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BMAD System Architecture Documentation

This section provides comprehensive visual documentation of the BMAD system architecture, component relationships, and data flows.

Architecture Overview

The BMAD (Business, Management, Architecture, Development) system is built on a modular, AI-driven architecture that enables seamless coordination between specialized personas through an intelligent orchestrator.

Document	Description	Audience
System Overview	High-level system architecture	All stakeholders
Component Architecture	Detailed component breakdown	Technical teams
Data Flow Diagrams	Information flow patterns	Architects & Developers
Integration Architecture	External system integrations	Integration teams
Deployment Architecture	Infrastructure and deployment	DevOps & Operations

Architecture Principles

1. Modular Design

Separation of Concerns: Each component has a single, well-defined responsibility
Loose Coupling: Components interact through well-defined interfaces
High Cohesion: Related functionality is grouped together
Pluggable Architecture: Components can be easily replaced or extended

2. AI-First Approach

Intelligent Orchestration: AI-driven coordination between personas
Context-Aware Processing: Decisions based on complete project context
Adaptive Behavior: System learns and improves from interactions
Natural Language Interface: Human-friendly interaction patterns

3. Scalability & Performance

Horizontal Scaling: System can scale across multiple instances
Efficient Resource Usage: Optimized for memory and processing efficiency
Caching Strategies: Multi-level caching for improved performance
Asynchronous Processing: Non-blocking operations where possible

4. Security & Reliability

Defense in Depth: Multiple layers of security controls
Data Protection: Encryption at rest and in transit
Fault Tolerance: Graceful degradation and error recovery
Audit Trail: Complete logging of all system activities

System Architecture Layers

graph TB
    subgraph "Presentation Layer"
        WEB[Web Interface]
        IDE[IDE Extensions]
        CLI[Command Line Interface]
        API[REST API]
    end
    
    subgraph "Application Layer"
        ORCH[Orchestrator Engine]
        PERSONAS[Persona Management]
        TASKS[Task Execution Engine]
        WORKFLOW[Workflow Manager]
    end
    
    subgraph "Business Logic Layer"
        TEMPLATES[Template Engine]
        CHECKLISTS[Checklist Processor]
        VALIDATION[Validation Engine]
        QUALITY[Quality Assurance]
    end
    
    subgraph "Data Access Layer"
        KB[Knowledge Base]
        CONFIG[Configuration Store]
        CACHE[Caching Layer]
        SEARCH[Search Engine]
    end
    
    subgraph "Infrastructure Layer"
        STORAGE[File Storage]
        DATABASE[Database]
        QUEUE[Message Queue]
        MONITOR[Monitoring]
    end
    
    WEB --> ORCH
    IDE --> ORCH
    CLI --> ORCH
    API --> ORCH
    
    ORCH --> PERSONAS
    ORCH --> TASKS
    ORCH --> WORKFLOW
    
    PERSONAS --> TEMPLATES
    TASKS --> CHECKLISTS
    WORKFLOW --> VALIDATION
    VALIDATION --> QUALITY
    
    TEMPLATES --> KB
    CHECKLISTS --> CONFIG
    VALIDATION --> CACHE
    QUALITY --> SEARCH
    
    KB --> STORAGE
    CONFIG --> DATABASE
    CACHE --> QUEUE
    SEARCH --> MONITOR

Key Architectural Decisions

1. Orchestrator-Centric Design

Decision: Central orchestrator manages all persona interactions Rationale: Ensures consistent coordination and context management Trade-offs: Single point of coordination vs. distributed complexity

2. Template-Driven Output

Decision: All deliverables generated from standardized templates Rationale: Ensures consistency and quality across all outputs Trade-offs: Standardization vs. flexibility

3. Context-Aware Processing

Decision: All personas have access to complete project context Rationale: Enables informed decision-making and reduces errors Trade-offs: Memory usage vs. decision quality

4. Multi-Environment Support

Decision: Support both web and IDE environments Rationale: Flexibility for different user preferences and workflows Trade-offs: Development complexity vs. user adoption

Performance Characteristics

Response Time Targets

Simple Queries: < 200ms
Template Generation: < 2 seconds
Complex Analysis: < 10 seconds
Bulk Operations: < 30 seconds

Scalability Metrics

Concurrent Users: 1000+ simultaneous users
Request Throughput: 10,000+ requests/minute
Data Volume: 100GB+ knowledge base
Geographic Distribution: Multi-region deployment

Availability Requirements

Uptime Target: 99.9% availability
Recovery Time: < 5 minutes for critical failures
Backup Frequency: Real-time data replication
Disaster Recovery: < 1 hour full system recovery

Security Architecture

Authentication & Authorization

Multi-factor Authentication: Required for all users
Role-based Access Control: Granular permission management
API Key Management: Secure external system integration
Session Management: Secure session handling and timeout

Data Protection

Encryption: AES-256 encryption for data at rest
Transport Security: TLS 1.3 for all communications
Key Management: Hardware security module (HSM) integration
Data Classification: Automated sensitive data identification

Compliance & Auditing

Audit Logging: Complete activity trail
Compliance Monitoring: Automated compliance checking
Data Retention: Configurable retention policies
Privacy Controls: GDPR and CCPA compliance features

Next Steps

Review System Overview: Start with System Overview
Understand Components: Explore Component Architecture
Analyze Data Flows: Study Data Flow Diagrams
Plan Integrations: Review Integration Architecture
Design Deployment: Examine Deployment Architecture

This architecture documentation provides the foundation for understanding, implementing, and extending the BMAD system.

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