sparc-methodology

Multi-agent orchestration is achieved by applying the SPARC methodology to coordinate specialized agents and shared memory across structured phase gates. It supports parallel execution across the full lifecycle, from specification through completion.

SPARC is a structured methodology that orchestrates specialized agents and memory sharing across the software development lifecycle. It provides rigorous phase gates for specification, architecture, refinement, review, and completion to enable parallel execution.

Test-driven development is supported within the refinement phase of the SPARC methodology. Agents execute TDD processes within the coordinated multi-agent workflow, maintaining memory sharing and structured phase gates across the lifecycle.

Begin by defining your project objective and selecting the appropriate SPARC phase to initiate coordinated multi-agent work. The methodology then structures specialized agents and memory sharing to progress through specification, architecture, refinement, review, and completion.

Multi-agent orchestration suits projects requiring rigorous phase gates, parallel execution, and cross-functional coordination. The SPARC methodology specifically supports complex systems needing structured specification, architecture, refinement, and review phases.

Memory sharing between specialized agents is a core feature of the SPARC multi-agent orchestration methodology. It enables cross-agent coordination and memory integration to accelerate project delivery across the lifecycle phases.