the kind of extremely-expensive-license that traps your own company and raises the price 5/10% every year. Like industrial ERP or CRM products that also require dedicated developers anyway and you spend hundreds of thousands if not millions for them. Very common, e.g. for inventory or warehouse management.
For this kind of software, and more, it makes sense to consider in-housing, especially when building prototypes with a handful of capable developers with AI can let you experiment.
I think that in the next decade the SaaS that will survive will be the evergreen office suite/teams, because you just won't get people out of powerpoint/excel/outlook, and it's cheap enough and products for which the moat is mostly tied to bureaucratic/legal issues (e.g. payrolls) and you just can't keep up with it.
The sheer volume of data, the need for real time consistency in store locations, yada yada means that bad early decisions bite hard down the road.
Lots of drudge work can be assisted by AI, especially if you need to do things like in ingest excel sheets or spit out reports, but I would run far away from anything vibe coded as hard as possible.
One of my clients spends 500k+ on XXX licensing per year (for a 200M revenue company that's not peanuts), and on top of that has to employ 12 full time XXX developers (that command high figures just for their expertise on that software while providing very little productivity) and every single feature takes months to develop anyway. Talking about stuff like adding few fields to a csv output.
So the total cost of XXX is in the 2M/year range, and it keeps ballooning.
My (4 men) team already takes care of the entire warehouse management process except inventory, the only thing that XXX provides, we literally handle everything: picking, manufacturing, packaging, shipping phase and many others.
In any case, nobody has mentioned vibe coding.
I stated that a handful of good engineers with the aid of AI in a couple of months can provide a working prototype to evaluate. In our case it's about extending our software that already does everything, except inventory management.
When you spend 2M/year on a software (1% of your revenue), growing every year by 100/150k it makes sense to experiment building a solution in house.
Spending tons of money to get a janky, unreliable system of record, or finding out too late it is missing crucial auditing capabilities, or that it has Big Money bugs, on the other hand, is far worse, especially if you have investors asking what the hell you were thinking.
Your point about users not knowing what they wanted until after the fact is also painfully true. The hardest part about these systems is the people most likely to buy are the ones who have been doing it with a lot of human processes for years. Buying a SaaS or other third party product means having leverage to force them to change to more standard practices. Building in-house means that everyone will fight to high hell to make sure that their special snowflake way of doing things is accounted for and you end up in a worse spot as a result.
There's multiple people highly involved into maintaining the status quo which do everything to take any responsibility out of them.
I rather use Excel. It's likely More robust and safer than the vibe coded app that could trigger data loss / incorrectness / issues any time.
Simple CRUD app sure, but we're nowhere near being able to vibe code even a relatively low-complexity enterprise SaaS product.
If it's got customer data in it and/or you're making important business decisions based on it, you really need your system to be accurate and secure. My experience is the people who procure enterprise software know this and tend to care a lot about it. They often have legal and contractual obligations around that.
In the 1990s there were people who thought OOP with point and click tools like FoxPro and Delphi would make it so easy to create software that everything could be built in-house without expert programmers. The invention of SQL was supposed to eliminate roles like Report Writer and Data Analyst because now business people could just write their own queries "in English" and get back answers.
And yet, precisely that happened in the end, just not with the tools envisioned. Excel, VBA and, where you had one knowledgeable employee, MS Access makes for incredibly powerful and incredibly hard to maintain "shadow IT" - and made even more difficult when someone sneaked in a password, because that takes a bit of an effort to remove [1], knowledge that is easy for us today to find, but not when I was young.
Also, back in the IE6 era, there was a lot of point-and-click created web interfaces... just that it wasn't HTML5 or even HTML. It was an <object> tag loading some ActiveX written by some intern in VB6, or Java, or Flash. I sort of miss that era but also, it was a damn security nightmare. Flash with its constant stream of security vulnerabilities was ripe for exploits, but at least it didn't run native code with full user privileges by design. I'm not kidding, theoretically you could go and import/use functions from any system DLL up to and including Kernel32. OLE/OCX, ActiveX... a design way ahead of its time.
