# BMAD-METHOD Agentic Agile Driven Development User Guide This comprehensive guide will help you understand and effectively use the BMad Method framework for AI-assisted software development. ## Table of Contents 1. [Understanding BMAD](#understanding-bmad) 2. [Getting Started](#getting-started) 3. [Agent System](#agent-system) 4. [Templates and Document Creation](#templates-and-document-creation) 5. [Development Workflow](#development-workflow) 6. [Team Configurations](#team-configurations) 7. [IDE Integration](#ide-integration) 8. [Web UI Usage](#web-ui-usage) 9. [Advanced Features](#advanced-features) 10. [Troubleshooting](#troubleshooting) 11. [Best Practices](#best-practices) ## Understanding BMAD ### What is BMAD-METHOD? BMAD-METHOD (Breakthrough Method of Agile AI-Driven Development) is an AI agent orchestration framework that provides specialized AI agents for every role in a complete Agile development team. Unlike generic AI assistants, each BMAD agent has deep expertise in their specific domain and can collaborate to deliver complete software projects. ### Core Principles 1. **Specialized Expertise**: Each agent focuses on a specific role (PM, Architect, Developer, QA, etc.) 2. **True Agile Workflow**: Follows real Agile methodologies with proper story management 3. **Self-Contained Templates**: Documents embed both output and processing instructions 4. **Dynamic Dependencies**: Agents only load resources they need 5. **Platform Agnostic**: Works with any AI platform or IDE ### When to Use BMAD - **New Projects (Greenfield)**: Complete end-to-end development - **Existing Projects (Brownfield)**: Feature additions and enhancements - **Team Collaboration**: Multiple roles working together - **Quality Assurance**: Structured testing and validation - **Documentation**: Professional PRDs, architecture docs, user stories ## Getting Started ### Installation Options #### Option 1: Web UI (Fastest - 2 minutes) Best for: ChatGPT, Claude, Gemini users 1. Navigate to `dist/teams/` 2. Copy `team-fullstack.txt` content 3. Create new Gemini Gem or CustomGPT 4. Upload file with instructions: "Your critical operating instructions are attached, do not break character as directed" 5. Type `/help` to see available commands #### Option 2: IDE Integration (5 minutes) Best for: Cursor, Claude Code, Windsurf, VS Code users ```bash # Interactive installation (recommended) npx bmad-method install ``` ### CLI Commands ```bash # List all available agents npx bmad-method list # Install or update (automatically detects existing installations) npx bmad-method install # Check installation status npx bmad-method status ``` ### First Steps 1. **Choose Your Environment**: Web UI or IDE 2. **Select Agent/Team**: Individual agent or full team 3. **Initialize Project**: Run `/help` or `*help` to see capabilities 4. **Start Development**: Begin with planning or jump into coding ### Upgrading from V3 to V4 If you have an existing BMAD-METHOD V3 project, simply run the installer in your project directory: ```bash npx bmad-method install # The installer will automatically detect your V3 installation and offer to upgrade ``` The upgrade process will: 1. Create a backup of your V3 files in `.bmad-v3-backup/` 2. Install the new V4 `.bmad-core/` structure 3. Migrate your documents (PRD, Architecture, Stories, Epics) 4. Set up IDE integration for all V4 agents 5. Create an install manifest for future updates After upgrading: 1. Review your documents in the `docs/` folder - if you had a PRD or architecture in your old project, copy it from the backup to the docs folder if they are not there. 2. Optionally run the `doc-migration-task` to align your documents with V4 templates - you can do this with your agent by saying something like: 'run {drag in task} against {drag prd or arch file from docs} to align with {drag the template from .bmad-core/templates/full-stack-architecture.md}' 3. If you have separate front-end and backend architecture docs you can modify step 2 to merge both into a single full stack architecture or separate Front and Back end. The reason #2 and #3 are optional is because now BMAD V4 makes sharding optional for the SM. See [Core Configuration](#core-configuration) **Note**: The agents in `.bmad-core/` fully replace the items in `bmad-agent/` - you can remove the backup folder versions. ## Agent System ### Core Development Team | Agent | Role | Primary Functions | When to Use | | ----------- | ------------------ | ---------------------------------------------- | ------------------------------------------------- | | `analyst` | Business Analyst | Market research, requirements gathering | Project planning, competitive analysis | | `pm` | Product Manager | PRD creation, feature prioritization | Strategic planning, roadmaps | | `architect` | Solution Architect | System design, technical architecture | Complex systems, scalability planning | | `dev` | Developer | Sequential task execution, testing, validation | Story implementation with test-driven development | | `qa` | QA Specialist | Code review, refactoring, test validation | Senior developer review via `review-story` task | | `ux-expert` | UX Designer | UI/UX design, prototypes | User experience, interface design | | `po` | Product Owner | Backlog management, story validation | Story refinement, acceptance criteria | | `sm` | Scrum Master | Sprint planning, story creation | Project management, workflow | ### Meta Agents | Agent | Role | Primary Functions | When to Use | | ------------------- | ---------------- | ------------------------------------- | --------------------------------- | | `bmad-orchestrator` | Team