bmad-generate-project-context

Generate a project context document by scanning existing repository files to identify the technology stack, implementation patterns, and coding conventions. The output is a concise markdown file optimized for LLM use, capturing critical rules and constraints for AI agents.

AI coding rules are project-specific constraints and anti-patterns extracted from your codebase that guide LLMs to generate compliant code. They matter because they prevent AI agents from missing important framework versions, testing rules, and workflow constraints during code generation.

Yes, you can create an agent-facing context file for a Next.js project. The discovery workflow reads the repository structure and supporting files to identify framework patterns and compile a lean context document tailored for Next.js and similar codebases.

Extract code standards and technology stack details by applying a discovery workflow that reads repository files and identifies conventions. It compiles versions, testing rules, and workflow constraints into a structured project context document.

You should refresh your AI coding rules and project context file when a codebase is newly started or when the project's implementation patterns change. This ensures the agent-facing documentation accurately reflects the current stack and workflow constraints.