How to Build Self-Healing AI Agents with Monocle, Okahu MCP and OpenCode

<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org

<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple

<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<h2> TL;DR </h2> <blockquote> <p>MCP is becoming the interface between AI agents and infrastructure<br /> data. <a href="https://docs.datadoghq.com/bits_ai/mcp_server/"

<p>If you’ve browsed agent engineering discussions recently, you’ve seen the same hype everywhere: MCP (Model Context Protocol) is the new standard for AI agents. Every new

<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

<p>In January and February 2026, security researchers filed <a href="https://www.heyuan110.com/posts/ai/2026-03-10-mcp-security-2026/" rel="noopener noreferrer">30 CVEs against