代理工具
HarnessOpt-Bench Tests Models at Rewriting Agent Harnesses; Model Choice Has About 1.8× the Impact of Coding Tools
Scale AI treats prompts, tools, memory, and control flow as model-modifiable code, then measures real-world gains using a hidden test set. Across 111 experiments, native coding agents did not consistently outperform a shared harness, while the best validation scores generally proved overly optimistic.