What is BMAD-METHOD?
BMAD-METHOD™ (Breakthrough Method for Agile AI Driven Development) is an open-source universal AI agent framework that transforms how we approach AI-driven development across multiple domains.
Unlike traditional AI coding assistants, BMAD introduces a collaborative multi-agent system where specialized AI agents work together to handle the entire development lifecycle - from planning to deployment.
Core Innovation
BMAD-METHOD addresses two critical challenges in AI-assisted development:
1. Agentic Planning
Specialized AI agents (Analyst, Project Manager, Architect) collaborate to create detailed product requirements and architecture documents using advanced prompt engineering and human-in-the-loop refinement.
2. Context-Engineered Development
The Scrum Master agent transforms planning documents into hyper-detailed development stories that embed full context, implementation details, and architectural guidance - eliminating “planning inconsistency” and “context loss.”
Agent Collaboration Workflow
The Six AI Agents
Requirements Analysis] PM[📋 Project Manager
Project Planning] AR[🏗️ Architect Agent
System Design] end subgraph Execution["⚙️ Execution Phase"] SM[📝 Scrum Master
Story Creation] DEV[💻 Development Agent
Code Implementation] QA[✅ QA Agent
Quality Assurance] end A --> PM --> AR AR --> SM --> DEV --> QA style Planning fill:#e3f2fd style Execution fill:#f3e5f5
Agent Responsibilities
| Agent | Role | Key Outputs |
|---|---|---|
| Analyst | Gathers and analyzes requirements | Detailed PRD (Product Requirements Document) |
| Project Manager | Plans project scope and timeline | Project plan, milestones |
| Architect | Designs system architecture | Architecture diagrams, technical specs |
| Scrum Master | Creates development stories | Context-rich user stories |
| Developer | Implements features | Working code, documentation |
| QA | Tests and validates | Test results, bug reports |
Key Features
- ✨ Domain Agnostic: Works across software development, creative writing, business strategy, education, and more
- 🔌 Expansion Packs: Domain-specific AI agents available through expansion packs
- 🤝 Collaborative: Agents work together, maintaining context throughout the process
- 📚 Context Preservation: Eliminates context loss between planning and development
- 🔄 Human-in-the-Loop: Refinement at every stage ensures quality
- 🌐 Open Source: MIT License, Node.js-based
How It Works
Use Cases
BMAD-METHOD excels in:
- 🚀 Software Development: Full-stack applications, APIs, microservices
- ✍️ Creative Writing: Novels, scripts, content creation
- 💼 Business Strategy: Business plans, market analysis
- 🎓 Education: Curriculum development, learning materials
- 🎮 Entertainment: Game design, interactive experiences
- 💪 Personal Wellness: Health programs, fitness plans
Getting Started
- Visit the GitHub Repository: github.com/bmad-code-org/BMAD-METHOD
- Join the Community: Connect on Discord for support
- Explore Expansion Packs: Find domain-specific agents for your needs
- Start Building: Follow the documentation to create your first BMAD project
Why BMAD Matters
Traditional AI coding assistants often struggle with:
- Losing context between conversations
- Inconsistent planning and implementation
- Lack of domain expertise
- Poor collaboration between different development phases
BMAD-METHOD solves these problems by providing a structured, multi-agent approach that maintains context, ensures consistency, and delivers comprehensive solutions from inception to deployment.
Learn More: BMAD-METHOD on GitHub
BMAD-METHOD is open-source software licensed under MIT License.