sparc-methodology

Multi-agent workflow orchestration coordinates parallel software development by assigning specialized roles like researcher, architect, coder, and tester to handle distinct tasks across the project lifecycle. It uses memory-based coordination to persist design decisions and results throughout the cycle.

To start a multi-agent workflow for feature development, launch an orchestrator to coordinate the process, then spawn required agent roles such as researcher, architect, coder, and tester. The system relies on shared memory to persist design decisions and results throughout the cycle.

The SPARC methodology is a modular, phase-driven framework for systematic software development that uses 17 specialized modes to enable end-to-end product delivery. It structures the lifecycle into specification, design, refinement, completion, and auditing phases.

Yes, you can use TDD and architecture modes together in a parallel development workflow. The framework provides 17 specialized modes including architect, coder, tdd, and tester, which an orchestrator coordinates to manage end-to-end product delivery with shared memory.

The best way to manage memory coordination across multiple development agents is to use a memory-manager mode within a structured lifecycle. This persists design decisions and results, allowing roles like researcher, architect, and coder to share context throughout the workflow.

You should use a swarm coordinator for software project orchestration when you need to manage complex, parallel development tasks across multiple specialized agents. It works alongside workflow-manager and batch-executor modes to coordinate complete software projects from research to deployment.