[tinco]

That's it precisely. I'm working on the exact same thing GPT-migrate is doing, but I'm approaching it from the other direction first. My project is trying to generate a test suite that aims to cover the full original functionality (bug for bug as they say). That way a tool like GPT-migrate has a much better chance of generating the translation without errors and whoever uses it can have more confidence in that the output will be correct.

I'm a bit intimidated that Josh came so close in just a week of work but it's also inspiring confidence that this is the right track and it's actually going to work when all the puzzle pieces fall into place.

edit: damn, this project actually creates rudimentary tests as well. It's such a lean approach, makes me feel like I'm still coding in 2022 when Josh is firmly in 2023.

[arach]

I agree! This is a pretty elegant approach and while like you I haven't fully internalized the 2023 way of building AI native product, I'm inspired and increasingly confident in how much can be accomplished in a lean way.

[dzhiurgis]

How do you fit all the codebase tho? GPT-4 is limited to 32k tokens which is like 500 lines?

[tinco]

I scan through files in chunks, with particular questions for the LLM, building up a context that is eventually used to write the test.