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	by ghughes 1099 days ago
	Cool project! I'm working in the same space (a ChatGPT plugin that can edit files within a shared VS Code workspace) and have built something similar to your "repo map" concept, except slightly lower-level: what you might call a "file map" generated by selectively collapsing AST nodes to fit within the available token budget. If ctags isn't cutting it for you, have a look at tree-sitter [1]. It can generate ASTs for most languages and has a nice API. [1] https://tree-sitter.github.io/tree-sitter/

1 comments

anotherpaulg 1099 days ago

Glad to hear there are others working on similar things. I've been wishing there was a good forum for like minded folks to share ideas about AI coding, beyond the random drive-by commenting that happens here on HN.

I have been looking at tree-sitter quite a bit actually. I love that it has broad language support, which is a key design goal for my tool.

My only hesitation is that it doesn't appear to correctly identify multi-line function signatures & calls. If you look below at create, io.tool_error and __init__ you can see that the (row,col)-(row,col) indicies only reference the first line.

GPT would really benefit from seeing the entire function signature and call sites.

  $ tree-sitter tags aider/coders/base_coder.py
  ...
  create      | function def (39, 8) - (39, 14) `def create(`
  check_model_availability  | call     ref (54, 19) - (54, 43) `if not check_model_availability(main_model):`
  tool_error  | call     ref (56, 23) - (56, 33) `io.tool_error(`
  EditBlockCoder  | call     ref (66, 19) - (66, 33) `return EditBlockCoder(main_model, io, **kwargs)`
  ...
  __init__    | function def (74, 8) - (74, 16) `def __init__(`
  set         | call     ref (89, 26) - (89, 29) `self.abs_fnames = set()`
  ...