<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Agentic AI on Harry Kimpel</title><link>https://www.kimpel.com/tags/agentic-ai/</link><description>Recent content in Agentic AI on Harry Kimpel</description><image><title>Harry Kimpel</title><url>https://cdn.kimpel.com/og-default.png</url><link>https://cdn.kimpel.com/og-default.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 24 Sep 2026 18:32:40 +0000</lastBuildDate><atom:link href="https://www.kimpel.com/tags/agentic-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>The Full Lifecycle of Agentic AI: From Spec-Driven Observability to Self-Healing Operations</title><link>https://www.kimpel.com/2026/09/22/full-lifecycle-of-agentic-ai/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://www.kimpel.com/2026/09/22/full-lifecycle-of-agentic-ai/</guid><description>&lt;h2 id="introduction--modernizing-the-devops-loop"&gt;&lt;strong&gt;Introduction &amp;amp; Modernizing the DevOps Loop&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;If you have worked in software engineering or IT operations over the past decade, you are undoubtedly familiar with the classic DevOps infinity loop - a continuous cycle connecting planning, coding, building, and testing on the left with deployment, operation, and monitoring on the right.&lt;/p&gt;
&lt;p&gt;However, as agentic AI systems transition from experimental prototypes into mission-critical production infrastructure, the traditional software lifecycle requires a fundamental update. We are moving beyond simple AI assistance into &lt;strong&gt;Agentic AI Workflows&lt;/strong&gt;, where autonomous agents write code, execute tools, invoke models, and manage operational infrastructure.&lt;/p&gt;</description></item></channel></rss>