bmad-generate-project-context

You can enforce consistent coding standards by generating a project-context.md file that documents exact technology versions, language-specific conventions, testing requirements, and critical anti-patterns for AI agents to follow.

AI coding assistants miss project-specific guardrails because they lack context. Generating a lean, LLM-optimized project context file eliminates inconsistent AI code generation by explicitly documenting your exact technology versions and anti-patterns.

The best way to create LLM-optimized project context is using a 3-step collaborative workflow that guides you through discovery, rule generation, and finalization to capture exact coding conventions and technology version requirements.

Yes, you can capture strict type requirements, component naming conventions, and testing standards for a React and TypeScript project so every AI coding tool follows the same rules across your codebase.

You generate a project context file through a collaborative workflow that captures your project's exact technology versions, language-specific conventions, testing rules, and critical anti-patterns, producing a lean markdown file for agent consumption.