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But when the code doesn't meet the requirements, the AI needs to know what's incorrect and what changes it needs to make, and that still requires a human. Unless you just put it into a loop and hope that it produces a working result eventually.


So what if you don't "just put it into a loop and hope" but actually make a complex AI agent with static code analysis capabilities, a graph DB, a work memory etc?

I'm doing just that and it works surprisingly well. Currently it's as good as people with 2-3 years of experience. Do you really believe it's not going to improve?

Now I'm making a virtual webcam so it has a face and you can talk to it on a Zoom meeting...


Do you have a presentable demo? LLM augmented by static code analysis sounds very interesting


I don't have GPT-4 API access yet... Using my ChatGPT Plus subscription so far. Will make a release once I get the API.




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