sparc-methodology

Multi-agent software development coordination is managed through structured phases spanning specification, architecture, refinement, review, and completion. Named agents like researcher, architect, coder, and reviewer execute parallel tasks using memory-based coordination to ensure knowledge retention across sessions.

The SPARC methodology is a scalable framework that aligns specification, design, implementation, and completion phases using clear orchestration rules. It applies formalized activation patterns to coordinate multiple agents across the entire software development lifecycle.

To set up project orchestration, initialize a hierarchical swarm topology and trigger phase activations sequentially. Run the architect to design the system, use TDD to implement tests, invoke the coder for features, and finally use the reviewer to validate the implementation.

Multi-agent orchestration supports building microservices APIs by enabling teams to plan specifications, design architecture, implement tests, and deploy with integrated reviews. It accommodates complex projects requiring parallel execution and memory logs.

Managing TDD and code review in a multi-agent workflow is best handled through dedicated refinement and review phases. The TDD agent implements tests while the reviewer agent validates functionality, ensuring continuous documentation and persistent memory of decisions throughout the process.