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I'm trying to use LLMs to save me time and resources, "refactor your entire codebase, so the tool can work" is the opposite of that. Regardless of how you ratio

• thunky 1y ago
  It may be a good idea to refactor even if not for LLMs but for humans sake.
  • Someone1234 1y ago
    Right, but the discussion we're having here is context size. I, and others, are saying that the current context size is a limitation on when they can use the tool to be useful. The replies of "well, just change the situation, so context doesn't matter" is irrelevant, and off-topic. The rationalizations even more so.
    • thunky 1y ago
      A huge context is a problem for humans too, which is why I think it's fair to suggest maybe the tool isn't the (only) problem. Tools like Aider create a code map that basically indexes code into a small context. Which I think is similar to what we humans do when we try to understand a large codebase. I'm not sure if Aider can then load only portions of a huge file on demand, but it seems like that should work pretty well.
      • KronisLV 1y ago
        As someone who's worked with both more fragmented/modular codebases with smaller classes and shorter files vs ones that span thousands of lines (sometimes even double digits), I very much prefer the former and hate the latter. That said, some of the models out there (Gemini 2.5 Pro, for example) support 1M context; it's just going to be expensive and will still probably confuse the model somewhat when it comes to the output.