<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Resilient on FindPicked</title><link>https://findpicked.com/tags/resilient/</link><description>Recent content in Resilient on FindPicked</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 25 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://findpicked.com/tags/resilient/index.xml" rel="self" type="application/rss+xml"/><item><title>Build Resilient AI Agents Against Opaque LLM Provider Behavior</title><link>https://findpicked.com/blog/ai-agent-model-independence/</link><pubDate>Sat, 25 Jul 2026 00:00:00 +0000</pubDate><guid>https://findpicked.com/blog/ai-agent-model-independence/</guid><description>&lt;p&gt;Building robust &lt;strong&gt;AI agents&lt;/strong&gt; requires more than just powerful &lt;strong&gt;LLMs&lt;/strong&gt;; it demands foresight against the inherent unpredictability of proprietary &lt;strong&gt;LLM providers&lt;/strong&gt;. As these models become central to critical applications, their opaque behaviors, sudden policy shifts, or unannounced API changes pose significant risks to application stability and long-term control. This article outlines key strategies for developers to design and implement resilient &lt;strong&gt;AI agents&lt;/strong&gt;, ensuring they remain stable, performant, and adaptable despite external uncertainties.&lt;/p&gt;</description></item><item><title>Architecting Resilient AI Agents for Production Safety</title><link>https://findpicked.com/blog/architecting-resilient-ai-agents/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://findpicked.com/blog/architecting-resilient-ai-agents/</guid><description>&lt;p&gt;As AI agents move from experimental prototypes to critical production systems, ensuring their safety and resilience becomes paramount. Unlike traditional software, these autonomous entities can plan, execute multi-step tasks, and interact with the real world through tools, introducing novel risks like data corruption, financial losses, or system compromises. This guide offers developers a comprehensive approach to designing, deploying, and operating &lt;strong&gt;AI agents&lt;/strong&gt; with robust, built-in safety mechanisms that go beyond simple guardrails.&lt;/p&gt;</description></item></channel></rss>