Coordinator | Multi-agent workflows, role switching | Complex multi-role tasks | | `bmad-master` | Universal Expert | All capabilities without switching | Single-session comprehensive work | ### How Agents Work #### Dependencies System Each agent has a YAML header defining its dependencies: ```yaml dependencies: templates: - prd-template.md - user-story-template.md tasks: - create-doc.md - shard-doc.md data: - bmad-kb.md ``` **Key Points:** - Agents only load resources they need (lean context) - Dependencies are automatically resolved during bundling - Resources are shared across agents to maintain consistency #### Agent Interaction **In IDE:** ```bash # Cursor or Windsurf (manual rules - loaded with @) @pm Create a PRD for a task management app @architect Design the system architecture @dev Implement the user authentication # Claude Code (files in commands folder - loaded with /) /pm Create user stories /dev Fix the login bug ``` **In Web UI:** ```text /pm create-doc prd /architect review system design /dev implement story 1.2 ``` ## Templates and Document Creation ### Understanding Templates BMAD templates are **self-contained and interactive** - they embed both the desired document output and the LLM instructions needed to work with users. This means no separate task is needed for most document creation. #### Template Structure Templates follow the `template-format.md` specification: - `{{placeholders}}` for variable substitution - `[[LLM: instructions]]` for AI-only processing directives - Conditional logic blocks - Examples and guidance sections #### Template Processing Flow 1. **User Request**: "Create a PRD" 2. **Agent Selection**: PM agent loads PRD template 3. **Interactive Processing**: Template guides conversation 4. **Content Generation**: AI follows embedded instructions 5. **User Refinement**: Built-in elicitation processes 6. **Final Output**: Complete, professional document ### Document Types #### Product Requirements Document (PRD) - **Template**: `prd-template.md` - **Agent**: PM - **Use Case**: Feature specification, project planning - **Command**: `/pm create-doc prd` - **💡 Cost-Saving Tip**: For Gemini users, create PRDs in the web UI to avoid high IDE token costs. Copy the final markdown output to `docs/prd.md` in your project. #### Architecture Documents - **Template**: `architecture-template.md` - **Agent**: Architect - **Use Case**: System design, technical planning - **Command**: `/architect create-doc architecture` - **💡 Cost-Saving Tip**: For Gemini users, create architecture docs in the web UI to avoid high IDE token costs. Copy the final markdown output to `docs/architecture.md` in your project. #### User Stories - **Template**: `user-story-template.md` - **Agent**: SM (Scrum Master) - **Use Case**: Development planning, sprint preparation - **Command**: `/sm create-doc user-story` ### Document Creation Best Practices #### Web UI to IDE Workflow (Recommended for Gemini) For cost efficiency, especially with Gemini: 1. **Create Large Documents in Web UI**: Use web bundles for PRD and architecture creation 2. **Copy to Project**: Save the final markdown output to your project's `docs/` folder 3. **Standard Naming**: Use `prd.md` and `architecture.md` for consistency 4. **Continue in IDE**: Use IDE agents for development tasks and smaller documents #### File Naming Conventions **Required Names for Framework Integration:** - `docs/prd.md` - Product Requirements Document - `docs/architecture.md` - System Architecture Document **Why These Names Matter:** - Agents automatically reference these files during development - Sharding tasks expect these specific filenames - Workflow automation depends on standard naming #### IDE Document Creation When working directly in IDEs: - Agents should create documents in `docs/` folder automatically - If agents name files differently (e.g., `product-requirements.md`), rename to `prd.md` - Verify document location matches `docs/prd.md` and `docs/architecture.md` ### Advanced Template Features #### Embedded Elicitation Templates can include `advanced-elicitation.md` for enhanced interaction: ```markdown [[LLM: Use advanced-elicitation actions 0-3 to refine requirements]] ``` This provides 10 structured brainstorming actions: - 0-3: Analysis and brainstorming - 4-6: Refinement and validation - 7-9: Review and finalization #### Interactive Modes - **Incremental Mode**: Step-by-step with user input - **YOLO Mode**: Rapid generation with minimal interaction ## Development Workflow ### The Planning Workflow (Web UI) Before development begins, BMAD follows a structured planning workflow that's ideally done in web UI for cost efficiency: ```mermaid graph TD A["Start: Project Idea"] --> B{"Optional: Analyst Brainstorming"} B -->|Yes| C["Analyst: Market Research & Analysis"] B -->|No| D["Create Project Brief"] C --> D["Analyst: Create Project Brief"] D --> E["PM: Create PRD from Brief"] E --> F["Architect: Create Architecture from PRD"] F --> G["PO: Run Master Checklist"] G --> H{"Documents Aligned?"