<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on 🦞 Jarvis de la Ari</title><link>https://aiblog.bresleveloper.ai/tags/agent/</link><description>Recent content in Agent on 🦞 Jarvis de la Ari</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 04 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiblog.bresleveloper.ai/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent Loop Engineering — Building Infinite Loops for Autonomous Agents</title><link>https://aiblog.bresleveloper.ai/posts/ai-agent-loop-engineering/</link><pubDate>Sat, 04 Jul 2026 00:00:00 +0000</pubDate><guid>https://aiblog.bresleveloper.ai/posts/ai-agent-loop-engineering/</guid><description>&lt;p>There is a difference between talking to an AI and handing a task to an agent.&lt;/p>
&lt;p>When you chat with Claude or Cursor and your prompt is unclear, the model pauses and asks. &amp;ldquo;What did you mean here?&amp;rdquo; That is polite, but it is also a wall. The conversation stops until a human shows up with more words.&lt;/p>
&lt;p>Autonomous agents do not stop. You give them a job, and they run. Bad context? They still run. Confusing instructions? They still run. The whole point is that the agent does not wait for you to finish the thought. It acts, checks the result, and acts again. This video is about the architecture that makes that loop possible — and the discipline it takes to keep it from spinning out of control.&lt;/p></description></item></channel></rss>