continuous-agent-loop

To build an autonomous agent loop with quality gates, you orchestrate continuous execution flows like CI/PR control or sequential generation, integrating evaluation harnesses to halt progress and trigger recovery strategies upon detecting regressions or test failures.

Preventing agent churn and repeated retries requires implementing failure management controls that detect cost drift and merge queue stalls, triggering recovery mechanisms like freezing the loop, auditing the failure, reducing task scope, or replaying with strict acceptance criteria.

Autonomous agent loops handle RFC decomposition and exploratory generation by utilizing specific loop selection flows that break down requests into sequential tasks or generate parallel exploratory outputs, continuously refining results through integrated quality gates.

Yes, you can use continuous agent loops for automated code refactoring by orchestrating an autonomous flow that continuously modifies code, runs test evaluation harnesses, and deploys to staging with rollback mechanisms to prevent regressions.

You should freeze an autonomous agent loop when encountering failure modes like severe loop churn, repeated retries, or cost drift, allowing you to audit the issue, reduce the execution scope, and replay the task with updated acceptance criteria.