review-loop

You can audit an FSM loop by validating the configuration file against a comprehensive rubric of correctness and safety checks. This process simulates execution to detect stalls, premature termination, or logic gaps before production deployment.

FSM loop simulation-based verification is a behavioral testing method that simulates state transitions to detect stalls, premature termination, or logic gaps. It ensures long-horizon AI agents maintain structural integrity and behavioral correctness during execution.

To validate loop YAML for state transition errors, run an automated auditing skill against the configuration file. This checks the YAML against a rubric to ensure error handling is explicit and state transitions are robust before deploying agentic workflows.

Yes, automated rubric scoring can check semantic goal alignment in agentic workflows. The auditing process validates that your loop design and state transitions align with your stated goals while verifying structural integrity and behavioral correctness.

FSM loop configurations cause infinite loops or premature termination due to logic gaps and poor design patterns. Simulating loop execution and validating state transitions against a correctness rubric detects these structural fragilities before they impact production.

Yes, automated FSM auditing works for long-horizon software development loops. It applies simulation-based verification and semantic goal alignment checks to validate state transitions, ensure explicit error handling, and prevent logic errors in complex agentic workflows.