新闻
The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents- Google Developers Blog
Google Developers · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Google outlines behavioral evaluation methods for testing AI coding agents, emphasizing discrete action assertions over end-to-end benchmarks.
- 为何重要
- Engineers building or maintaining agentic systems need this when iterating on prompts, model upgrades, or tool schemas to catch regressions.
- 注意
- Behavioral evals complement but don't replace end-to-end benchmarks. They work best after agents can dogfood their own codebases, not from day one.
- agent
- eval
这条新闻背后的模式
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- Context Editing & Tool-Result Clearing
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
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