sparc-methodology

Multi-agent software development is coordinated using the SPARC methodology, which structures workflows into Specification, Architecture, Refinement, Review, and Completion phases. This framework prevents drift and ensures systematic progress across parallel agents.

To enforce test-driven development in an orchestrated workflow, the SPARC methodology uses the Refinement phase. It mandates TDD practices through specific agent roles like coder and tester, ensuring features are implemented with strict test validation before review.

Memory-based coordination works through a dedicated memory-manager agent that tracks decisions and shares knowledge across sessions. This integration ensures design consistency and prevents misalignment by retaining architectural context throughout the software lifecycle.

Yes, you can use this orchestration framework for requirements specification and system design. The methodology initializes a hierarchical swarm starting with the Specification phase, utilizing researcher, architect, and coder modes to align on requirements and design scalable systems.

You need a phase-driven methodology like SPARC when managing complex, multi-agent software development projects. It provides a structured framework to prevent drift and misalignment across specification, architecture, coding, and deployment phases.