sparc-methodology

Multi-agent orchestration coordinates specialized agents across development phases using SPARC methodology—Specification, Pseudocode, Architecture, Refinement, Completion—ensuring parallel execution, cross-agent communication, and synchronized results from research, design, coding, and testing agents.

Test-driven development enforces a red-green-refactor cycle where tests drive implementation decisions. SPARC methodology integrates TDD across its 5 phases with 17 specialized modes, ensuring quality assurance and systematic code refinement from specification through deployment.

Claude Flow serves as the foundation for SPARC methodology, enabling mode-based orchestration and parallel agent execution. It powers the framework's ability to coordinate specialized agents across architecture, coding, testing, review, and deployment phases systematically.

Start with the TDD mode in SPARC methodology to orchestrate full-stack development where specialized agents handle architecture, research, coding, and testing in parallel, each applying test-first principles and feeding results into refinement and completion phases.

SPARC methodology addresses scalable deployment pipelines and parallel execution, but effectiveness depends on clear specifications, agent role definition, and memory integration. Complex interdependencies between agents may require iterative refinement cycles.

SPARC methodology satisfies functional and technical requirements for mode-based orchestration and parallel execution but doesn't mandate specific architecture patterns. It adapts to your system design—the framework orchestrates agents around your chosen architecture and deployment strategy.