Summary

This repository demonstrates the B-MAD (BMAD Multi-Agent Development) methodology, an AI-driven framework designed to streamline software development from ideation to deployment. It leverages specialized AI agents for distinct roles such as Business Analyst, Product Manager, and Architect, producing structured, machine-readable documentation at each stage. The core benefit is an organized, AI-assisted development lifecycle that enhances clarity and efficiency.

How It Works

B-MAD orchestrates a series of AI agents through distinct project phases. A Business Analyst agent initiates brainstorming, followed by a Product Manager agent who generates a Product Requirements Document (PRD), and an Architect agent who defines the system's technical blueprint. The methodology emphasizes generating comprehensive, structured Markdown documents, including shardable PRD and architecture files for easier navigation and AI processing. The output culminates in detailed user stories with acceptance criteria, ready for implementation by development agents.

Quick Start & Requirements

Installation is performed using the command: bash npx bmad-method install. Following installation, users initiate the setup by running workflow-init within their IDE (e.g., Cursor, Windsurf, Claude Code) to analyze the project and select an appropriate development workflow (Quick Flow, BMad Method, or Enterprise).

Highlighted Details

• Comprehensive documentation suite generated by AI agents, covering brainstorming, PRD, architecture, and detailed user stories.
• "Shardable" PRD and architecture documents allow for modular access and targeted AI consumption.
• Quality Assurance (QA) Gates are defined in YAML format, specifying validation criteria for completed tasks.
• The project itself was fully specified and developed using the B-MAD method with Claude as the primary AI agent.

Maintenance & Community

This repository is presented as a Proof of Concept (PoC) for the B-MAD method. The provided README does not contain information regarding ongoing maintenance, community channels, or notable contributors.

Licensing & Compatibility

The README content does not specify an open-source license. Consequently, its terms for commercial use or integration into closed-source projects are undetermined.

Limitations & Caveats

As a Proof of Concept, this project primarily serves to illustrate the B-MAD methodology. Its reliance on specific AI models (Claude) and IDE integrations (Cursor, Windsurf, Claude Code) may present adoption challenges. The absence of explicit licensing information requires careful consideration before use in production or commercial environments.