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Not sure if LLMs would be suited for this, but I think an ideal AI for coding would keep a language's entire documentation and its source code (if available) in its "context" as well as live (or almost live) views on the discussion forums for that language/platform.

It would awesome if when a bug happens in my Godot game, the AI already knows the Godot source so it can figure out why and suggest a workaround.



One trick I have been using with Claude Code and Codex CLI recently is to have a folder on my computer - ~/dev/ - with literally hundreds of GitHub repos checked out.

Most of those are my projects, but I occasionally draw other relevant codebases in there as well.

Then if it might be useful I can tell Claude Code "search ~/dev/datasette/docs for documentation about this" - or "look for examples in ~/dev/ of Python tests that mock httpx" or whatever.


Is that much faster than having Claude Code go directly to github?


Yes - it can use grep etc directly and you don't have to worry about github rate limits (I hit those a lot.)


In a perfect world LLMs could generate Abstract Syntax Trees directly.




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