sparc-methodology

Multi-agent workflows are coordinated using a structured five-phase methodology covering specification, architecture, refinement, completion, and review. This framework integrates memory and hooks to enforce governance, testing, and documentation guardrails across parallel agents.

The SPARC methodology is a structured, parallel, and complete framework for coordinating complex software projects. It enforces a standardized five-phase process—Specification, Architecture, Refinement, Completion, and Review—using TDD-driven architecture and multi-agent orchestration.

To start TDD-driven architecture, describe your initial task and run a sequence of modes including researcher, architect, coder, TDD, and reviewer. This sequence channels the five-phase methodology to build scalable software with built-in governance.

Yes, SPARC supports multi-agent orchestration by integrating memory and hooks. These features provide robust collaboration and enforce governance guardrails, ensuring standardized processing across the five software development phases.

A structured five-phase methodology is needed when coordinating complex, multi-agent software projects that require comprehensive governance. It ensures end-to-end completeness by enforcing TDD-driven architecture, memory integration, and documentation across all phases.

The best way to enforce governance is using a methodology that integrates memory, hooks, and TDD-driven architecture. This approach standardizes the five-phase workflow, ensuring parallel agents maintain robust collaboration and complete documentation.