autonomous-loops

Autonomous Claude Code workflows are orchestrated by running sequential pipelines or RFC-driven DAGs that automate feature development from planning through validation with minimal human intervention. This Skill provides architecture patterns for reproducible development pipelines, ensuring per-stage context isolation and robust merge strategies.

An RFC-driven DAG in multi-agent orchestration is a directed acyclic graph pattern where Claude Code loop stages are defined by an RFC document, enabling complex feature workflows to execute autonomously with traceable context isolation and merge-queue landings.

Yes, sequential pipelines support continuous Claude PR loops by applying architecture patterns that include merge-queue landings and eviction recovery. This maintains quality and traceability across automated iteration management in complex software projects.

The best way to isolate context windows across multi-agent loops is applying per-stage separation of concerns architecture patterns. This ensures each autonomous loop stage maintains an isolated context window, reducing context switching and preserving quality during complex feature development.

No, an RFC is not required to run autonomous agentic loops. You can utilize simpler sequential pipeline patterns or NanoClaw-like sessions for automated iteration management, while RFC-driven DAG orchestration is reserved for complex features requiring multi-agent coordination.

Context switching degrades quality in continuous Claude Code iterations because shared state across pipeline stages introduces noise and errors. Applying per-stage separation of concerns with isolated context windows prevents this, ensuring robust merge and review strategies land features reliably.