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I just throw all relevant source code files (entirely) on it, paste the error message and it usually shows me what's going on. Or at least it utters a hunch, wh

• iforgotpassword 3y ago
  But where's the limit? Say I have a really large project and the function in question is calling dozens of functions from all over the place. The time it takes me to follow each call chain and copy all the code probably takes longer than just debugging the problem myself. I was hoping the GitHub or intelliJ integration of copilot would automate this, especially the latter has excellent static analysis of your code and could automatically provide the AI with relevant context, but they just don't. Even when asking it to just annotate a function and specifically ask it to document any special cases or oddities it might have, I never got much more than e.g. updateFroobCache() annotated with "updates the froob cache". Wow thanks.
  • ryanjshaw 3y ago
    > The time it takes me to follow each call chain and copy all the code probably takes longer than just debugging the problem myself. Yes, and eventually, one of us who is doing this will get tired of it enough to automate the process. May even earn them a few bucks.
  • pyinstallwoes 3y ago
    Start high level then loop it for additional context with each one being a more compressed summary? Symbols, then introspection and expand/compress until there's enough context within the window that is summarized for intelligence.