sparc-methodology

Multi-agent orchestration coordinates parallel workflows across specialized modes like researcher, architect, coder, and tester to handle end-to-end software development from specification through deployment. It reduces cycle times by executing tasks concurrently across the project lifecycle.

The SPARC methodology workflow structures complex software projects into sequential phases: Specification, Architecture, Refinement using TDD, Review, and Completion. It applies systematic parallel processing to improve quality across discovery, design, implementation, and deployment.

To coordinate a feature from requirements to deployment, apply a SPARC-driven workflow using parallel agent modes. The architect designs the system, the coder implements features, the TDD agent writes tests, and the reviewer validates code before final deployment.

Yes, you can use flexible orchestration patterns including hierarchical, mesh, and sequential pipelines for complex projects. These reusable strategies allow adaptive coordination across multiple agents, enabling parallel task execution tailored to specific project requirements.

Yes, multi-agent software development supports memory persistence across sessions. It integrates documentation and memory to maintain persistent decisions and traceability, ensuring context is preserved throughout the specification, architecture, refinement, and completion phases.

You should avoid structured multi-agent workflows for simple, linear tasks that do not require parallel execution or complex architectural coordination. The overhead of orchestrating multiple agent modes is best suited for large-scale projects needing specification, refinement, and review phases.