Very off-putting readme/description, and even after forcing myself to read through it, I don't know why I should use this instead of Copilot/Continue/CC.
> One day I had a subtle bug: the app couldn’t load an index file living under WSL. I asked an AI for help. At first it answered with vague explanations I didn’t really understand. After pushing it to be explicit, I eventually realized what it was suggesting: "fix" the issue by deleting the index file whenever loading it fails.
> I challenged it: "So your plan is: we spend an hour indexing data, save a persistent index, and if we can’t reload it later, we just delete it and start over? That’s like Word saving a document… and then opening an empty file next time. That’s not a fix, that’s a destructive workaround." After more pressure, the bot finally admitted that yes, this was its plan, and backed off.
Even the (supposed) quote of yourself in your story is AI generated, I'm not even sure what to say at this point
> The AI can propose ideas, but it never silently edits your codebase or ships a destructive "fix" behind your back.
I don't know of any widely used tool that "silently edits your codebase"
> AICode is designed to be transparent, to acknowledge its limits, and to work with you to reach a reliable result.
Considering the general vagueness in the description, I will assume you haven't found a novel way of aligning models/enforcing guardrails, and "designed to" is just a fancy way of saying "instructed to"
> AICode does not upload your whole codebase contents to the cloud, because it runs primarily on your machine, connects directly to the OpenAI API servers, and sends only selected source code extracts
That is, in fact, "the cloud™", and every other tool already does this.
I built AICode, a VSCode extension and methodology for writing AI-generated code that remains maintainable in large projects.
It started as a manual workflow on ChatGPT.com: assembling prompts in a notepad, iterating on specifications, self-checks before and after coding. Once the system became reliable, I packaged it into a VSCode extension.
The goal is not speed, but producing structured, high-quality, long-term maintainable software using AI. I use it in my own projects, including apps of 500K LOC.
Looking for feedback from devs who care about AI-assisted development and code quality.
> One day I had a subtle bug: the app couldn’t load an index file living under WSL. I asked an AI for help. At first it answered with vague explanations I didn’t really understand. After pushing it to be explicit, I eventually realized what it was suggesting: "fix" the issue by deleting the index file whenever loading it fails.
> I challenged it: "So your plan is: we spend an hour indexing data, save a persistent index, and if we can’t reload it later, we just delete it and start over? That’s like Word saving a document… and then opening an empty file next time. That’s not a fix, that’s a destructive workaround." After more pressure, the bot finally admitted that yes, this was its plan, and backed off.
Even the (supposed) quote of yourself in your story is AI generated, I'm not even sure what to say at this point
> The AI can propose ideas, but it never silently edits your codebase or ships a destructive "fix" behind your back.
I don't know of any widely used tool that "silently edits your codebase"
> AICode is designed to be transparent, to acknowledge its limits, and to work with you to reach a reliable result.
Considering the general vagueness in the description, I will assume you haven't found a novel way of aligning models/enforcing guardrails, and "designed to" is just a fancy way of saying "instructed to"
> AICode does not upload your whole codebase contents to the cloud, because it runs primarily on your machine, connects directly to the OpenAI API servers, and sends only selected source code extracts
That is, in fact, "the cloud™", and every other tool already does this.
It started as a manual workflow on ChatGPT.com: assembling prompts in a notepad, iterating on specifications, self-checks before and after coding. Once the system became reliable, I packaged it into a VSCode extension.
The goal is not speed, but producing structured, high-quality, long-term maintainable software using AI. I use it in my own projects, including apps of 500K LOC.
Looking for feedback from devs who care about AI-assisted development and code quality.