[1] https://stackoverflow.com/questions/272503/removing-the-pass...
The new tools didn't shrink demand for COTS enterprise software - it grew massively since the 90s!
Vibe coding might not be supplanting all SaaS solutions but it's definitely shaking out "last-gen" solutions.
A lot of companies have been too smart for that, and a lot of SaaS offerings are too small to be truly entrenched. Arguably the investment horizon is too short (IBM took decades getting to that point).
The only real vendors who managed to become the next IBM are the cloud providers.
Are they not able to just engage AI to solve those problems now? E.g. this morning I saw an app that did something interesting to me for $20 a month. 20 minutes in Gemini and I had a functional app that replicated the behavior. SaaS are more complex but give me a small team and a couple months and we could replicate most any of them.
Financial performance e.g. revenue is what counts right now as any hard-evidence.
I do think like this HN post (https://news.ycombinator.com/item?id=46847690) is a good example of where a custom more domain specific solution makes a lot more sense that dropping in an off-the-shelf ERP. Still though, I think the bakery would prefer to buy the bakery-ERP than build it but vibecoding does reduce the barrier to entry so we might see more competition and share taking from incumbents by domain-specialized new entrants.
Most companies are not going to replace stable SaaS with a pile of AI-generated internal tools. They don’t want the maintenance or the risk.
If there’s a real B2B game changer, it’s Microsoft.
The day Excel gets a serious, domain-aware AI that can actually model workflows, clean data, and automate logic properly, half of these “build vs buy” debates disappear. People will just solve problems where they already work.
Excel has always been the real business platform. AI will just double down on that, not kill SaaS.
Best they can do is more adware in windows. Sorry.
Let's put an example an exception-tracking SaaS (Sentry, Rollbar). How do the economics of paying a few hundred bucks per month compare vs. allocating engineering resources to an in-house tracker? Think development time, infra investment, tokens, iteration, uptime, etc. And the opportunity cost of focusing on your original business instead.
One would quickly find out that the domain being replaced is far more complex and data-intensive than estimated.
That is because AI is living in our world, instead of the opposite where we live in AI's world.
Case in point: maybe the AI hallucinated a class method that never existed in our world yet, but perhaps in the AI led processes and workflows it would be written to better fit into the smooth gradient decent those same top parameters' scores.
Anecdata sample size of one, but this is not my experience at all. My business has only continued to grow over the past couple years, and I don't think I've had a single customer mention AI to me at all (over the phone or email).
For Salesforce-like CRM, there's Twenty[0], a good-enough alternative. For Shopify-style e-commerce, Medusa[1] is a headless commerce platform.
The real power comes from using AI to study how these projects implement specific features (payments, inventory, customer dashboards, etc.) and adapt them to your stack. AI excels at finding the "seams" (those connection points where a feature ties into the tech stack) and grasping the full implementation. The trick is knowing precisely where the feature lives in the code (files, functions, modules), because AIs often miss scattered pieces otherwise. That's what I'm building at opensource.builders[2]: turning OSS repos into a modular cookbook with structured "skills" that point to exact details for reliable remixing and porting.
SaaS companies are forever beholden to raising their market cap, even in solved spaces like cart, payment processing, and CRMs. Most businesses run on CRUD apps anyway, and if your core app exposes an API, you can build any customization you need on top of it. People here discounting how valuable it is for a business to have the software that runs their business on a tech stack they understand and something they truly own.
[0] https://github.com/twentyhq/twenty
[1] https://github.com/medusajs/medusa
[2] https://opensource.builders
Reading through the article:
> They were paying $30,000 to a popular tool3
Couple things we needed to understand here:
If it's a technology company of > 1000 employees - then $30,000 month doesn't even get Finance's attention. And there is next to zero chance that anyone is going to vibe-code, deploy, support and run anything in a 1000 person+ company for $30,000 a month. SaaS wins hands down.Any product/service that people care about comes with a pager rotation - which is 6-7 employees making > $200k/year. If you can offload that responsibility to a SaaS for < $1mmm/year - done deal.
