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In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy.
For me, my favorite was Bloop — it did a better job of not hallucinating, and I preferred the UX. As an aside, I found that using this in combination with Github Copilot or Perplexity was a little bit frustrating — I’m constantly switching between different tools for the same project. I keep wishing for one tool that can wrap all of this functionality and context within one entry point. I've been exploring some of these ideas in Lightrail, but it doesn't include code search (as we discussed, that's a more complex challenge than code generation). Nevertheless, I'm excited about the possibilities in the field. Thanks for reading so far - I'd love to hear your thoughts and ideas on this!
In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy.
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