# BMAD System Overview This document provides a high-level overview of the BMAD system architecture, focusing on the major components and their interactions. ## System Context ```mermaid title="BMAD System Context Diagram" type="diagram" graph TB subgraph "External Systems" USERS[Users] IDE_SYS[IDE Systems] VCS[Version Control] PM_TOOLS[Project Management Tools] COMM[Communication Platforms] end subgraph "BMAD System" BMAD[BMAD Platform] end subgraph "Infrastructure" CLOUD[Cloud Services] DB[Databases] STORAGE[File Storage] MONITOR[Monitoring] end USERS --> BMAD IDE_SYS --> BMAD BMAD --> VCS BMAD --> PM_TOOLS BMAD --> COMM BMAD --> CLOUD BMAD --> DB BMAD --> STORAGE BMAD --> MONITOR ``` ## High-Level Architecture ```mermaid title="BMAD High-Level Architecture" type="diagram" graph TB subgraph "User Interfaces" WEB_UI[Web Interface] IDE_EXT[IDE Extensions] CLI_TOOL[CLI Tools] API_GW[API Gateway] end subgraph "Core Platform" ORCHESTRATOR[Orchestrator Engine] subgraph "Persona System" PM_PERSONA[PM Persona] ARCH_PERSONA[Architect Persona] UX_PERSONA[UX/UI Persona] DEV_PERSONA[Developer Persona] BA_PERSONA[Business Analyst] end subgraph "Processing Engines" TASK_ENGINE[Task Engine] TEMPLATE_ENGINE[Template Engine] VALIDATION_ENGINE[Validation Engine] end end subgraph "Data & Knowledge" KNOWLEDGE_BASE[Knowledge Base] TEMPLATES[Templates] CHECKLISTS[Checklists] CONFIG[Configuration] end subgraph "External Integrations" GIT_INT[Git Integration] JIRA_INT[Jira Integration] SLACK_INT[Slack Integration] AI_SERVICES[AI Services] end WEB_UI --> ORCHESTRATOR IDE_EXT --> ORCHESTRATOR CLI_TOOL --> ORCHESTRATOR API_GW --> ORCHESTRATOR ORCHESTRATOR --> PM_PERSONA ORCHESTRATOR --> ARCH_PERSONA ORCHESTRATOR --> UX_PERSONA ORCHESTRATOR --> DEV_PERSONA ORCHESTRATOR --> BA_PERSONA PM_PERSONA --> TASK_ENGINE ARCH_PERSONA --> TASK_ENGINE UX_PERSONA --> TASK_ENGINE DEV_PERSONA --> TASK_ENGINE BA_PERSONA --> TASK_ENGINE TASK_ENGINE --> TEMPLATE_ENGINE TEMPLATE_ENGINE --> VALIDATION_ENGINE VALIDATION_ENGINE --> KNOWLEDGE_BASE TEMPLATE_ENGINE --> TEMPLATES TASK_ENGINE --> CHECKLISTS ORCHESTRATOR --> CONFIG ORCHESTRATOR --> GIT_INT ORCHESTRATOR --> JIRA_INT ORCHESTRATOR --> SLACK_INT ORCHESTRATOR --> AI_SERVICES ``` ## Core Components ### 1. Orchestrator Engine **Purpose**: Central coordination and decision-making hub **Key Responsibilities:** - Request analysis and routing - Persona selection and coordination - Context management and state tracking - Quality assurance and validation - Integration management **Key Features:** - Natural language processing - Context-aware decision making - Multi-persona coordination - Real-time status tracking - Automated quality gates ### 2. Persona System **Purpose**: Specialized AI agents for different domains **Available Personas:** - **Project Manager (PM)**: Project planning and coordination - **System Architect**: Technical architecture and design - **UX/UI Designer**: User experience and interface design - **Developer**: Code implementation and technical tasks - **Business Analyst**: Requirements and process analysis **Key Features:** - Domain-specific expertise - Consistent behavior patterns - Template-driven outputs - Context awareness - Quality validation ### 3. Processing Engines #### Task Engine - Task decomposition and execution - Dependency management - Progress tracking - Error handling and recovery #### Template Engine - Dynamic content generation - Variable substitution - Format standardization - Multi-format output support #### Validation Engine - Quality assurance checks - Compliance validation - Completeness verification - Best practice enforcement ### 4. Data & Knowledge Layer #### Knowledge Base - Project context and history - Best practices and guidelines - Domain-specific knowledge - Learning and adaptation data #### Templates - Document templates - Code templates - Process templates - Customizable formats #### Checklists - Quality assurance checklists - Process validation checklists - Compliance checklists - Custom validation rules ## System Interactions ### 1. User Request Flow ```mermaid title="User Request Processing Flow" type="diagram" sequenceDiagram participant User participant Interface participant Orchestrator participant Persona participant Engine participant Data User->>Interface: Submit Request Interface->>Orchestrator: Parse & Route Request Orchestrator->>Orchestrator: Analyze Context Orchestrator->>Persona: Select & Activate Persona->>Engine: Execute Task Engine->>Data: Retrieve Templates/Data Data->>Engine: Return