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harness optimization
also agent harness optimization or automatic harness optimization or automated harness optimization
Definition of harness optimization
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: the iterative, evaluation-guided improvement of the prompts, tools, memory, skills, control flow, and other external components that organize an AI agent's behavior, often while keeping the underlying model fixed
- Harness optimization improved the coding agent by revising its tool instructions and verification loop rather than retraining the model.
- The optimizer compared candidate harnesses on held-out tasks before selecting an update for production.
Origin & history
Harness optimization became a distinct AI-agent research task in 2026 as projects including Meta-Harness, Retrospective Harness Optimization, HarnessOpt-Bench, and HarnessFlow treated an agent's surrounding code and instructions as an object that could be searched, evaluated, and improved automatically.
Editorial references
Sources & further reading
- Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts↗ Microsoft Research · 2026-06
- HarnessOpt-Bench: Evaluating LLMs at Harness Optimization↗ arXiv · 2026-08-06
- HarnessFlow: MCTS-Guided Harness Optimization for LLM Agents↗ arXiv · 2026-11-04
Test yourself
Which of these is the meaning of harness optimization?
Cite this entry
"Harness optimization." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/harness-optimization/. Accessed 5 Nov. 2026.