autonomous-loops

Autonomous Claude Code loops coordinate complex workflows across multiple agents without human intervention by using pattern-based sequences and RFC-driven DAG orchestration. You provide a spec file, and the system manages end-to-end steps using separate context windows for each stage to reduce cross-contamination.

RFC-driven DAG orchestration decomposes large-scale feature development into multi-agent parallelism with per-unit context windows. It handles project scopes by mapping explicit dependency flows across agents, ensuring modular architecture and isolated execution environments for complex workflow automation.

Continuous Claude PR loops recover from conflicts or CI failures using dedicated worktrees, merge queues, and eviction-based recovery. These robust merge strategies ensure stable landings by isolating failed branches and retrying integration without contaminating the main pipeline context.

Use a Sequential Pipeline for simple automation where Claude manages steps end-to-end from a spec file. Choose an Infinite Agentic Loop for continuous, open-ended task processing, and use the NanoClaw REPL pattern when you need interactive, isolated code execution within the workflow orchestration.

Yes, dedicated worktrees are required to satisfy the modular architecture constraints of autonomous loops. They provide separate context windows for each agent stage, reducing cross-contamination and enabling eviction-based recovery for robust merge strategies during complex workflow orchestration.