gds-generate-project-context

You generate project context for AI agents by creating a structured project-context.md file that codifies technology stack discovery, engine-specific rules, performance guidelines, and anti-patterns to ensure consistent agent behavior.

A project-context.md file provides a lean, LLM-ready context that codifies engine patterns and coding conventions, guiding AI agents to maintain consistent behavior and avoid anti-patterns during software engineering tasks.

You codify engine patterns by running a stepwise workflow with A/P/C menus that covers code organization, testing, platform rules, and performance constraints, generating a structured Markdown file with frontmatter and usage guide.

Generating AI project context supports stepwise collaboration through A/P/C menus across discovery, rule generation, and completion phases, encouraging peer alignment and ensuring accuracy before agent action.

Coding conventions for game engineering AI agents should include technology stack discovery, engine-specific rules, code organization, performance constraints, testing protocols, platform rules, and defined anti-patterns.