sparc-methodology

The SPARC methodology is a structured, multi-agent software development approach covering Specification, Pseudocode, Architecture, Refinement, and Completion. It uses specialized AI agents to orchestrate tasks like research, architecture design, TDD implementation, and code review for systematic project execution.

You can use multi-agent orchestration for TDD implementation by activating specialized AI agents through MCP tools or CLI commands. The SPARC framework coordinates these agents to handle systematic test-driven development, from initial specification to final code refinement and deployment.

Yes, parallel execution with AI agents is supported in the SPARC development workflow. The methodology orchestrates multiple specialized agents simultaneously to handle distinct tasks like coding, testing, and architecture design, integrated with memory for context retention.

The best way to structure a project from specification to deployment is using a 5-phase methodology like SPARC. It progresses systematically through Specification, Architecture, Refinement, Review, and Completion, leveraging specialized agents for each lifecycle stage to improve efficiency and quality.

No, you do not strictly need MCP tools to run the SPARC development workflow. The methodology supports various activation methods, allowing you to orchestrate specialized AI agents and execute tasks via either MCP tools or standard CLI commands.