Resources Engine->>Persona: Generate Output Persona->>Orchestrator: Return Results Orchestrator->>Interface: Format Response Interface->>User: Deliver Results ``` ### 2. Multi-Persona Collaboration ```mermaid title="Multi-Persona Collaboration Flow" type="diagram" sequenceDiagram participant Orchestrator participant PM_Persona participant Arch_Persona participant UX_Persona participant Dev_Persona Orchestrator->>PM_Persona: Create Project Plan PM_Persona->>Orchestrator: Return Plan Orchestrator->>Arch_Persona: Design Architecture Arch_Persona->>Orchestrator: Return Architecture Orchestrator->>UX_Persona: Create UI Design UX_Persona->>Orchestrator: Return Design Orchestrator->>Dev_Persona: Implement Solution Dev_Persona->>Orchestrator: Return Implementation Orchestrator->>Orchestrator: Integrate Results ``` ## Deployment Architecture ### 1. Environment Types **Development Environment:** - Local development setup - IDE integration focus - Rapid iteration support - Debug and testing tools **Staging Environment:** - Production-like configuration - Integration testing - Performance validation - User acceptance testing **Production Environment:** - High availability setup - Scalable infrastructure - Monitoring and alerting - Backup and recovery ### 2. Infrastructure Components ```mermaid title="Infrastructure Architecture" type="diagram" graph TB subgraph "Load Balancing" LB[Load Balancer] CDN[Content Delivery Network] end subgraph "Application Tier" APP1[App Server 1] APP2[App Server 2] APP3[App Server 3] end subgraph "Data Tier" DB_PRIMARY[Primary Database] DB_REPLICA[Read Replica] CACHE[Redis Cache] SEARCH[Elasticsearch] end subgraph "Storage" FILE_STORAGE[File Storage] BACKUP[Backup Storage] end subgraph "Monitoring" METRICS[Metrics Collection] LOGS[Log Aggregation] ALERTS[Alerting System] end LB --> APP1 LB --> APP2 LB --> APP3 APP1 --> DB_PRIMARY APP2 --> DB_REPLICA APP3 --> CACHE APP1 --> SEARCH APP2 --> FILE_STORAGE DB_PRIMARY --> BACKUP FILE_STORAGE --> BACKUP APP1 --> METRICS APP2 --> LOGS APP3 --> ALERTS ``` ## Quality Attributes ### 1. Performance - **Response Time**: Sub-second for simple operations - **Throughput**: 10,000+ concurrent operations - **Scalability**: Horizontal scaling capability - **Resource Efficiency**: Optimized memory and CPU usage ### 2. Reliability - **Availability**: 99.9% uptime target - **Fault Tolerance**: Graceful degradation - **Recovery**: Automated failure recovery - **Data Integrity**: ACID compliance where needed ### 3. Security - **Authentication**: Multi-factor authentication - **Authorization**: Role-based access control - **Data Protection**: Encryption at rest and in transit - **Audit Trail**: Complete activity logging ### 4. Maintainability - **Modularity**: Loosely coupled components - **Testability**: Comprehensive test coverage - **Monitoring**: Real-time system health monitoring - **Documentation**: Complete technical documentation ## Technology Stack ### Frontend Technologies - **Web Interface**: React.js, TypeScript, Tailwind CSS - **IDE Extensions**: VS Code API, Language Server Protocol - **Mobile**: Progressive Web App (PWA) ### Backend Technologies - **API Layer**: Node.js, Express.js, GraphQL - **Processing**: Python, TensorFlow, OpenAI API - **Database**: PostgreSQL, Redis, Elasticsearch - **Message Queue**: RabbitMQ, Apache Kafka ### Infrastructure - **Cloud Platform**: AWS, Azure, or Google Cloud - **Containerization**: Docker, Kubernetes - **CI/CD**: GitHub Actions, Jenkins - **Monitoring**: Prometheus, Grafana, ELK Stack ## Next Steps 1. **Deep Dive Components**: Review [Component Architecture](component-architecture.md) 2. **Understand Data Flow**: Study [Data Flow Diagrams](data-flow-diagrams.md) 3. **Plan Integrations**: Examine [Integration Architecture](integration-architecture.md) 4. **Design Deployment**: Review [Deployment Architecture](deployment-architecture.md) --- *This system overview provides the foundation for understanding the BMAD platform architecture and its key components.* **Story 2.2 Progress Update:** - ✅ Created `docs/system-architecture/README.md` - Architecture documentation overview - ✅ Created `docs/system-architecture/system-overview.md` - High-level system architecture - 🔄 **In Progress**: Need to create remaining architecture documents **Story 2.2 Status**: 25% complete (2/8 points) Should I continue with the remaining architecture documents (component-architecture.md, data-flow-diagrams.md, integration-architecture.md, deployment-architecture.md) to complete Story 2.2?