There are many companies that operate like this all over the world. Outside of the hyper-growth tech VC world cutting costs is a very real target and given how cheap Devs are outside of America it's almost always worth it.
I can't imagine it would ever be worth, under any scenario, trying to write/build/support any $25/seat SaaS software for any company I've worked at in 25+ years.
Another thing to keep in mind - very little of the cost of a SaaS license is the time it takes to build the software. Security, Support, Maintenance, Administration, backups/restores, testing/auditing said backups/restores, etc, etc.. and then x-training new SREs on how to support/manage this software, ...
Even as someone who spend 10+ hours a day churning out endless LLM applications, products, architectures from my myriad of Cursor/Codex/CC interfaces and agents - I'm dubious that LLMs will ever eat into SaaS revenue.
I'm sure (lots of) people will try - and then 1-2 years in someone will look at the pain, and just pull the ripcord.
Hopefully wannabe senior leadership will try and take advantage of AI without taking advantage of developers, because most of us just want to write code and build something great.
Here's my general mantra regarding AI: NEVER take suggestions about AI from people who have a vested interest in it. CEOs of companies that train and offer LLMs, Authors of Books about LLMs and AI in general, etc.
This may come off as an unpopular opinion, but this is how I felt after listening to Steve Yegge recently. He has a new book about Vibe coding and he goes on in the interview/podcast to say that the best programmers he knows in the world (the ones better than him and maybe even the top world class programmers), would be equivalent to those of interns in an year, if they don't start vibe coding or use AI. I respect the guy, but damn, this is just peak delusion. He didn't even say it as a hyperbole, he meant it.
According to popular CEOs of companies training LLMs, 2024 was supposed to be the year that would eliminate the need for Junior and mid-level engineers. 2025 happened. Now, we are in 2026.
So yeah, I'm never taking advice about AI from these people ever again.
I get where you're coming from, but let's say you're talking to a HVAC installer, and he recommends you a system to get - I'm sure there's financial self-interest on his part, but I do like to think that he knows quite a bit about what he does, and believes what he's selling is genuinely good stuff (and has reason to), even if he oversells it a bit.
The difference is, in other sectors, there's no fear-mongering. If you don't use their HVAC, it's fine. Your job isn't getting replaced. The air you breathe in your home isn't going to be fully polluted. You have other options.
With AI though, there's no middle ground. You either use their tool and become extremely successful (so much that you don't know what to do with that much success) or you're out of a job and become obsolete in like the next 3 seconds.
Yes, a lot.
> Who's taking care of it?
It's not hard.
We wouldn't do it for tools that are purpose made and have sane pricing in the market place. We do it for stuff that would traditionally go on a 'platform' like Salesforce or something that requires a lot of customization to begin with. It's so much easier to just roll your own than even just going through the procurement process of those kinds of tools much less the integration and change process (hiring consultants, etc). I'm not hands on with it, but I know our small group of AI are helping us eliminate $5m recurring annual spend this year and that's directly impacting the topic article. I won't be surprised if at some point we replace our more sticky ERP software or use this leverage to negotiate prices that are sane. Businesses have been gouged by enterprise software long enough.
No names, but my company is service companies (mostly residential) - many logos with different verticals (think electric, hvac, etc). Having a SaaS CRM that served all our brands needs was always a challenge and made aggregating anything difficult (we basically were running multiple CRMs)
We were using dozens of SaaS tools per logo - and just going through them all and figuring out what features we need/want and rolling them into the larger system. We've also built handful of things for internal operations, finance, etc
The other issue is valuations - B2B SaaS stocks have never been rooted in reality, and the 100+ P/E ratios were always going to come down to earth at some point.
As expensive as some of these software seem in terms of cost per seat, most of the subscription contract rarely exceed a few hundred thousand / year if even $1mm, which is drop in a bucket for many companies. (vs running on-prem servers, having staff to support them)
You'd think Atlassian would be printing money given everybody under the sun is using them, but they only make $5B in annual revenue.
