The code does less than the title appears to claim - it's a simple concatenation of files into one text file. Luckily GPT itself is high leverage and that's all you need.

https://github.com/mpoon/gpt-repository-loader/pull/17/ If you look at this PR, he had ChatGPT write the tests for him.

He wrote the issue on https://github.com/mpoon/gpt-repository-loader/issues/16 and summarized https://github.com/mpoon/gpt-repository-loader/discussions/1...

"Open an issue describing the improvement to make Construct a prompt - start with using gpt_repository_loader.py on this repo to generate the repository context, then append the text of the opened issue after the --END-- line."

Feels like it needs to add a little Github client to be able to automatically append the text of issues at the end of the output. I'm sure ChatGPT can write a Github client in Python no problem.

I've got a hunch that AI will be able to put Hyrum's Law (https://www.hyrumslaw.com) to good use in the future: given an application, generate unit tests for all documented and undocumented behaviours of the system. Do all the refactoring you need afterwards and you'll have a large safety net backing you up. With refactoring complete, regenerate unit tests for all new behaviours of the system.