<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous Agents on The Coders Blog</title><link>https://thecodersblog.com/tag/autonomous-agents/</link><description>Recent content in Autonomous Agents on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 07 May 2026 21:08:17 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/autonomous-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agents Need Control Flow, Not More Prompts</title><link>https://thecodersblog.com/agent-control-flow-for-ai-agents-2026/</link><pubDate>Thu, 07 May 2026 21:08:17 +0000</pubDate><guid>https://thecodersblog.com/agent-control-flow-for-ai-agents-2026/</guid><description>&lt;p&gt;We&amp;rsquo;re building AI agents that can plan, execute, and adapt. The current trajectory, however, is a relentless pursuit of ever-more-elaborate prompt chains. This is a dead end. While LLMs excel at generating text and stochastic reasoning, the reliability and predictability demanded by production-grade AI agents cannot be coaxed from them through sheer prompt engineering. The industry needs to shift its focus from simply &lt;em&gt;asking&lt;/em&gt; AI to do things, to &lt;em&gt;telling&lt;/em&gt; it how to orchestrate its actions.&lt;/p&gt;</description></item></channel></rss>