I've worked at fortune 50 companies for a while and custom enterprise software is still alive and well for things that are too business specific to buy off the product for. But they're not going to be in a rush to create their own Workday, Salesforce, Jira, Figma, SAP, etc.
Probably one way SaaS companies will adapt is to break up their offerings into more modular low cost components. While many customers will end up paying less, the addressable market will probably increase because of the new low cost options.
To a degree but most enterprise focused software usually has differential pricing. Often that pricing isn't public so different companies get different quotes.
I’ve seen many startups recently were it was like “guys I could vibe code your ‘product’ in the afternoon.” Yes someone needs to look after it etc, but the bar on where companies buy vs build is getting much, much higher.
(Insert rant from dev teams about the code sucks, who will maintain it, etc). Yes all valid points, but things are changing regardless of if folks like it or not.
What's changing is that agents + APIs are becoming a better delivery mechanism for many workflows than a UI you manually operate. A company paying $50k/year for a marketing analytics dashboard doesn't actually want a dashboard — they want answers about what's working. An LLM with API access to their data sources often delivers that faster than navigating someone else's opinionated interface.
The SaaS most at risk isn't infrastructure (Stripe, Twilio) or systems of record (Salesforce, Workday). It's the 'pretty UI on top of data you already own' tier — analytics, reporting, simple automation, basic CRM. That's where the compression happens. The products that survive will be the ones that become the system of record, or that offer value AI genuinely can't replicate (regulatory compliance, deep integrations with legacy systems, etc).
People stopped smoking immediately, and cigarette sales tanked. The cigarette companies laughed (with all the phlegm in their throats and lungs) and sales came back 1-2 weeks later.
I suspect in a few months or a year companies with vibe-coded replacements for SaS products will find they need to go back: But, just like how many less people smoke today than in the past, the writing is clearly on the wall. At some point someone will figure out how to replace SaS with AI; it's just going to take a lot longer than many think.
I'd be very surprised if devs were fully replaced by AI in less than 10 years.
Smoking survived.
At least 2 have 100B market caps.
Most people who've been in a business SaaS environment know that writing the software is relatively the easy part aside from in very difficult technical domains. The sales cycle + renewals and solution engineering for businesses is the majority of the work, and that's going nowhere.
A middle 100-500 heads firm don't need enterprise level SaaS, a vibe coded website will suit them better.
Fundamentally, those workflow/orchestration SaaS needs to answer the question why people should pay you premium while only getting 80% where they want to be.
- A company vibe codes their own app to replace a SaaS. Great when they only wanted a small chunk of the functionality. - Startups benefitting from AI coding are copying mature SaaS companies and competing on price. - Mature SaaS companies are branching out into each others domains. Notion is doing email. Canva is doing an office suite.
then the sell-off is attributed to AI because it is far easier to say to shareholders hey we know our company lost half its value but thats actually a good thing because we need to pivot to AI and we're going to spend all our free cash flow on AI software and our stock should totally be trading at 300x earnings again in a few weeks. if you can last another few months as CEO and the fed cuts rates you'll be able to ride it out
of course, the tide is going out on a few dogs. I don't think adobe will become dominant again
you see the same trend with mass-layoffs being blamed on AI. easy way to sell bad news to the shareholders
in 2026, AI and JE are the two reasons for absolutely everything
- Hey Claude, what is the project in XXXXX/ about and how does it work ? What should be improved there ?
Charging hundreds of thousands if not millions per year for very basic functionality is what is "killing" b2b SaaS.
Unless you consider customer acquisition cost. Not considering cost of sales is one of the big mistakes software developer entrepreneurs make.
But, not sure which successful SaaS companies just stopped shipping any updates to the product, never talked to their customers and never added any new features to win over major new accounts - and still managed to survive and thrive?
And the author actually confirms this:
> AI isn’t killing B2B SaaS. It’s killing B2B SaaS that refuses to evolve.
And all of those updates are just AI features.
