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The unreasonable effectiveness of an LLM agent loop with tool use

(sketch.dev)
434 points crawshaw | 1 comments | 15 May 25 19:33 UTC | HN request time: 0.205s | source
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jbellis ◴[15 May 25 20:28 UTC] No.43998980[source]▶
Yes!

Han Xiao at Jina wrote a great article that goes into a lot more detail on how to turn this into a production quality agentic search: https://jina.ai/news/a-practical-guide-to-implementing-deeps...

This is the same principle that we use at Brokk for Search and for Architect. (https://brokk.ai/)

The biggest caveat: some models just suck at tool calling, even "smart" models like o3. I only really recommend Gemini Pro 2.5 for Architect (smart + good tool calls); Search doesn't require as high a degree of intelligence and lots of models work (Sonnet 3.7, gpt-4.1, Grok 3 are all fine).

replies(2): >>43999074 #>>44001738 #
1. sagarpatil ◴[16 May 25 04:02 UTC] No.44001738[source]▶
“Claude Code, better than Sourcegraph, better than Augment Code.”

That’s a pretty bold claim, how come you are not at the top of this list then? https://www.swebench.com/

“Use frontier models like o3, Gemini Pro 2.5, Sonnet 3.7” Is this unlimited usage? Or number of messages/tokens?

Why do you need a separate desktop app? Why not CLI or VS Code extension.