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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

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

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

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

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

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
  2. Understand Data Flow: Study Data Flow Diagrams
  3. Plan Integrations: Examine Integration Architecture
  4. Design Deployment: Review Deployment Architecture

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?