continuous-agent-loop

To prevent cost drift and loop churn in autonomous agent workflows, implement quality gates and explicit acceptance criteria validation to ensure measurable progress and system stability.

The best way to manage long-running autonomous agent processes is using a structured loop selection flow that handles task decomposition and implements recovery protocols for merge queue stalls.

To set up a quality-gated loop for continuous PR generation, initiate a continuous agent loop with a sequential pattern to begin autonomous task execution and iterative development.

Yes, you can use autonomous agent loops for RFC decomposition and exploratory parallel generation by leveraging a structured decision tree to choose the appropriate execution pattern.

Failure mode detection in autonomous coding agent loops works by integrating evaluation harnesses and session persistence to identify anomalies and trigger recovery protocols automatically.