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Okay thanks for the feedback. I've re-written my readme description and made it shorter. I hope my method is more clear now. I added a 1mn video to explain without all this blah blah blah. :D

Yes there are real differences with copilot/continue/cc: Detailed specifications, AI refinements, AI verifications, and a lot of system instructions yes that's what i mean by instructed, to make the communication with the AI easier.

Yes I have used AI to help me write the README. So i'm an AI user smh ? But the story is true and I have more like this, but I have removed most of the uninteresting text from the description, because yes you're right it was too long.

And I was able to write a 500K LOC app using this methodology and it's maintainable. Can Copilot/Continue/CC do this ? I have tried and they generated crap that's unmaintainable long term. Did you succeed writing a big app with these tools ? I did not but maybe it's possible ?

My app doesn't have downloads any way. So you must be right: It seems useless. Yet it made a difference for me. I don't know...


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.


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