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I Built an AI Agent That Hunts GitHub Bounties 24/7 — Architecture, Code, and Brutal Lessons After 100+ Hours

DEV Community: github·zk0x /// ℹ️·2 days ago
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What happens when you give an AI agent full control of your GitHub account, a terminal, and one instruction: "make money"? I found out. Here's everything — the architecture that works, the code that doesn't, and the $0 truth about autonomous bounty hunting. The Question That Started Everything It was 2 AM. I was scrolling through GitHub issues tagged with bounty when I realized something: most of these issues had been open for weeks, some months. They were sitting there, waiting for someone to fix them, with real money attached. $50 here. $500 there. A few thousand dollars for the complex ones. And the same thought hit me that hits every developer who discovers bounties: "What if I could automate this?" Not just the searching. The whole thing. Scan for bounties. Analyze the code. Write the fix. Run the tests. Submit the PR. Track the review. Collect the payment. Three weeks later, I had a system running 24/7 that does exactly that.…

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