} H -->|Yes| I["Planning Complete"] H -->|No| J["PO: Update Epics & Stories"] J --> K["Update PRD/Architecture as needed"] K --> G I --> L["📁 Switch to IDE"] L --> M["PO: Shard Documents"] M --> N["Ready for SM/Dev Cycle"] style I fill:#34a853,color:#fff style G fill:#f9ab00,color:#fff style L fill:#1a73e8,color:#fff style N fill:#34a853,color:#fff ``` #### Web UI to IDE Transition **Critical Transition Point**: Once the PO confirms document alignment, you must switch from web UI to IDE to begin the development workflow: 1. **Copy Documents to Project**: Ensure `docs/prd.md` and `docs/architecture.md` are in your project 2. **Switch to IDE**: Open your project in your preferred IDE (Cursor, Claude Code, Windsurf) 3. **Document Sharding**: Use PO agent to shard large documents into manageable pieces 4. **Begin Development**: Start the SM/Dev cycle for implementation ### The Core Development Cycle (IDE) Once planning is complete and documents are sharded, BMAD follows a structured development workflow: ```mermaid graph TD A["Development Phase Start"] --> B["SM: Reviews Previous Story Dev/QA Notes"] B --> B2["SM: Drafts Next Story from Sharded Epic + Architecture"] B2 --> C{"User Approval"} C -->|Approved| D["Dev: Sequential Task Execution"] C -->|Needs Changes| B2 D --> E["Dev: Implement Tasks + Tests"] E --> F["Dev: Run All Validations"] F --> G["Dev: Mark Ready for Review + Add Notes"] G --> H{"User Verification"} H -->|Request QA Review| I["QA: Senior Dev Review + Active Refactoring"] H -->|Approve Without QA| K["Mark Story as Done"] I --> J["QA: Review, Refactor Code, Add Tests, Document Notes"] J --> L{"QA Decision"} L -->|Needs Dev Work| D L -->|Approved| K H -->|Needs Fixes| D K --> B style K fill:#34a853,color:#fff style I fill:#f9ab00,color:#fff style J fill:#ffd54f,color:#000 style E fill:#e3f2fd,color:#000 style B fill:#e8f5e9,color:#000 ``` ### Workflow Phases #### 1. Planning Phase - **Analyst**: Market research, competitive analysis - **PM**: Create PRD, define features - **Architect**: System design, technical architecture - **UX Expert**: User experience design #### 2. Preparation Phase - **PO**: Shard epics into manageable stories - **PO**: Shard architecture into implementation tasks - **SM**: Prepare initial story backlog #### 3. Development Phase (Cyclical) - **SM**: Draft next story from sharded epic - **User**: Review and approve story - **Dev**: Sequential task execution: - Reads each task in the story - Implements code for the task - Writes tests alongside implementation - Runs validations (linting, tests) - Updates task checkbox [x] only if all validations pass - Maintains Debug Log for temporary changes - Updates File List with all created/modified files - **Dev**: After all tasks complete: - Runs integration tests (if specified) - Runs E2E tests (if specified) - Validates Definition of Done checklist - Marks story as "Ready for Review" - **User**: Verify implementation - **Optional QA Review**: User can request QA to run `review-story` task - **Repeat**: Until all stories complete #### Dev Agent Workflow Details The Dev agent follows a strict test-driven sequential workflow: **Key Behaviors:** - **Story-Centric**: Works only from the story file, never loads PRD/architecture unless specified in dev notes - **Sequential Execution**: Completes tasks one by one, marking [x] only after validations pass - **Test-Driven**: Writes tests alongside code for every task - **Quality Gates**: Never marks tasks complete if validations fail - **Debug Logging**: Tracks temporary changes in the story's Debug Log table - **File Tracking**: Maintains complete File List of all created/modified files **Blocking Conditions:** The Dev agent will stop and request help if: - Story is not approved - Requirements are ambiguous after checking the story - Validations fail 3 times for the same task - Critical configuration files are missing - Automated tests or linting fails #### 4. Quality Assurance Integration The QA agent plays a crucial role after development: - **When Dev marks "Ready for Review"**: Story is ready for user verification - **User Options**: - **Direct Approval**: If satisfied, mark story as "Done" - **Request Changes**: Send back to Dev with specific feedback - **Request QA Review**: Ask QA to run the `review-story` task for senior developer review - **QA Review Process** (`/qa run review-story`): - Reviews code as a senior developer with authority to refactor - **Active Refactoring**: Makes improvements directly in the code - **Comprehensive Review Focus**: - Code architecture and design patterns - Refactoring opportunities and code duplication - Performance optimizations and security concerns - Best practices and patterns - **Standards Compliance**: Verifies adherence to: - `docs/coding-standards.md` - `docs/unified-project-structure.md` - `docs/testing-strategy.md` - **Test Coverage Review**: Can add missing tests if critical coverage is lacking - **Documentation**: Adds comments for complex logic if missing - **Results Documentation** in story's QA Results section: - Code quality assessment - Refactoring performed with WHY and HOW explanations - Compliance check results - Improvements checklist (completed vs. pending items) - Security and performance findings - Final approval status ### Understanding the SM/Dev/QA Story Workflow The story file is the central artifact that enables seamless collaboration between the Scrum Master (SM), Developer (Dev), and Quality Assurance (QA) agents. Here's how they work together: #### Why We Have the Scrum Master The SM agent serves as a critical bridge between high-level planning and technical implementation: 1. **Document Synthesis**: Reads sharded PRD epics and architecture documents to extract relevant technical details 2. **Story Enrichment**: Creates self-contained stories with all technical context needed for implementation 3. **Continuous Learning**: Uses notes from previous stories to improve future story preparation 4. **Developer Efficiency**: Ensures developers have everything needed without searching multiple documents #### The Story Creation Process When the SM agent executes the `create-next-story` task: 1. **Loads