bmad-create-architecture

To create a structured AI architecture workflow, use a stepwise discovery process with frontmatter state tracking and A/P/C collaboration menus to elicit, converge, and validate decisions across your team.

AI agent architecture becomes inconsistent without explicit versioning, pattern definitions, and boundary mappings to enable automated resolution and ensure consistent implementation across teams and runs.

Align architecture decisions with project context and PRDs by integrating starter templates and using collaboration menus to validate that your stepwise architectural designs match the established project requirements.

Start an architecture design session by initiating Step 1 to begin structured frontmatter state tracking, which guides your team through stepwise decision making with explicit context and validation.

Yes, you need explicit versioning, pattern definitions, and boundary mappings because they are required to enable automated resolution by AI agents during your architecture decision workflow.

Avoid a stepwise architecture decision workflow if your project lacks collaborative team members or does not require explicit context, pattern definitions, and validation for automated AI agent resolution.