gds-game-architecture

To convert a game design document into a scalable game architecture, you need an AI-guided workflow that translates GDD requirements into engine-specific knowledge blocks, project structures, and pattern designs. This ensures consistent architecture across your chosen game engine.

Yes, you can use this AI-assisted workflow to generate architecture for Unity, Unreal, Godot, or other engines. It provides explicit decision catalogs and reusable templates to ensure consistent project structure and pattern design across your specific platform.

The best way to create an AI-ready game architecture document is to use a workflow that encodes verification steps and knowledge fragments into frontmatter-tracked templates. This allows AI agents to reliably implement the architecture from your GDD.

An AI agent implements game architecture patterns from a GDD by following a collaborative decision-making workflow that outputs reproducible, frontmatter-tracked steps. This guides the AI through engine selection and pattern design to build the project structure reliably.

You need a described game design document to start the architecture workflow, as it serves as the input for generating the executable architecture document. The AI collaborates with you to co-create decisions, patterns, and project structure based on that GDD input.