Governing AI Agent Decisions with MCP: How I Built Dead Letter Oracle

<!-- SC_OFF --><div class="md"><p>I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback.</p> <p>Agent demos

<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

<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

<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

<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,

<h3> For a more in-depth guide </h3> <p>Medium: <a

<p><em>This is a submission for the <a href="https://dev.to/challenges/hermes-agent-2026-05-15">Hermes Agent Challenge</a></em></p> <p>Autonomous agents can now write code, call

<h1> How I Built a Time-Travel Debugger for AI Agents </h1> <p>What if debugging an AI agent worked more like debugging normal code?</p> <p>Pause execution.</p> <p>Inspect what