Can you though? With major bugs? We've been getting more and more crashes, downtime, issues etc lately and a lot of it has had to do with vibe coding.
The whole point of these B2B SaaS is meant to be quality.
i.e. it's set users' expectations but in the wrong way.
How's that going for Microsoft?
https://www.windowscentral.com/microsoft/windows-11/2025-has...
but they don't want to. and they will be replaced, as it's good and well.
You need your B2B SaaS to think you can use AI to replace it though, so said SaaS will keep it's prices reasonable. Otherwise they have you by the balls and will charge you much as humanly possible.
I feel like there's an interesting story in there.
Are these companies unable to build a link shortener? It's also so easy to migrate off shortener service. If they can and still choose to use these shortening services, there must be other reason. And that reason is that they simply don't want to. This has nothing to do with AI.
I run a software company and one of the reasons customers say they want to migrate from their homegrown spreadsheet is because the guy who built it left. A freaking spreadsheet!
Such blog posts and probably many comments here are the perfect answer to "Tell me you don't run a real business without telling me you don't run a real business"
Making the audit someone else’s problem is 90% of the ‘buy’ value in ‘build vs buy’
I've never seen a SaaS product that fits this description. There are always things to do. Libraries to upgrade, performance bottlenecks to diddle around with, an endless stream of nonsense feature requests from people at the customer who never actually use the product, fun experiments your developers want to try out, and so on.
The hard part in SaaS is to delete code, and that's what you should do, at least some of the time. Either through simplifications, or just outright erasing functionality that very few if any of your customers rely on.
What you should not do is let your customers grow the liability that is code in your production environment, unless your entire product set is designed to handle things like this, e.g. the business models of Salesforce and SAP.
1) The must-haves. These are your email and communication systems, the things you absolutely have to have up and available at all times to do business. While previously self-hosted (Exchange/Sendmail, IRC/Skype/Jabber, CallManager/UCS), the immense costs and complexities of managing systems ultimately built on archaic, monolithic, and otherwise difficult-to-scale technologies meant that SaaS made sense from a cost and a technical perspective. Let's face it, the fact nobody really hosts their own e-mail anymore in favor of Proton/Microsoft/Google/et al shows that self-hosting is the exception here, not the norm - and they're not going anywhere regardless of how bad the economy gets. These are the "housing stock" of business, and there's plenty of cheap stock always available to setup shop in without the need for technical talent.
2) The juggernauts. The, "we can do this ourselves, but the pain will be so immense that we really don't want to". This is the area where early SaaS solutions cornered and exploded in growth (O365, ServiceNow, Google Workspaces), because managing these things yourself - while feasible, even preferable - was just too cheap to pass up having someone else wrangle on your behalf with a reasonable SLA, freeing up your tech talent for all the other stuff. The problem is that once-focused products have become huge behemoths of complex features that most customers neither need nor use on a regular basis, at least after the initial pricey integration. Add in the ease of maintainability and scalability brought by containers or microservices, along with the availability and reliability of public cloud infrastructure, and suddenly there's more businesses re-evaluating their relationships with these products in the face of ever-rising prices. With AI tooling making data exfiltration and integration easier than ever from these sorts of products, I expect businesses to start consolidating into a single source of truth instead of using dozens of specific product suites - but not toppling any outright.
3) The nice-to-haves. The Figmas, the HubSpots, the myriad of niche-function-high-cost SaaS companies out there making up the bulk of the market. Those whose products lack self-hosted alternatives risk having vibe-coded alternatives be "good enough" for an Enterprise looking to slash costs without regard to long-term support or quality; those who compete with self-hosted alternatives are almost certainly cooked, to varying degrees. If AI tooling can crank out content similar in quality to Figma and the company has tech talent to refine it for long-term use, why bother paying for Figma? If AI tooling can crank out a CRUD UI for users that just executes standard REST API calls behind the scenes, then why bother paying for fancy frontends? While it's technically interesting and novel at how these startups solved issues around scaling, or databases, or tenancy, the reality is that a lot of these niche products or services could be handled in-house with a container manager, a Postgres instance, and a mid-level IT person to poke it when things go pear-shaped. The higher per-seat prices of a lot of these services make them ripe for replacement in businesses comfortable with leveraging AI for building solutions, and I expect that number to grow as the tools become more widely available and IT-friendly in terms of security.
