This is a really important area of research. Building AI agents that interact with external systems (browsers, APIs, CI/CD) requires a fundamentally different security model than traditional software.

The attack surface is interesting - the agent's "prompt" becomes a trust boundary, and anything that can influence that prompt (PR descriptions, issue comments, commit messages) becomes a potential attack vector.

I've been working on browser automation agents and the same principle applies - you have to assume any page content or user input could be adversarial. Strict separation between "what the agent can see" and "what the agent can do" is crucial.