HarnessAdapt-RL Evolves Training Harnesses Alongside Agent Policies
October 19, 2026
HarnessAdapt-RL improves coding agent performance by simultaneously training the policy and adapting the interaction harness during RL. Using a 9B base model, the method employs teacher models to evolve tools and task-specific skills based on observed pass rates.
HOW THIS AFFECTS YOU
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builderYou can significantly improve agent pass rates by making your training environment and toolsets adaptive to the agent's progress.
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founderThis highlights a shift toward holistic agent training where the environment is as dynamic as the model.