How I Turned 65+ GitHub Actions Failures into an AI-Queryable Debugging Database

Every team I've worked with has the same problem: someone breaks a GitHub Actions workflow, gets a cryptic error, and spends 45 minutes Googling before pinging the one person who's seen it before. That person has become the tribal knowledge silo for CI failures. When they're out, the team is stuck. I decided to fix this permanently. Not with another blog post (though I wrote that too ), but with a structured, queryable database that both humans and AI agents can consume directly - no internet trawling, no Stack Overflow context-switching, no guessing.