5 comments

  • ryuuseijin 2 days ago
    This is what I wanted to help with duplicate code detection, which is now a real problem with agentic programming since the agent tends to duplicate helper functions a lot in bigger codebases.

    I ended up writing my own tool [1] that uses vector search, which works but can be unusably slow in large codebases.

    I will give this a shot.

    [1]: https://github.com/ninjaxtools/slopdex

    • 91awebsi 1 day ago
      ooh I'll give yours a shot - thanks for calling my project out on your readme!

      I was fortunate to have a contributor push me to consider optimizations a few months back, and it definitely helped improve the speed/memory metrics.

      I see the CLI knobs are somewhat similar ('min lines', 'thresholds'), however your 'search' is fascinating. I could see myself wondering "how much error handling is duplicated for HTTP responses?" and your tool would give me a start at an answer. Nice!

    • bradleyy 2 days ago
      Thanks for posting this; I'm very interested in finding similar chunks of code in an AST-ish fashion, and using tree-sitter seems perfect.
      • 91awebsi 1 day ago
        I keep meaning to write a post for how this has worked for my projects, I think its been helpful.

        For active projects I setup a weekly-ish 'code audit' agent: it runs treepeat to find opportunities to refactor and bumps up enforced coverage numbers. Over time for some projects I lower the '--similarity' threshold to more broadly find similar structured code (potentially more ambitious refactoring)

      • Game_Ender 1 day ago
        Thank you for a README that is readable. It might have a bit of AI help but it’s concise and makes it clear how to use the tool.
        • anaqin 1 day ago
          I dunno… I’m finding myself yearning for some emojis, a dedicated marketing web site, and a bunch of incomprehensible paragraphs that lack any soul.
          • 91awebsi 1 day ago
            Yes, a little AI on the main readme. I started the bones of the thing, but Claude has been behind the keyboard for much of the implementation.
          • Nice approach. AST-level similarity seems much more useful than simple text matching.