sparc-methodology

Multi-agent orchestration coordinates specialized agents through hierarchical or mesh topologies for parallel execution. SPARC methodology structures this coordination across specification, architecture, refinement, and completion phases, enabling agents to share memory and context while working on research, design, implementation, testing, and deployment tasks simultaneously.

Test-driven development (TDD) follows a Red-Green-Refactor cycle: write failing tests first, implement minimal code to pass them, then refactor for quality. SPARC integrates TDD workflows with persistent agent memory to maintain 90%+ test coverage across features, ensuring agents build collective knowledge and prevent regressions.

Yes. SPARC methodology integrates with Claude Flow as a dependency to orchestrate multi-agent teams through systematic development phases. This combination enables parallel agent execution, persistent memory sharing, and coordinated workflows across specification, architecture, refinement, and completion stages.

Persistent memory integration ensures agents share knowledge and context across sessions, building collective intelligence for the project. This allows specialized agents (Coder, Architect, Tester, Reviewer) to reference prior decisions, maintain consistency, and accelerate development by avoiding duplicate work and context loss.

SPARC methodology enforces specification-before-code and tests-before-features requirements. Start by documenting requirements in the specification phase, then write failing test cases, design the architecture, implement minimal code to pass tests, refactor for quality, and maintain documentation throughout—all coordinated across agent teams.

Yes. SPARC satisfies requirements for security and performance checks integrated throughout the development lifecycle, from architecture review through refinement and completion phases. Multi-agent orchestration enables specialized agents to validate security posture and performance benchmarks as code evolves.