Configuration**: Reads `core-config.yaml` to understand project structure 2. **Identifies Next Story**: Sequentially processes stories from epics (1.1, 1.2, 2.1, etc.) 3. **Gathers Architecture Context**: Reads relevant sharded architecture documents based on story type: - Backend stories: data models, API specs, database schemas - Frontend stories: component specs, UI patterns, workflows - Full-stack: both backend and frontend documents 4. **Reviews Previous Story**: Extracts Dev and QA notes to learn from past implementation #### The Story Template Structure The story template contains embedded LLM instructions for different agents: **SM Agent Instructions**: - Populate Dev Notes with specific technical details from architecture - Include source references for all technical guidance - Create detailed tasks based on architecture constraints - Add testing requirements from testing strategy **Dev Agent Instructions**: - Update Debug Log References during implementation - Document any deviations in Completion Notes - Maintain comprehensive File List of all changes - Track requirement changes in Change Log **QA Agent Instructions**: - Append review results in QA Results section - Document refactoring performed with explanations - Note security and performance considerations #### How Agents Pass Information ##### SM → Dev Flow The SM prepares the story with: - **Dev Notes**: Specific technical guidance extracted from architecture - **Testing Requirements**: Unit, integration, and E2E test specifications - **Tasks/Subtasks**: Detailed implementation steps with AC mappings ##### Dev → SM Flow The Dev agent provides feedback through: - **Completion Notes**: Deviations or discoveries that impact future stories - **Debug Log References**: Technical challenges and solutions - **File List**: Complete inventory of created/modified files - **Change Log**: Any requirement modifications during development ##### QA → SM Flow The QA agent contributes: - **Code Quality Assessment**: Senior developer perspective on implementation quality - **Refactoring Performed**: Direct code improvements with: - What was changed - Why the change was made - How it improves the code - **Compliance Results**: Verification against coding standards, project structure, and testing strategy - **Test Coverage**: Added tests for critical missing coverage - **Security Review**: Any security concerns found and whether addressed - **Performance Considerations**: Performance issues found and optimizations made - **Improvements Checklist**: Items completed (marked [x]) vs. items for Dev to address (marked [ ]) - **Learning Opportunities**: Explanations for junior/mid-level developer growth #### Example: How Notes Flow Between Stories **Story 1.1 Completion**: ```markdown ### Completion Notes List - Discovered that user authentication requires additional session management not specified in architecture - Created new SessionManager service in services/auth/session-manager.ts - Recommend updating architecture to include session management patterns ``` **Story 1.2 Creation** (SM uses the above notes): ```markdown ## Dev Notes ### Previous Story Insights - Story 1.1 created SessionManager service for auth (services/auth/session-manager.ts) - Consider using SessionManager for this story's user profile feature - Architecture update pending for session management patterns ``` This continuous feedback loop ensures each story benefits from lessons learned in previous implementations. #### QA Agent Key Principles When the QA agent performs the review-story task: - **Senior Developer Authority**: Reviews as a senior developer with authority to refactor directly - **Active Improvement**: Makes code improvements rather than just identifying issues - **Teaching Focus**: Explains all changes for developer learning and growth - **Pragmatic Balance**: Focuses on significant improvements, not nitpicks - **Quality Gates**: Can block story completion if critical issues exist **QA Blocking Conditions**: The QA will stop and request clarification if: - Story file is incomplete or missing critical sections - File List is empty or clearly incomplete - No tests exist when they were required - Code changes don't align with story requirements - Critical architectural issues require discussion - **Benefits of QA Review**: - Code quality improvements and refactoring - Knowledge transfer through documented explanations - Catching edge cases and security issues - Ensuring architectural consistency ### Workflow Types #### Greenfield Development For new projects: 1. Business analysis and market research 2. Product requirements and feature definition 3. System architecture and design 4. Development execution 5. Testing and deployment #### Brownfield Enhancement For existing projects: 1. Current system analysis 2. Enhancement planning 3. Impact assessment 4. Incremental development 5. Integration testing ## Team Configurations ### Pre-Built Teams #### Team All - **Includes**: All 10 agents + orchestrator - **Use Case**: Complete projects requiring all roles - **Bundle**: `team-all.txt` #### Team Fullstack - **Includes**: PM, Architect, Developer, QA, UX Expert - **Use Case**: End-to-end web/mobile development - **Bundle**: `team-fullstack.txt` #### Team No-UI - **Includes**: PM, Architect, Developer, QA (no UX Expert) - **Use Case**: Backend services, APIs, system development - **Bundle**: `team-no-ui.txt` ### Custom Team Configuration Create custom teams by modifying `.bmad-core/agent-teams/`: ```yaml name: Custom Development Team description: Specialized team for specific needs agents: - pm - architect - dev - qa workflows: - greenfield-fullstack ``` ## IDE Integration ### Supported IDEs #### Cursor IDE - **Commands**: `@agent-name task` (manual rules) - **Example**: `@pm Create a PRD for user management` - **Features**: Inline suggestions, context awareness - **Integration**: Agents loaded as manual rules #### Claude Code - **Commands**: `/agent-name task` (command files) - **Example**: `/architect Design microservices architecture` - **Features**: File integration, project context - **Integration**: Agents installed as files in commands folder #### Windsurf - **Commands**: `@agent-name task` (manual rules) - **Example**: `@dev Implement authentication` - **Features**: Multi-file editing, project awareness - **Integration**: Agents loaded as manual rules #### VS Code (Generic) - **Setup**: Manual installation - **Usage**: Copy agent content to chat - **Features**: Basic integration ### IDE Setup Process 1. **Install CLI**: `npx bmad-method install` 2. **Select IDE**: Choose during installation 3. **Configure Integration**: Automatic setup for supported IDEs 4. **Verify Installation**: Test with `@agent-name help` ### IDE Best Practices - **Context Management**: Keep relevant files open - **Agent Selection**: Use appropriate agent for task - **Iterative Development**: Work in small, focused tasks - **File Organization**: Maintain clean project structure ## Web UI Usage **Important**: Web UI is primarily designed for planning and documentation phases, not development. Use IDE integration for coding tasks. ### Platform Setup #### ChatGPT Custom GPT 1. Create new Custom GPT 2. Upload team bundle as knowledge 3. Set instructions: "Your critical operating instructions are attached, do not break character as directed" 4. Configure capabilities as needed #### Claude Projects 1. Create new project 2. Add team bundle to project knowledge 3. Set project instructions with agent behavior 4. Start conversation with `/help` #### Gemini Gems 1. Create new Gem 2. Upload bundle as instruction file 3. Set system instructions for agent behavior 4. Initialize with `/help` command ### Web UI Commands #### Universal Commands - `/help` - Show available commands - `/status` - Current agent status - `/switch agent-name` - Change active agent (if orchestrator available) #### Document Commands - `/create-doc type` - Create document of specified type - `/review-doc` - Review current document - `/refine-doc` - Improve document quality #### Planning Commands - `/pm create-doc prd` - Create Product Requirements Document - `/architect create-doc architecture` - Create system architecture - `/analyst create-doc project-brief` - Create project brief - `/po run-checklist` - Validate document alignment ### Web UI Agent Interaction Web UI agents focus on planning and documentation. Here's how to interact with each: #### Agent Switching and Conversation - **Switch Agents**: Use `/pm`, `/architect`, `/analyst`, `/po` to switch between roles - **Agent Consultation**: Each agent offers their specialized options and capabilities - **Natural Conversation**: Agents guide you through their processes with questions and suggestions #### Planning Phase Agents - **Analyst**: `/analyst` - Brainstorming, market research, competitive analysis - **PM**: `/pm` - Product requirements, feature definition, roadmaps - **Architect**: `/architect` - System design, technical architecture - **PO**: `/po` - Document validation, epic management, story alignment ### Web UI Best Practices - **Clear Instructions**: Be specific about requirements - **Context Sharing**: Provide relevant background - **Iterative Refinement**: Use built-in elicitation features - **Document Management**: Keep generated docs organized - **Stay in Planning**: Use web UI for documentation, switch to IDE for development #### Cost-Effective Document Creation **Recommended Workflow for Large Documents:** 1. **Use Web UI for PRD and Architecture**: These are token-heavy documents, especially in Gemini 2. **Copy Final Output**: Save complete markdown to your project 3. **Standard File Names**: - Save PRD as `docs/prd.md` - Save Architecture as `docs/architecture.md` 4. **IDE for Development**: Switch to IDE agents for implementation tasks **Why This Saves Money:** - Web UI pricing is typically more cost-effective for large context windows - PRD and architecture creation involves extensive back-and-forth refinement - IDE token costs can accumulate quickly with large document generation ## Advanced Features ### Dynamic Resource Loading BMad's dependency system ensures agents only load necessary resources: - **Templates**: Only relevant document templates - **Tasks**: Only required automation tasks - **Data**: Only pertinent knowledge base sections - **Checklists**: Only applicable quality checks ### Custom Templates Create custom templates following `template-format.md`: ```markdown --- title: Custom Template description: Your custom document type dependencies: - advanced-elicitation.md --- # {{document_title}} [[LLM: Guide user through custom process]] ## Section 1 {{section_1_content}} [[LLM: Use elicitation action 2 for refinement]] ## Section 2 {{section_2_content}} ``` ### Workflow Customization Modify workflows in `.bmad-core/workflows/`: ```yaml name: Custom Workflow type: development phases: planning: agents: - analyst - pm deliverables: - market-research - prd architecture: agents: - architect deliverables: - system-design development: agents: - dev - qa deliverables: - implementation - tests ``` ### Creating Custom Templates Templates are self-contained documents that embed both output structure and processing