sparc-methodology

Multi-agent software development coordination is achieved by applying the SPARC framework to orchestrate specialized modes including researcher, architect, coder, and reviewer across structured workflow phases. This enables parallel execution, memory persistence, and thorough documentation throughout the delivery lifecycle.

A TDD workflow with parallel execution is structured using pattern-based orchestration modes like swarm-coordinator and batch-executor. These patterns manage parallel tasks while the memory-manager mode persists knowledge across sessions, ensuring tests and code remain synchronized throughout development.

Yes, multi-agent orchestration supports distributed team collaboration by mapping feature tasks to specialized agents such as researchers, architects, coders, testers, and reviewers. Memory persistence across sessions ensures knowledge sharing and reduces coordination friction among team members.

SPARC methodology supports architecture decision records and documentation workflows through dedicated documenter and architect modes. These modes generate ADRs and technical documentation automatically as part of the structured multi-phase framework, ensuring robust knowledge capture during development.

To initialize a hierarchical swarm, invoke core SPARC modes in sequence starting with specification and architecture phases, followed by refinement and completion. This orchestrator-driven approach implements features end-to-end by coordinating researchers, coders, testers, and reviewers in parallel.