Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
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Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#142Earlier quoted context omitted.
Afaik many harnesses ship the "default" which is grep+read (like Claude Code). But I agree, IMO it's a weird gap. To be fair I don't think providers are that incentivised to reduce token burn at the moment, but my guess is that that will change and tools like this will become at least an natively supported option in some harnesses.
I would be surprised if, in the "mature" future of AI tools/products, the labs building the models are also selling/building to end users like they are now.
Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#143Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#144Earlier quoted context omitted.
Hey, codebase-memory-mcp and semble are not exactly the same, but it's an interesting comparison, I'll put it on the todolist to check that out and add it to our benchmarks if feasible. If you ever get a chance to do this same comparison with semble it would be super useful feedback since these "real" scenarios are hard to benchmark/replicate.
So, I just tested with semble. Your MCP integration did not work, and kept throwing error (Failed to connect to "semble": MCP error -32000: Connection closed) though I installed using documented manner (tried both: pip and ux methods). Anyways, I made it work by making it generate relevant doc (using semble init), and then copying this into AGENTS.md, and then prompting it with this line: """ Start by reading AGENTS.…
Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#145I'd be interested in seeing actual agent benchmarks (eg CC or Copilot CLI with grep removed and this tool instead). For example, I have explored RTK and various LSP implementations and find that the models are so heavily RL'd with grep that they do not trust results in other forms and will continually retry or reread, and all token savings are lost because the model does not trust the results of the other tools.
Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#146What I have personally observed with such tools is that they make the AI's dumb, similar to how it makes coders dumb when relying more on AI tools. These agentic AI's are already smart enough to figure out a highly optimized path to code exploration or search. But, with these tools, they just go very aggressive, partly because the search results from these tools almost in 100% of the cases do not furnish full details…
> And PROJECT.md contains...
…Why not just use that PROJECT.md as the AGENTS/CLAUDE.md?
Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#147Re: Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
#148What I have personally observed with such tools is that they make the AI's dumb, similar to how it makes coders dumb when relying more on AI tools. These agentic AI's are already smart enough to figure out a highly optimized path to code exploration or search. But, with these tools, they just go very aggressive, partly because the search results from these tools almost in 100% of the cases do not furnish full details…
> Just one line in AGENTS.md and CLAUDE.md: "Start by reading PROJECT.md" . > And PROJECT.md contains... …Why not just use that PROJECT.md as the AGENTS/CLAUDE.md?