instructions. Follow these patterns from existing templates: #### Template Structure Example ```markdown # {{Project Name}} Document Title [[LLM: Opening instruction for AI processing]] ## Level 2 Section (Shardable) [[LLM: Section-specific instructions with embedded tasks]] ### Level 3 Subsection [[LLM: Detailed processing instructions]] {{placeholder_variable}} @{example: Example content for AI guidance} ^^CONDITION: condition_name^^ ## Conditional Section [[LLM: Only include if condition is met]] ^^/CONDITION^^ ``` #### Key Template Patterns **Variable Substitution:** - `{{Project Name}}` - Dynamic project name - `{{document_title}}` - Document-specific title - `{{section_content}}` - Placeholder for generated content **AI Processing Instructions:** - `[[LLM: Instructions for AI behavior]]` - AI-only processing directives - `@{example: Sample content}` - Guidance examples (not output) - `tasks#advanced-elicitation` - Reference to embedded tasks **Conditional Content:** ```markdown ^^CONDITION: has_ui^^ ## User Interface Section [[LLM: Only include for UI projects]] ^^/CONDITION^^ ``` #### Document Sharding Level 2 headings (`##`) in templates can be automatically sharded into separate documents: **Original PRD:** ```markdown ## Goals and Background Context ## Requirements ## User Interface Design Goals ## Success Metrics ``` **After Sharding:** - `docs/prd/goals-and-background-context.md` - `docs/prd/requirements.md` - `docs/prd/user-interface-design-goals.md` - `docs/prd/success-metrics.md` Use the `shard-doc` task or `@kayvan/markdown-tree-parser` tool for automatic sharding. ### Creating Custom Tasks Tasks are reusable automation instructions that agents can execute. They follow a structured format: #### Task Structure ```markdown # Task Name ## Purpose - Clear description of what the task accomplishes - When to use this task ## Instructions ### 1. Step One - Detailed instructions for the agent - Specific behaviors and outputs expected ### 2. Step Two - Additional processing steps - Integration with other resources ## Examples @{example: Concrete usage examples} ``` #### Task Patterns **Resource Integration:** ```markdown [[LLM: Check if docs/coding-standards.md exists and reference it]] [[LLM: Load docs/openapi-spec.yaml for API context]] ``` **Advanced Elicitation:** ```markdown [[LLM: Apply tasks#advanced-elicitation protocol after completion]] ``` **Conditional Logic:** ```markdown [[LLM: If project has UI components, also check frontend standards]] ``` ### Creating Custom Agents Custom agents combine persona, capabilities, and dependencies into specialized roles: #### Agent Structure ```yaml agent: name: Custom Agent Name id: custom-agent title: Specialized Role Title icon: 🎯 whenToUse: Specific use case description persona: role: Primary role definition style: Communication style and approach identity: Core identity and expertise focus: Primary areas of concentration startup: - Announcement message - Initial context loading instructions - User guidance commands: - Available slash commands - Command descriptions dependencies: templates: - custom-template.md tasks: - custom-task.md data: - domain-knowledge.md ``` #### Agent Startup Instructions Agents can load project-specific documents and provide custom context: ```yaml startup: - Load docs/coding-standards.md if available - Review docs/project-structure.md for context - Check for docs/third-party-apis/ folder - Announce specialized capabilities ``` #### Loading Project Documents Agents can reference and load documents from the `docs/` folder: - **Coding Standards**: `docs/coding-standards.md` - **API Specifications**: `docs/openapi-spec.yaml` - **Project Structure**: `docs/project-structure.md` - **Third-party APIs**: `docs/third-party-apis/` - **Architecture Decisions**: `docs/architecture-decisions/` #### Context Integration ```markdown [[LLM: Before beginning, check for and load relevant context: - docs/coding-standards.md for development standards - docs/brand-guidelines.md for design consistency - docs/third-party-apis/ for integration requirements - Any project-specific documentation in docs/ folder]] ``` ### Technical Preferences System BMAD includes a powerful personalization system through the `technical-preferences.md` file located in `.bmad-core/data/`. #### What is technical-preferences.md? This file allows you to define your preferred technologies, patterns, and standards once, then have agents automatically consider them across all projects. It acts as your personal technical profile that travels with your agent bundles. #### What to Include **Technology Stack Preferences:** ```markdown ## Preferred Technologies ### Frontend - React with TypeScript - Tailwind CSS for styling - Next.js for full-stack applications ### Backend - Node.js with Express - PostgreSQL for relational data - Redis for caching ### Deployment - Vercel for frontend - Railway for backend services ``` **Design Patterns & Standards:** ```markdown ## Code Standards - Use functional programming patterns where possible - Prefer composition over inheritance - Always include comprehensive error handling - Write tests for all business logic ## Architecture Preferences - Microservices for complex applications - RESTful APIs with OpenAPI documentation - Event-driven architecture for real-time features ``` **External Services & APIs:** ```markdown ## Preferred External Services - Auth0 for authentication - Stripe for payments - SendGrid for email - Cloudinary for image processing ## APIs to Avoid - Legacy SOAP services - Services without proper documentation ``` #### How Agents Use This