bmad-generate-project-context

To generate project context for AI agents, this workflow discovers your repository's technology stack and implementation patterns, outputting concise, actionable rules to a project-context.md file so agents implement code consistently.

An LLM-ready project context document is a centralized rules file that captures unobvious implementation details and critical agent rules, enabling AI agents to apply consistent, correct code patterns rather than inventing their own workflows.

You ensure AI agents follow existing code patterns by generating a centralized project-context.md file through collaborative, step-based discovery that extracts your stack, patterns, and critical rules without inventing new content.

Generating project context uses collaborative, step-based discovery to identify your stack and patterns from existing repository files, meaning it guides the extraction process interactively rather than requiring manual rule authoring.

The best way to create LLM governance rules is generating an LLM-optimized project context file that focuses on unobvious implementation details, ensuring agents write safe, consistent code by following extracted repository constraints and patterns.