sparc-methodology

Multi-agent orchestration coordinates parallel agents across systematic development phases from specification to completion. It structures workflows using specialized modes like researcher, architect, coder, and reviewer to handle distinct tasks within a unified project lifecycle.

You coordinate TDD and architecture workflows by applying a phase-driven methodology spanning specification, pseudocode, architecture, refinement, and completion. This approach integrates rigorous testing and design reviews across cross-agent coordination for systematic assembly.

Yes, memory integration enables sharing context across agents and sessions. The memory-manager mode handles this by persisting information throughout the workflow, ensuring all orchestrated agents maintain a cohesive understanding of the project state.

The best way to structure phase-driven development is using the SPARC methodology, which sequences projects through specification, pseudocode, architecture, refinement, and completion. This framework ensures cross-agent coordination and best practices for TDD and deployment.

Yes, multi-agent orchestration supports optional modes specifically for reviewers and optimizers. These roles handle design reviews and performance refinement, ensuring end-to-end workflows maintain rigorous architecture patterns and quality standards before deployment.

You need parallel agent orchestration for larger teams and projects requiring rigorous TDD, design reviews, and systematic software assembly. It is essential when coordinating complex, multi-phase workflows from initial research through final deployment.