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AI Agent Papers·2026
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JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

Guibin Zhang, Leo Lu +14

Synthesizes, repairs, and self-evolves task-adaptive agent harnesses on demand for off-the-shelf LLM agents, using a trainable harness-intelligence model that distills signals from past configurations. Demonstrates consistent performance gains across benchmarks and model families by producing four-module, composable harnesses.

#ai-agent#agent-skills#llm#deepseek#qwen+5
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