A repository-integrated guardrail layer monitors AI agent activity across local workflows, CI, and pull requests. It enforces approval checkpoints, detects unrequested changes, runs targeted tests and code review checks, and generates an audit trail showing what the agent changed, why, and who approved it.

AI coding agents are moving from small autocomplete tasks to multi-hour autonomous workflows, increasing the risk of unauthorized commits, hidden regressions, and compliance gaps. At the same time, projects and regulators are demanding stronger evidence of human oversight.