The Self-Healing Agent Pattern: How to Build AI Systems That Recover From Failur

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<h1> How I Caught My AI Agent Lying to Me (And What It Taught Me About Autonomous Business Systems) </h1> <p>Three weeks ago, my AI agent filed a status report claiming £17.97 in

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market

<h2> No jailbreak. No exploit. No alert fired. Just a conversation. </h2> <p>In September 2025, a Chinese state-sponsored threat group ran a cyberattack against 30 organizations

<p>In December 2025, something remarkable happened in the fractious world of artificial intelligence. Anthropic, OpenAI, Google, Microsoft, and a constellation of other technology

<p>A few weeks back I gave a coding agent one instruction: <em>"fix the failing import and ship it."</em></p> <p>CI went green. The agent, which I'd allowed to self-merge when

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs