continuous-agent-loop

Autonomous agent loops require quality gates and an eval harness to prevent churn and low-quality outputs. By enforcing structured loop control with session persistence, the workflow detects stalls, freezes, and replays generation with clear acceptance criteria.

Setting up a continuous agent loop for CI pull requests involves selecting a CI/PR-controlled generation flow. This enforces quality gates and an evaluation loop to constrain autonomous generation, ensuring outputs meet acceptance criteria before merging.

RFC decomposition DAG planning is a flow that breaks down requests for comments into a directed acyclic graph for autonomous agents. It structures generation tasks to keep outputs measurable, reproducible, and convergent toward acceptance criteria.

Autonomous agents handle failure recovery by detecting churn, repeated retries, and cost drift, then freezing the session. They replay the generation loop using session persistence and explicit acceptance criteria to resume progress safely.

Yes, you can use exploratory parallel generation with session persistence. This combination ensures parallel autonomous workflows remain measurable and reproducible, allowing you to audit the evaluation loop and recover from stalls.