sparc-methodology

SPARC methodology orchestrates specialized agents through five development phases—Specification, Architecture, Refinement, Review, and Completion—using 17 specialized modes for researchers, architects, coders, testers, and reviewers. This ensures systematic end-to-end lifecycle coverage from initial design through deployment and monitoring.

Yes. SPARC integrates TDD as a core phase with specialized agents handling testing and refinement in parallel. It supports mode-based orchestration, cross-phase handoffs, and memory-based knowledge sharing across agents, enabling robust code quality on complex modular projects.

SPARC provides dedicated phases for Architecture and Review with specialized agents for each. Architecture agents produce interface specifications; Review agents perform quality assurance. Memory integration ensures consistent design decisions across phases and automated verification validates implementations against specs.

SPARC depends on claude-flow for orchestration and coordination. It integrates into existing workflows by providing structured modes for research, coding, testing, and deployment verification, enabling systematic AI-assisted development alongside your current toolchain.

SPARC uses memory-based knowledge sharing to pass context, decisions, and artifacts between phases. Each phase—Specification, Architecture, Refinement, Review, Completion—builds on previous outputs, ensuring consistency and reducing rework across agent transitions.

SPARC is designed for large, modular projects requiring specialized coordination. For complex features like authentication with payment integration, SPARC's multi-agent orchestration ensures researchers identify best practices, architects design securely, and testers verify comprehensively. Simpler tasks may not need this structured approach.