sparc-methodology

Multi-agent orchestration coordinates complex software development workflows using the SPARC methodology across specification, pseudocode, architecture, refinement, and completion phases to enable parallel exploration and memory sharing across stakeholders.

The SPARC methodology is a structured framework that coordinates end-to-end software development across multiple agents and stages, applying modular phase definitions and diverse agent roles to reduce bottlenecks and miscommunication in large-scale projects.

To start a SPARC-driven workflow, initialize the orchestrator mode and sequentially deploy phases: researcher, architect, coder, tdd, reviewer, optimizer, and documenter to maintain governance and traceability throughout the software lifecycle.

Yes, multi-agent orchestration explicitly supports TDD and architecture refinement through dedicated agent roles including tdd, reviewer, and optimizer modes, ensuring systematic phase progression with clear success criteria.

You should use multi-agent orchestration for large-scale, highly collaborative software projects requiring traceability, governance, and repeatable deployment of development workflows across diverse stakeholders and parallel exploration tasks.

A structured multi-agent methodology introduces orchestration overhead and requires strict phase governance, making it less suitable for small, isolated tasks where lightweight development approaches or single-agent workflows are more efficient.