gds-game-architecture

To generate a game architecture document from a GDD, you initiate a structured AI workflow that processes your game design document through nine sequential stages. This produces a complete, collaboration-driven architecture document covering engine selection and system design.

The BMAD nine-step workflow for game architecture design is a structured process guiding AI agents through Initialize, Context, Starter, Decisions, Cross-cutting, Structure, Patterns, Validation, and Complete stages to ensure a coherent and auditable architecture.

Yes, AI agents can collaborate on engine selection and architecture patterns using A/P/C menus for alignment. This workflow guides agents through explicit decision recording and cross-cutting pattern selection to ensure project coherence.

You track progress when creating game architecture with AI using frontmatter-based state tracking. This enforces stepwise progression and explicit decision records throughout the workflow, ensuring the architecture remains auditable and coherent.

You need a Game Design Document and any supporting documents to start the architecture workflow. Providing these inputs allows the AI agents to begin the nine-step process to shape your scalable game architecture.

The best way to structure a scalable game architecture with AI is applying a nine-step workflow that guides agents through cross-cutting patterns and structure decisions. This method ensures explicit decision recording and auditable architecture coherence.