Debugging multi-agent AI systems: handoffs are the silent failure point

Multi-agent AI systems often fail silently at handoff points between agents, not in final outputs. Logging handoffs as first-class events, inspecting state at the boundary, and diffing sender/receiver snapshots can catch errors early. The article recommends treating handoffs as observable events to reduce debugging tax in production systems.