<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Harness Engineering on Mi&amp;Bee Blog</title><link>/en/tags/harness-engineering/</link><description>Recent content in Harness Engineering on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Sun, 15 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="/en/tags/harness-engineering/rss.xml" rel="self" type="application/rss+xml"/><item><title>From Context to Harness: Info Is Ready, But AI Is Still Unreliable</title><link>/en/posts/aihelper/from-context-to-harness/</link><pubDate>Thu, 25 Sep 2025 00:00:00 +0000</pubDate><guid>/en/posts/aihelper/from-context-to-harness/</guid><description>&lt;h2 id="scenario-information-is-correct-but-execution-goes-wrong"&gt;Scenario: Information Is Correct, But Execution Goes Wrong&lt;/h2&gt;
&lt;p&gt;Let&amp;rsquo;s start with a real-world story:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;: A company deployed a RAG-based technical documentation Q&amp;amp;A system. This system worked perfectly—when users asked &amp;ldquo;How to configure Redis cluster?&amp;rdquo; it could accurately retrieve relevant information from technical documents and provide detailed configuration steps.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Problem&lt;/strong&gt;: When a user asked &amp;ldquo;Delete temporary files in the test directory,&amp;rdquo; the system correctly retrieved the right technical documentation, but during execution it mistakenly deleted the entire project&amp;rsquo;s core code.&lt;/p&gt;</description></item><item><title>Harness Engineering: Putting Reins and Brakes on AI</title><link>/en/posts/aihelper/harness-engineering-guide/</link><pubDate>Sun, 15 Feb 2026 00:00:00 +0000</pubDate><guid>/en/posts/aihelper/harness-engineering-guide/</guid><description>&lt;h2 id="what-is-harness-engineering"&gt;What is Harness Engineering?&lt;/h2&gt;
&lt;p&gt;Definition: &lt;strong&gt;Harness Engineering is the discipline of designing constraints, feedback loops, tool systems, and verification mechanisms around AI agents.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;This definition sounds very academic, so let&amp;rsquo;s understand it through a vivid metaphor:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Harnessing a Thousand-Mile Horse&lt;/strong&gt;: A thousand-mile horse (AI Agent) has powerful running capabilities, but without a rider, it might run randomly, injure passersby, or even rush off a cliff. Harness Engineering equips this horse with reins (constraints), brakes (safety controls), whip (incentive mechanisms), and a rider (monitoring), ensuring it travels safely on the correct path.&lt;/p&gt;</description></item></channel></rss>