sparc-methodology

The SPARC methodology is a structured, parallel, and auditable framework for software development that manages end-to-end delivery across multiple agents to reduce cycle times and boost quality.

You coordinate multi-agent development workflows by decomposing high-level tasks into structured phases: specification, architecture, refinement, and completion, using parallel orchestration and shared memory for cross-session learning.

Yes, SPARC supports test-driven development workflows by applying a test-first approach across distinct modes including researcher, architect, coder, TDD, reviewer, optimizer, and documenter.

Yes, you can use SPARC methodology to manage software architecture planning and refinement through its dedicated architecture and refinement phases, which include memory integration for auditable design decisions.

The best way to automate code reviews in a multi-agent orchestration environment is using a structured methodology with a dedicated reviewer mode that performs rigorous reviews as part of the completion phase.

You should not use a multi-agent structured methodology like SPARC for simple, single-step tasks that do not require distinct specification, architecture planning, refinement, and completion phases to execute properly.