Mirrors – test AI agent changes by replaying production traces

Mirrors is a tool that replays recorded production traces to safely test changes to AI agents before deployment, allowing developers to validate behavior without risking live systems. It is designed for engineers building and maintaining AI agents, particularly those in production environments where reliability is critical. The project is interesting because it bridges the gap between offline testing and real-world complexity, enabling safer iteration on agent logic through realistic, trace-driven simulation.