sparc-methodology

Multi-agent orchestration coordinates software development by assigning named modes like researcher, architect, and coder to specific phases. This enables parallel execution and memory integration for knowledge sharing across the entire workflow, reducing cycle times.

The SPARC methodology is a systematic approach to software delivery spanning Specification, Architecture, Refinement, Completion, and Documentation phases. It coordinates multiple agents to ensure deterministic progression from requirements to deployment with built-in testing.

Structure a TDD workflow by progressing sequentially through defined phases: define requirements with the researcher mode, design with architect, implement tests with tdd, write code with coder, then review, optimize, and document to ensure quality and traceability.

Yes, the methodology supports parallel execution across agents. Memory-enabled cross-agent coordination allows simultaneous processing of tasks like architecture design and coding, accelerating delivery for complex projects while maintaining knowledge traceability.

Use a structured methodology when complex projects require deterministic progression from requirements to deployment. It provides built-in testing and structured reviews through phases like refinement and completion, raising quality and reducing cycle times.

No external dependencies are required. The methodology implements memory integration natively for cross-agent knowledge sharing and traceability, allowing teams of any size to activate flexible modes without prerequisite environment setup.