bmad-generate-project-context

You can create a project context file by using a guided, step-based workflow that discovers your technology stack, patterns, and workflow rules, then generates a lean project-context.md. This file captures AI agent rules, ensuring uniform behavior across code-generation tasks.

A lean project context for LLM-assisted coding is a markdown file containing frontmatter-driven rules, technology stack details, and guardrails. It encodes AI agent rules and patterns to ensure uniform behavior, providing a template-based output that AI agents load during coding tasks.

You generate frontmatter-driven rules through a multi-step activation workflow that discovers your project details and finalizes a lean project-context.md. The frontmatter fields track sections for technology stack, patterns, and guardrails, which can be customized via a customize.toml file.

Yes, you can customize the generated project context using a customize.toml file. This allows you to tailor the captured technology stack, patterns, and AI guardrails to fit your specific collaborative development environment and coding workflow requirements.

The best way to ensure consistent AI behavior is to generate a standardized project-context.md encoding AI agent rules, patterns, and guardrails. By loading this lean, LLM-optimized context during implementation, teams guide code generation, reviews, and onboarding uniformly.

Yes, the project context generation workflow supports a multi-step activation process consisting of discover, generate, and complete phases. This structured workflow guides you from initial context discovery through to finalizing the lean project-context.md for AI agents.