continuous-agent-loop

Autonomous agent loop churn and stalled merges are prevented by applying quality gates and an evaluation harness that verifies outcomes before continuing the loop. Freeze-and-replay recovery is applied when failure modes are detected.

Running an RFC decomposition pipeline with autonomous agents is best handled by selecting the RFC decomposition DAG loop mode, which breaks down constraints into structured tasks. The loop integrates quality checks and session persistence to maintain state across iterations.

Failure modes and repeated retries in continuous agent loops are handled by detecting cost drift and merge-queue stalls, then applying freeze-and-replay recovery with tighter acceptance criteria. This prevents uncontrolled loops from degrading quality.

Yes, exploratory parallel generation is supported as a distinct loop mode alongside sequential, CI/PR control, and RFC decomposition DAG patterns. The loop selection mechanism chooses the appropriate pattern based on your constraints.

Yes, you can use session persistence to maintain state during iterative production execution. The continuous agent loop persists session state across iterations, enabling reliable recovery and continued progress without losing prior work.