> It helps gpt understand larger code bases by building a "repository map" based on analyzing the abstract syntax tree of all the code in the repo. What I do w

> It helps gpt understand larger code bases by building a "repository map" based on analyzing the abstract syntax tree of all the code in the repo. What I do with codespin[1] (another AI code gen tool) is to give a file/files to GPT and ask for signatures (and comments and maybe autogenerate a description), and then cache it until the file changes. For a lot of algorithmic work, we could just use GPT now. Sure it's less efficient, but as these costs come down it matters less and less. In a way, it's similar to higher level (but inefficient) programming languages vs lower level efficient languages. [1]: https://github.com/codespin-ai/codespin-cli https://github.com/codespin-ai/codespin-cli