sparc-methodology

SPARC methodology orchestrates multiple agents through 5 structured phases—Specification, Architecture, Refinement, Review, and Completion—using 17 specialized modes for coding, testing, and reviewing. This ensures parallel execution, cross-agent communication, and integrated deployment with memory-based decision sharing.

Yes. SPARC integrates red-green-refactor cycles into the Refinement phase, requiring tests before implementation. This approach scales to full-stack applications with multi-agent orchestration, adaptive strategies, and end-to-end deployment across all 17 SPARC modes.

SPARC provides a comprehensive methodology with task decomposition across agents, memory integration for shared decisions, and specialized modes for distinct roles. It handles complex projects from initial specification through deployment, ensuring code quality and efficient parallel execution.

Multi-agent orchestration in SPARC distributes tasks to specialized agents while maintaining memory integration and adaptive strategies. This enables comprehensive testing, architectural validation, and security review—all coordinated in parallel—resulting in higher code quality and test coverage.

SPARC guides you through TDD concepts within its Refinement phase, but understanding basic TDD principles helps. The methodology is designed for complex projects where structured coordination of multiple agents across specification, architecture, and testing phases delivers consistent results.

After Refinement, SPARC moves through Review phase where specialized agents conduct testing and security validation, followed by Completion with integrated deployment and monitoring. The end-to-end workflow ensures quality checks precede production deployment.