Lessons learned building an AI hacker

Building effective AI hackers requires a strategic approach to agent development. Researchers found breaking down complex security tasks into smaller sub-tasks with dedicated agents dramatically improved reliability compared to traditional fuzzing-first methods. By carefully designing tools, structuring outputs, and adapting to model quirks, they created agents that could find vulnerabilities, generate exploits, and develop patches like human security researchers.