autonomous-loops

Autonomous Claude Code loops orchestrate sequential, parallel, and RFC-driven patterns to accelerate feature delivery. They apply guarded execution models with clear gating and monitoring to build end-to-end development pipelines and multi-agent coordination workflows.

An RFC-driven DAG pattern is an autonomous loop architecture that orchestrates complex projects by coordinating agents across directed acyclic graphs. It uses cross-context persistence to maintain state across iterations, ensuring scalable AI-powered development for multi-step workflows.

Yes, infinite agentic loops and continuous PR loops are supported loop architectures. These patterns enable continuous integration and delivery workflows by applying modular loop orchestration with guarded execution, clear gating, and cross-agent context persistence.

The best way to structure multi-agent coordination is using modular loop patterns like Sequential Pipeline or De-Sloppify architectures. These provide guarded execution models with clear gating and monitoring, ensuring scalable coordination across cross-context iterations.

No specific dependencies are required to run autonomous loop patterns. The orchestration operates standalone, providing reference implementations for sequential, infinite-agent, and RFC-driven DAG workflows without external package dependencies.

You should avoid using autonomous loops when your CI/CD workflows lack clear gating mechanisms or require strict manual oversight. The loop architectures rely on guarded execution models, so unmonitored environments without cross-context persistence safeguards may cause runaway agent actions.