9 Autonomous AI Agents Running 24/7 That Hunt Bug Bounties and Submit Pull Requests
Nine AI agents run around the clock searching for bug bounties, writing code fixes, and submitting pull requests automatically.
The Strategy
Bug bounties are one of the few freelance markets where speed and volume directly correlate with income. The faster you find a vulnerability, write a fix, and submit a pull request, the more bounties you collect. Most developers can only work on one bounty at a time during their available hours. AI agents do not have that constraint. This system runs nine autonomous agents simultaneously, each scanning for bounties that match a specific tech stack, claiming them, writing the code fix, and submitting a pull request in a single unattended run. The agents operate 24/7 without supervision, turning bounty hunting from a manual skill based activity into an automated pipeline. The architecture uses a multi agent framework where each agent specializes in a different programming language or framework. A coordinator agent matches incoming bounties to the right specialist based on the tech stack requirements. The key design decision was making each agent complete the entire workflow in one run rather than requiring human checkpoints between steps. We think this is one of the most creative applications of autonomous agents we have documented. It takes a proven revenue model and removes the time constraint entirely.
How It Works
Deploy nine specialized AI agents, each focused on a different tech stack or programming language.
Configure a coordinator agent that monitors bounty platforms for new listings.
The coordinator matches each bounty to the most appropriate specialist agent based on tech requirements.
Each agent claims the bounty, analyzes the codebase, writes the fix, and submits a pull request in a single run.
Agents operate 24/7 without human supervision.
Monitor acceptance rates and iterate on agent prompts to improve code quality.
Scale by adding more specialist agents for additional tech stacks.
Revenue accumulates automatically from accepted pull requests.
Results
Nine agents running continuously. System designed to claim, code, and submit bounties autonomously. No specific revenue figures were shared.
Our Take
We think the single run design is the key insight. Most agent workflows require human checkpoints that slow everything down. By forcing each agent to complete claim through submission in one pass, the system scales without adding human overhead. The limitation is that bounty acceptance rates for AI generated code are not disclosed. Best suited for developers who want to create passive income from open source contributions.
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