Thread

1. mrinterweb · 1785956587 · focus · HN ↗

   There is so much opportunity for purpose built models like this. Ideally a harness should spin up a subagent to offload to targeted models for specific tasks like this. I know this is not a novel idea. Claude code does some of this by handing off the "explore" agent work to haiku. I just love seeing that specialized LLMs are being developed.

   1. foota · 1785956634 · focus · HN ↗

      I feel like the future is people building applications with tightly integrated LLMs that work hand in hand with the application's own lifecycle and code.

      I also didn't realize that people were using agentic harnesses for search, it's an interesting idea. If the context length is short enough it should be fairly cheap compared to running "normal" agentic coding workloads where you have O(100k) context length for doing almost anything.

      1. kumama · 1785980427 · focus · HN ↗

         castform founder here. that's a future we are really excited about too :) ideally, you can post-train the llm within the application itself, as it's being used. both interesting infrastructure & algorithmic challenges here

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