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

Coding agents write code. When that code fails, who debugs it? Right now, that's still you. The agent writes, you interpret error logs, you prompt the agent to fix. The debugging loop stays open. The fix is giving agents access to their own telemetry. An agent that can query its own traces can verify its work, diagnose failures, and iterate without waiting for a human to read logs. This tutorial shows you how to build a self-healing agent that runs tests, queries its own production traces via MCP , identifies root causes, and fixes bugs without human intervention. By the end, you'll have a working demo where: A buggy Text-to-SQL application fails its test suite An agent queries its own traces from Okahu Cloud via MCP The agent identifies and fixes bugs based on trace analysis All tests pass, without a human reading logs or prompting fixes What we'll cover: What is Monocle and why auto-instrumentation matters What is Okahu MCP and how agents consume telemetry Setting up the self-healing