reactive-loop

You can automate a multi-agent workflow by initializing a shared state to coordinate role-specific agents across define, design, implement, verify, and fix phases. The system handles deterministic task routing and automatic retries to accelerate feature delivery.

A self-correcting multi-agent loop is a workflow that coordinates cross-functional agents to deliver software features. It uses an error taxonomy and state management to route failures, automatically spawning retries and updating the process over time.

Error routing in automated workflows uses a defined error taxonomy to handle failures during task execution. It automatically routes errors to the appropriate fix phase, updates retry counts in the shared state, and re-runs the failed step.

Yes, you can spawn role-specific agents such as PO, Architect, Frontend Engineer, QA, and Dev. The orchestration loop coordinates these agents sequentially and dynamically across verification and implementation phases to ensure quality assurance.

To start a self-correcting loop, invoke the command and follow the prompts to define your user story. Once defined, the shared state initializes and the role-specific agents collaborate automatically across the delivery phases.

You need dynamic agent spawning when coordinating complex feature delivery that requires cross-functional collaboration. It allows the workflow to spawn the exact role-specific agents needed for each phase while maintaining a recoverable loop with end-to-end visibility.