TL;DR: I built an AI agent system that automates my entire GitHub workflow — from discovering issues to submitting PRs to managing reviews. After 100+ hours and 50+ PRs, here's the complete architecture, real code, honest failures, and lessons that no tutorial will tell you. The Problem: Open Source Contribution is Broken Let me paint you a picture. It's 2026, and the open source ecosystem has a paradox: Millions of open issues across GitHub Thousands of developers looking for contribution opportunities Hundreds of paid bounties sitting untouched Yet most developers spend hours just finding a good first issue I was one of those developers. I'd spend 2-3 hours searching for issues, reading codebases, understanding context — before writing a single line of code. The ratio was terrible: 80% searching, 20% coding. So I built an AI agent to flip that ratio.…