continuous-agent-loop

To stop autonomous agent loops from churning, apply recovery controls that detect repeated retries with the same root cause and trigger freeze-and-replay or scope reduction. This prevents uncontrolled escalation and persistent failure loops.

You enforce acceptance criteria in autonomous workflows by integrating eval harnesses and quality gates directly into the agent loop. This ensures measurable progress and validates that outputs meet required standards before proceeding.

The best way to structure RFC decomposition in an autonomous agent loop is pairing it with code-quality gates and session persistence. This combined production pattern supports iterative development with measurable outcomes.

Use exploratory parallel generation when exploring multiple solution paths, and switch to sequential fallback for iterative development when progress stalls. Loop selection depends on CI/PR strictness and RFC decomposition needs.

Handle merge queue stalls and cost drift by implementing failure mode detection within the agent loop. When these conditions are identified, apply safe recovery steps like freezing the session and reducing scope.

Yes, you can persist session state in a continuous agent loop. Combining RFC decomposition with code-quality gates, an eval loop, and session persistence creates a production-ready workflow for iterative development.