HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

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Что произошло

Researchers introduced HarnessOpt-Bench, a benchmark measuring how well large language models optimize AI agent harnesses, the prompts, tools, and orchestration code surrounding models.

Почему это важно

Matters for engineers building agentic systems who need to evaluate whether LLMs can automatically improve system configurations under budget constraints.

На что обратить внимание

Results show performance varies substantially across tasks and seed regimes, with no clear winner among frontier models or their native harnesses.