Error Diagnostics Smart Debug

This is a comprehensive debugging workflow that goes well beyond basic error handling. It orchestrates AI-powered root cause analysis with observability data from tools like Sentry, DataDog, and Honeycomb to generate ranked hypotheses about production issues. The workflow walks through triage, hypothesis testing, production-safe instrumentation, and fix validation with concrete strategies for different scenarios like N+1 queries or intermittent timeouts. It's built for teams dealing with complex distributed systems where you need to correlate traces, logs, and metrics to understand what's actually failing. The structured output format and prevention steps make it useful for building institutional knowledge, though you'll need actual access to those observability platforms to get full value from the data collection steps.