sparc-methodology

Multi-agent orchestration coordinates parallel software development using structured phases and memory sharing to accelerate complex projects. It enables systematic execution across specification, architecture, TDD refinement, and completion phases.

Start a multi-agent workflow by initializing a swarm and selecting the architect mode to begin specification and design. The structured workflow then progresses through pseudocode, refinement, and completion phases.

TDD development works with parallel agent orchestration by integrating test-driven refinement into the multi-agent workflow. This ensures quality assurance through cross-agent reviews and memory-integrated context tracking.

To coordinate software development with SPARC, you need dedicated tooling for orchestration, mode definitions, and cross-agent communication. These tools manage the 17 specialized modes and memory persistence across agents.

Use multi-agent orchestration for software architecture when managing complex projects that require structured lifecycle phases from research to deployment. It suits scenarios needing TDD-centric development, parallel agent execution, and cross-agent reviews.

SPARC methodology distinguishes itself with a structured 5-phase workflow and 17 specialized modes covering the full lifecycle. It uses memory-integrated parallel agent orchestration and TDD-centric development for quality assurance.