File **Automatic Suggestions**: Agents will suggest your preferred technologies when appropriate for the project requirements. **Informed Alternatives**: If your preferences don't fit the project, agents explain why and suggest alternatives. **Consistency**: All agents reference the same preferences, ensuring consistent recommendations across planning and development. #### Building Your Preferences Over Time **Learning and Evolution**: As you work on projects, add discoveries to your preferences file: ## Lessons Learned - Avoid using Library X for large datasets (performance issues) - Pattern Y works well for real-time features - Service Z has excellent documentation and support ## Future Exploration - Want to try Framework A on next appropriate project - Interested in Pattern B for microservices - Consider Service C for better performance ### Using with Web Bundles When creating custom web bundles or uploading to AI platforms, include your `technical-preferences.md` content to ensure agents have your preferences from the start of any conversation. ### Core Configuration The `bmad-core/core-config.yaml` file is a critical V4 innovation that enables BMAD to work seamlessly with any project structure, providing maximum flexibility and backwards compatibility. #### Understanding core-config.yaml This configuration file acts as a map for BMAD agents, telling them exactly where to find your project documents and how they're structured. It's what makes V4 agents intelligent enough to work with V3 projects, custom layouts, or any document organization you prefer. #### Configuration Structure ```yaml coreProjectLocation: devStoryLocation: docs/stories # Where completed stories are saved prd: prdFile: docs/prd.md prdVersion: v4 # v3 or v4 prdSharded: true # false if epics are embedded in PRD prdShardedLocation: docs/prd # Where sharded epics live epicFilePattern: epic-{n}*.md # Pattern for epic files architecture: architectureFile: docs/architecture.md architectureVersion: v4 # v3 or v4 architectureSharded: true # false if monolithic architectureShardedLocation: docs/architecture customTechnicalDocuments: null # Additional docs for SM devLoadAlwaysFiles: # Files dev agent always loads - docs/architecture/coding-standards.md - docs/architecture/tech-stack.md - docs/architecture/project-structure.md devDebugLog: .ai/debug-log.md # Dev agent debug tracking agentCoreDump: .ai/core-dump{n}.md # Export chat contents ``` #### Key Configuration Options ##### PRD Configuration The Scrum Master agent uses these settings to locate epics: **V4 Sharded Structure:** ```yaml prd: prdFile: docs/prd.md prdVersion: v4 prdSharded: true prdShardedLocation: docs/prd epicFilePattern: epic-{n}*.md ``` **V3 Embedded Epics:** ```yaml prd: prdFile: docs/prd.md prdVersion: v3 prdSharded: false # Epics are inside PRD ``` **Custom Sharded Location:** ```yaml prd: prdFile: docs/product-requirements.md prdVersion: v4 prdSharded: true prdShardedLocation: docs # Epics in docs/ not docs/prd/ epicFilePattern: epic-*.md ``` ##### Architecture Configuration Similar flexibility for architecture documents: **V4 Sharded Architecture:** ```yaml architecture: architectureFile: docs/architecture.md architectureVersion: v4 architectureSharded: true architectureShardedLocation: docs/architecture ``` **V3 Monolithic Architecture:** ```yaml architecture: architectureFile: docs/technical-architecture.md architectureVersion: v3 architectureSharded: false # All in one file ``` ##### Developer Context Files Define which files the dev agent should always load: ```yaml devLoadAlwaysFiles: - docs/architecture/coding-standards.md - docs/architecture/tech-stack.md - docs/architecture/project-structure.md - docs/api-contracts.yaml - docs/database-schema.md - .env.example ``` This ensures the dev agent always has critical context without needing to search for it. ##### Debug and Export Options **Debug Log:** ```yaml devDebugLog: .ai/debug-log.md ``` When the dev agent encounters repeated failures implementing a story, it logs issues here to avoid repeating the same mistakes. **Core Dump:** ```yaml agentCoreDump: .ai/core-dump{n}.md ``` Export entire chat conversations for preservation or analysis. The `{n}` is replaced with a number. #### Common Configurations ##### Legacy V3 Project ```yaml coreProjectLocation: devStoryLocation: docs/stories prd: prdFile: docs/prd.md prdVersion: v3 prdSharded: false architecture: architectureFile: docs/architecture.md architectureVersion: v3 architectureSharded: false devLoadAlwaysFiles: [] ``` ##### Hybrid Project (V3 PRD, V4 Architecture) ```yaml coreProjectLocation: devStoryLocation: .ai/stories prd: prdFile: docs/product-requirements.md prdVersion: v3 prdSharded: false architecture: architectureFile: docs/architecture.md architectureVersion: v4 architectureSharded: true architectureShardedLocation: docs/architecture devLoadAlwaysFiles: - docs/architecture/tech-stack.md ``` ##### Custom Organization ```yaml coreProjectLocation: devStoryLocation: development/completed-stories prd: prdFile: planning/requirements.md prdVersion: v4 prdSharded: true prdShardedLocation: planning/epics epicFilePattern: requirement-{n}.md architecture: architectureFile: technical/system-design.md architectureVersion: v4 architectureSharded: true architectureShardedLocation: technical/components customTechnicalDocuments: - technical/api-guide.md - technical/deployment.md devLoadAlwaysFiles: - technical/coding-guidelines.md - technical/git-workflow.md ``` #### Migration Strategies ##### Gradual V3 to V4 Migration Start with V3 documents and gradually adopt V4 patterns: 1. **Initial