autonomous-loops

Multi-agent workflows with Claude Code are orchestrated by designing autonomous agent loops that handle planning, implementation, testing, and review. This approach uses stage isolation with independent context windows and parallel worktrees to execute AI development pipelines.

RFC-driven DAG pipelines manage context and conflicts through stage isolation, wave-based parallel execution, and a controlled merge/land process. This architecture handles independent context windows and parallel worktrees to resolve conflicts and enable rollbacks.

Yes, continuous autonomous loops support automated PR generation and review. The orchestration includes modes like Continuous Claude PR Loop and Infinite Agentic Loop, which apply iterative development pipelines to execute and refine code changes.

You start building a sequential autonomous pipeline by using the claude -p command for one-time or continuous iterative execution. The Sequential Pipeline mode serves as the entry point for orchestrating simple serial AI workflows before advancing to complex DAGs.

Autonomous agent orchestration supports parallel execution and stage isolation by applying independent context windows and parallel worktrees across development stages. This ensures wave-based execution remains isolated until the controlled merge process.