<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Debugging on Fondsites</title><link>https://fondsites.com/tags/debugging/</link><description>Recent content in Debugging on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 06 May 2026 09:49:57 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/debugging/feed.xml" rel="self" type="application/rss+xml"/><item><title>When AI Agents Fail: How to Debug the Delegation</title><link>https://fondsites.com/ai-agents/guidebooks/debugging-ai-agent-failures/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/ai-agents/guidebooks/debugging-ai-agent-failures/</guid><description>&lt;p&gt;&lt;img
 src="https://fondsites.com/ai-agents/images/guidebooks/agent-failure-debugging.avif"
 alt="An illustrated AI agent debugging bench with a broken workflow trace, highlighted tool call, stale memory card, and repair checklist under a clear inspection lamp"
 loading="eager"
 decoding="async" fetchpriority="high"&gt;
&lt;/p&gt;
&lt;p&gt;When an AI agent fails, the easiest explanation is &amp;ldquo;the model was bad.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Sometimes that is true. More often, it is incomplete.&lt;/p&gt;
&lt;p&gt;Agents fail as systems. The model may misunderstand the goal. The tool may return bad data. The memory may be stale. The prompt may be vague. The source may contain hostile instructions. The approval gate may be missing. The success check may be too weak to catch the error.&lt;/p&gt;</description></item></channel></rss>