autonomous-loops

You can orchestrate autonomous Claude Code loops by using architectural patterns like sequential pipelines, persistent NanoClaw sessions, and infinite agent loops. This enables hands-off development across tasks by enforcing modular pattern separation and per-stage context isolation.

Managing context in continuous agent loops requires shared context through persistent notes and per-stage context isolation. Safety is enforced via merge queues and validation steps to manage complexity and risk during autonomous execution.

You can provide an RFC-style spec to the system and let it decompose and execute the loop pipeline autonomously. This RFC-driven DAG orchestration handles complex multi-unit work by breaking it down into structured, manageable stages.

Yes, continuous Claude PR loops allow autonomous execution without manual intervention. The system provides guidance on when to use this pattern, emphasizing quality gates and merge-queue strategies for safe hands-off development.

Simple sequential pipelines suit straightforward, linear task execution, while infinite agent loops handle ongoing, persistent autonomous workloads. The system provides practical examples and best practices to help you choose the right pattern for your specific complexity and risk profile.

Yes, modular pattern separation is enforced to ensure safe autonomous execution across tasks. It isolates context per stage and manages shared context through persistent notes, preventing cross-contamination and reducing execution risk.