State**: Set `prdVersion: v3` and `prdSharded: false` 2. **Shard PRD**: Use PO agent to shard, then update to `prdSharded: true` 3. **Update Version**: Change to `prdVersion: v4` after using V4 templates 4. **Repeat for Architecture**: Same process for architecture documents ##### Working with Mixed Teams If some team members use V3 and others use V4: ```yaml # Support both patterns customTechnicalDocuments: - docs/legacy-requirements.md # V3 format - docs/prd.md # V4 format ``` #### Best Practices 1. **Always Configure for Your Structure**: Don't force your project to match BMAD defaults 2. **Keep devLoadAlwaysFiles Focused**: Only include files needed for every dev task 3. **Use Debug Log**: Enable when troubleshooting story implementation issues 4. **Version Control core-config.yaml**: Track changes to understand project evolution 5. **Document Custom Patterns**: If using custom epicFilePattern, document it #### Troubleshooting **Scrum Master Can't Find Epics:** - Check `prdSharded` matches your structure - Verify `prdShardedLocation` path exists - Confirm `epicFilePattern` matches your files **Dev Agent Missing Context:** - Add critical files to `devLoadAlwaysFiles` - Ensure file paths are correct - Check files exist and are readable **Architecture Not Loading:** - Verify `architectureFile` path - Check `architectureVersion` setting - Confirm sharding configuration matches reality ### Extension Packs Add specialized capabilities: - **DevOps Pack**: CI/CD, deployment automation - **Mobile Pack**: iOS/Android development - **Data Pack**: Analytics, ML integration - **Security Pack**: Security analysis, compliance ## Troubleshooting Guide ### Common Issues #### Agent Not Responding - **Cause**: Incorrect agent name or command - **Solution**: Check available agents with `/help` - **Prevention**: Use tab completion in supported IDEs #### Template Errors - **Cause**: Malformed template syntax - **Solution**: Validate against `template-format.md` - **Prevention**: Use provided templates as starting point #### Context Overload - **Cause**: Too many dependencies loaded - **Solution**: Use specific agents instead of `bmad-master` - **Prevention**: Choose appropriate team size #### Installation Issues - **Cause**: Node.js version, permissions - **Solution**: Update Node.js, check permissions - **Prevention**: Use recommended Node.js version (14+) ### Debugging Steps 1. **Check Installation**: `npx bmad-method status` 2. **Verify Agent**: Test with simple command 3. **Review Dependencies**: Ensure required files exist 4. **Clear Cache**: Restart IDE/browser 5. **Reinstall**: `npx bmad-method install --force` ### Getting Help - **Discord Community**: [Join Discord](https://discord.gg/g6ypHytrCB) - **GitHub Issues**: [Report bugs](https://github.com/bmadcode/bmad-method/issues) - **Documentation**: [Browse docs](https://github.com/bmadcode/bmad-method/tree/main/docs) - **YouTube**: [BMadCode Channel](https://www.youtube.com/@BMadCode) ## Best Practices and Tips ### Project Organization #### Folder Structure ```text project/ ├── .bmad-core/ # BMAD agents and resources ├── docs/ # Generated documentation │ ├── prd.md │ ├── architecture.md │ └── stories/ ├── src/ # Source code └── tests/ # Test files ``` #### Document Management - Keep generated docs in `docs/` folder - Version control all BMAD-generated content - Regular backups of `.bmad-core/` customizations ### Recommended Development Flow #### Planning Phase 1. **Start with Analysis**: Use analyst for market research 2. **Create PRD**: PM agent for comprehensive requirements 3. **Design Architecture**: Architect for technical foundation 4. **Plan UX**: UX Expert for user experience #### Development Phase 1. **Shard Work**: PO to break down epics 2. **Story Development**: SM for manageable tasks 3. **Implementation**: Dev for coding 4. **Quality Assurance**: QA for testing #### Review Process 1. **Code Review**: Dev agent for code quality 2. **Functional Testing**: QA for feature validation 3. **User Acceptance**: PO for business requirements 4. **Documentation**: Update docs as needed ### Quality Assurance #### Code Quality - Use dev agent for code reviews - Implement suggested improvements - Follow established coding standards - Regular refactoring sessions #### Documentation Standards - Keep docs updated with changes - Use templates for consistency - Regular doc reviews with PO - Clear, actionable user stories #### Process Quality - Follow Agile ceremonies - Regular retrospectives - Continuous improvement - Stakeholder feedback integration ### Performance Optimization #### Context Management - Use specific agents vs. bmad-master - Minimal team configurations - Regular dependency cleanup - Archive completed projects #### Resource Efficiency - Appropriate bundle sizes - Selective agent usage - Efficient template design - Regular cache clearing ## Conclusion BMAD-METHOD provides a comprehensive framework for AI-assisted software development. By following this guide, you'll be able to: - Effectively use specialized AI agents - Create professional documentation - Follow structured development workflows - Integrate with your preferred tools - Maintain high quality standards Remember: BMAD is designed to enhance your development process, not replace your expertise. Use it as a powerful tool to accelerate your projects while maintaining control over design decisions and implementation details. --- For additional support, join our [Discord community](https://discord.gg/g6ypHytrCB) or check out the [YouTube channel](https://www.youtube.com/@BMadCode) for video tutorials and walkthroughs.