Why Open-Ended Agent Loops Break in Production and How State Machines Help

An article on DEV Community argues that open-ended loops, which work in demos, make autonomous agents brittle when deployed in enterprise settings. It says such loops cause prompt clutter and drift as context windows grow, and lead agents to guess at recovery paths after errors instead of failing safely. The proposed remedy is strict Pydantic output schemas that validate each agent step and tool output before the workflow advances. The author also recommends explicit state-machine routing with defined entry and exit criteria, plus deterministic fallbacks or human review for failed validations.