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BMAD-METHOD/docs/system-architecture/system-overview.md

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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
\```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?
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