harness

An automated planner generator evaluator loop coordinates structured handoffs to validate complex software tasks. It auto-selects execution mode based on task complexity and reuses existing verification infrastructure to guide automated iteration toward a final validated result.

Validating multi-file implementation tasks automatically requires an orchestration loop that manages structured handoffs between generation and evaluation. This approach stores execution plans and evaluation records to ensure automated iteration reaches a final validated result.

You can reuse existing verify-* and review-* skills as evaluator infrastructure for AI agents. This avoids reinventing verification loops by integrating these existing skills directly into the automated evaluation phase of the orchestration cycle.

AI agent orchestration auto-selection works by evaluating task complexity to determine the optimal execution mode. This optimizes resource use by matching the execution approach to the specific demands of the multi-file implementation task.

Auditable handoffs between a planner, generator, and evaluator are maintained using exec-plan-style coordination. The system stores execution plans and evaluation records throughout the automated iteration loop to ensure structured and traceable transitions.

An automated planner generator evaluator loop is needed for complex multi-file implementation tasks where manual verification is insufficient. It enforces structured handoffs and reuses verification infrastructure to guide automated iteration toward a validated result.