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JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

108 upvotes · 26 AUG 2026 · Guibin Zhang, Leo Lu, Fangzhou Xie et al.

This paper develops a model that can automatically generate and adapt agent harnesses, which are crucial for the performance of AI models, to improve their ability to perform tasks. Practitioners might care about this because it could lead to more efficient and effective AI systems.

continual learningagent architecturesmodel scalingmachine learninggenerative models