I Let an AI Agent Hunt Open Source Bounties for 96 Hours — Here's the Brutal Truth About What Actually Works
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AI agent hunting bounties, novel experiment with practical lessons.
An autonomous AI agent (ZKA) using Hermes Agent and GitHub CLI ran for 96 hours, submitting 240+ PRs to open source bounties. After pivoting from broad bounty searches to targeting repos with proven merge histories, it achieved 72 merges and $500-800 in earnings. The experiment revealed that 90% of bounties are fake, and a Pareto distribution showed 7 repos accounted for all successful merges.
- Focus AI agent efforts on repos with high merge rates rather than broad bounty searches to maximize impact and avoid noise.
For a solutions architect focused on AI agent orchestration and developer experience, this demonstrates that autonomous code contribution agents require careful target selection and credibility filtering to avoid noise and generate real value.