bmad-create-architecture

You can coordinate architecture decisions for AI agents by using a stepwise workflow with frontmatter-based state tracking. This ensures all agents implement a consistent, collaborative solution design through progressive decision capture and traceability.

Frontmatter-based state tracking is a mechanism that records the progression of architectural decisions step by step. It enforces template-driven document creation and tracks inputs, ensuring a complete and traceable architecture handoff for AI agents.

Create consistent architecture documentation by initializing a step-by-step decision workspace. The workflow enforces template-driven generation, loads input documents for context, and captures design decisions progressively to guide AI agents.

Yes, this approach applies directly to projects requiring collaborative workflows. It coordinates multiple participants through predefined steps, ensuring that architectural design decisions are captured consistently before final handoff.

Input document discovery and contextual loading are core features of the workflow. Loading relevant input documents informs your architectural decisions and ensures the final handoff provides necessary context for AI agents.

Use a stepwise architecture workflow when you need to ensure AI agents implement a consistent architecture. It prevents misalignment by enforcing template-driven documentation and predefined progression steps rather than relying on ad-hoc design.