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Harness Engineering:通过工具和提示定义 AI Agent 的改进

Harness engineering 是 Mitchell Hashimoto 在 2026 年初推广的一个术语,指的是通过工程化解决方案来系统性地改进 AI Agent,以防止其重复犯错。这一概念包括通过更好的隐式提示(例如使用 CLAUDE.md)以及集成允许 AI 与现实世界交互的外部工具来增强 Agent 的能力。将 AI 模型比作大脑,将 harness 比作身体的人体类比,说明了这些周围组件如何使 AI 能够感知和行动。Claude Code 就是一个例子,它利用 ReAct Loop 和 Read、Write、Bash 等各种工具来促进复杂的交互和问题解决。 AI

影响 通过系统性的错误纠正和工具集成,为改进 AI Agent 性能定义了一个概念框架。

排序理由 该条目讨论了一个概念('harness engineering')及其定义,而不是宣布新产品或研究突破。

在 dev.to — MCP tag 阅读 →

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Harness Engineering:通过工具和提示定义 AI Agent 的改进

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该条目讨论了一个概念('harness engineering')及其定义,而不是宣布新产品或研究突破。
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报道来源 [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Carsten Behrens ·

    面向初学者的工程学入门

    <p>"Harness engineering" is one of those terms that gained a lot of traction this year, and I think it will stick around for a while.</p> <p>First of all, for my fellow non-native English speakers, this is a harness (well, technically a dog wearing one):</p> <p><a class="article-…