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.…