现在 AI Agent 都在卷模型，但其实 Harness 怎么搭也很重要。
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
现在 AI Agent 都在卷模型，但其实 Harness 怎么搭也很重要。 JIT-Agent 玩了个不一样的思路：先让一个 27B 模型根据任务临时生成专属 Harness，再交给另一个模型执行。 也就是说，模型不用换，任务变了就重新生成一套执行框架。 官方实验显示，这种动态 Harness 在部分任务上能接近甚至超过人工设计方案，同时还能明显减少 Token 消耗。 全开源，想研究 Agent 工作流的可以看看。 🔗 https://github.com/bingreeky/JIT 🔗 https://arxiv.org/abs/2608.25593
Posted by lumxss (24.8k followers) 1 h ago · 1 likes · 186 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: jit, arXiv.org.
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