<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Harness on Agentic Engineering in Action (agentprose demo)</title><link>https://vibeprogrammer.github.io/agentprose-demo/tags/harness/</link><description>Recent content in Harness on Agentic Engineering in Action (agentprose demo)</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 28 Sep 2026 05:15:33 +0000</lastBuildDate><atom:link href="https://vibeprogrammer.github.io/agentprose-demo/tags/harness/index.xml" rel="self" type="application/rss+xml"/><item><title>One corpus, many harnesses: what it took to keep our AI consistent</title><link>https://vibeprogrammer.github.io/agentprose-demo/posts/one-corpus-many-harnesses-what-took-keep-our-ai/</link><pubDate>Mon, 28 Sep 2026 05:15:20 +0000</pubDate><guid>https://vibeprogrammer.github.io/agentprose-demo/posts/one-corpus-many-harnesses-what-took-keep-our-ai/</guid><description>&lt;p&gt;👋 Guest post: This edition is written by &lt;a href="https://no.linkedin.com/in/einari"&gt;Einar Ingebrigtsen&lt;/a&gt;, sharing his own perspective and experience. I’m also open to featuring more guest voices in future editions, so if you have something relevant to share with this community, feel free to reach out.&lt;/p&gt;</description></item><item><title>The model is a commodity. The harness is your advantage. A hands-on experiment with GitHub Copilot app's Canvas</title><link>https://vibeprogrammer.github.io/agentprose-demo/posts/model-commodity-harness-your-advantage-hands-on-github/</link><pubDate>Tue, 30 Jun 2026 12:29:09 +0000</pubDate><guid>https://vibeprogrammer.github.io/agentprose-demo/posts/model-commodity-harness-your-advantage-hands-on-github/</guid><description>&lt;p&gt;The teams getting the most out of AI agents are not the ones with the best model. They are the ones building a custom layer on top of it. This is a short, hands-on look at one new surface for that layer - GitHub Copilot app&amp;rsquo;s Canvas - learned by building a small internal tool end to end.&lt;/p&gt;</description></item></channel></rss>