bmad-create-architecture

You coordinate AI agents for architecture decisions by using a stepwise workflow that guides context analysis, decision making, and validation. This ensures consistent implementation and documentation across multiple agents.

Documenting architecture patterns and structure is best handled through a centralized workflow that captures decisions, data flows, and validation criteria step by step. This approach ensures alignment across all collaborating AI agents.

To validate architecture decisions before handoff, you execute a stepwise workflow that reviews deployment constraints, checks structural patterns, and confirms validation criteria. This process guarantees consistent implementation across agents.

This architecture workflow requires no external dependencies or components. You simply load the initial step file and confirm your project context to begin guiding AI agents through context discovery and decision making.

Yes, you can use this workflow to align requirements and data flows for robotics AI applications. Multiple agents coordinate architecture decisions to ensure deployment constraints and data structures are consistently implemented.

You need a stepwise architecture workflow for AI collaboration when your project requires multiple agents to design, review, and validate decisions together. This prevents inconsistency and ensures documented patterns are followed.