Ultimately, the core promise of SaaS to business customers was all the functionality with none of the costs of self-hosting support. Nowadays, many of them have evolved into solutions that are more expensive than self-hosted options, and businesses that have shifted IT into public clouds or container-based systems have realized they can do the same thing for less themselves, at the cost of some UI/UX niceties in the process. Now that we (IT) can crank out integrations with local LLMs with little to no cost, we're finally able to merge datasets into singular pools or services - and I'm not talking about Snowflake or its "big data" ilk so much as just finally getting everything into Salesforce or ServiceNow without having to bring in consultants.
The must-haves and many of the juggernauts will remain - for now. It's the niche players that need to watch their moats.
If your workforce is vibing all day, they will have no capacity for maintenance, because it isn't their code. So the maintenance that happens will be slop and more spaghetti. I am not saying cases like that never existed before, but such companies will face a moment of truth sooner or later.
If anything B2B SaaS is growing with AI, and it hasn't even begun, the biggest AI markets right now are personal. The B2B market is up for grabs for sure, 0%-1% of niches have an LLM product right now. But traditional SaaS has a huge advantage, they have reams of industry specific data, and they have the customers, sure they will have competition, but they are the incumbents.
If I had any money I'd buy the dip
- No professional used an iPhone for years. Most don’t today.
- Professional scoffed at it as a toy
- The toy shifted the balance of volume through everyday enablement of amateurs to a degree that professional were right, but now in a severely lopsided terrain.
The value ends up in the most engaged paradigm, rather than the most perfect one.
First of all, many big companies pay a fortune to use inferior SaaS solutions instead superior Open Source solutions; possibly because one of their CTO may have received kickbacks or promises of a lucrative job at the SaaS provider as a consequence of this deal. There are a lot of politics going on behind the scenes when it comes to procurement.
Execs at big corporations are often looking for plausible ways to spend investors' money in a way that they can capture some of it for themselves. If they choose open source or they choose cheap vibe coded solutions; there is not much money changing hands. No opportunities for insiders to covertly monetize.
And then there are a lot of security implications to using a complex vibe coded app. The AI won't be able to identify the vulnerability in any decent sized codebase unless you know what you want it to look for.
Now with cloud maturity and Vibe coders who will get better and cheaper, I think it's possible to replace all the features we use on Salesforce at a fraction of the cost of our Salesforce licensing cost.
Since when does stock price / valuation have to match actual business realities?
I was surprised when I saw the numbers from Bloomberg myself as well!
You can shit out an app with AI, just like you could with Indian workers. But that doesn’t mean it will work properly or that you’ll be able to maintain it.
And most importantly, it only works for code they could steal from GitHub. It has no idea how to replicate sensitive systems which aren’t publically documented, and those are some of the most valuable contracts.
Although the article may also be hyperbolic, I'm not going to comment on reasons why it might be. Instead, I will agree, and think SaaS companies stock performance this year will be proof. Sure, it might not be the collapse that AI doomers are hoping for, but all the FUD they spread over the past few months to years will signal that they're not insulated from it. They made their cake, now they have to eat it too.
Enterprise sales basically works like this: A non-technical sales team aggressively promises everything to win a deal to a non-technical procurement or exec team. When the deal is won, the SaaS sales team tells engineers "go build this" regardless of how stupid it is. And the customer tells their employees "you now have to use this SaaS" regardless of whether it makes sense.
> And vibe coding is fun. Even Bret Taylor, OpenAI’s chair, acknowledges it’s become a legitimate development approach.
Color me shocked! Bret, who directly profits by how his product is perceived, thinks it's legitimate???? /s
??? Do you mean biased or do you mean impartial?