MACO-AI: Multi-agent Code Optimization via Annotations and Intrinsics
Repository-scale code optimization demands broad diagnosis, but unconstrained agent edits impede review and attribution. We present MACO-AI, a reusable multi-agent optimization skill that restricts source changes to annotations and intrinsics. Before delegation, initialization freezes the source state and measurement c...