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@Tilde A. Thurium
Harness 工程不等于自建 harness：给 Agent 足够上下文才是关键
DEV 社区文章介绍 Agent Factory 播客对“agentic harness”术语提出者 Ryan Lopopolo 的访谈。内容涵盖如何通过 harness 工程将短反馈循环嵌入长周期 Agent 工作流、简单 harness 的线性与闭环代码走查，以及用 Gemini 3.8 Flash、Antigravity Boost 和 Google Skills GitHub 仓库配置记忆、工具与护栏的三层栈。作者指出，许多扩展软件工程团队的最佳实践同样适用于编码 Agent。
AI推荐理由 围绕 agentic harness 工程实践展开，包含对术语提出者的访谈及具体工具栈（Gemini 3.8 Flash、Antigravity Boost、Google Skills GitHub 仓库）的配置思路，对 Agent 开发者有参考价值；但为播客内容摘要，缺少可复现的代码或基准数据，部分产品名称无法在输入中核实。
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正文
It means giving the agent enough context to do the right thing
For this week's Agent Factory podcast, I interviewed Ryan Lopopolo, the engineer who coined the term "agentic harness."
What's in the video
How to Stop Writing Code Manually: Ryan explains how to sculpt smaller feedback loops into long-horizon agentic workflows via harness engineering
Harness, Deconstructed: Billy Jacobson delivers a code walkthrough of a simple harness, exploring linear and closed-loop styles.
The Three-Layer Stack: Smitha Kolan breaks down how to use Gemini 3.8 Flash, Antigravity Boost, and the Google Skills GitHub repo to configure memory, tools, and guardrails.
The thing that struck me was how many best practices for scaling software engineering teams also apply to coding agents.
How much code are you writing manually these days? Let me know in the comments!