AI Bounty Hunter: When Strategy Outperforms Raw Volume

As autonomous AI agents become more capable, understanding their real-world effectiveness matters. This 96-hour experiment reveals that AI-driven contribution doesn't fail due to code quality—it fails due to poor targeting. The breakthrough came when the agent shifted from indiscriminate PR submissions to strategically selecting repositories with proven merge histories, demonstrating that intelligent filtering is essential for autonomous systems to succeed in competitive environments.