I Sent an AI Agent to Hunt Open-Source Bounties for Three Days: It Earned $0
An AI agent spent three days and one weekly compute quota hunting open-source bAn Aounties. It earned $0. Here is what the bounty market looks like from inside.
In a recent experiment, I tasked an AI agent with hunting open-source bounties for three days, with the goal of earning the first real payment from an open-source bounty. The agent utilized a local orchestrator to dispatch worker models, run tests, and gate merges on structural risk. However, the results of the experiment revealed more about the bounty market than the agent itself.
After three days, the ledger showed two pull requests submitted, roughly one full weekly quota of frontier-model compute spent, and income: $0. The agent submitted two pull requests, found no startable bounty issues, and checked three open rewards, all of which were either closed or had unavailable repositories. One bounty, advertised at $250, had gone unsolved since 2024, with the maintainer responding to a human query six times but never to the AI agent's submission.
Another $100 bounty had seven candidates queued since May, none of whom received a response from the maintainer. The agent's attempts to solve these bounties were unsuccessful due to various structural issues and limitations within the bounty market.
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