Architecture Diagram Generator

I'll analyze your codebase and generate visual architecture diagrams showing component relationships, data flow, and system structure.

Arguments: $ARGUMENTS - diagram type or format (e.g., "mermaid", "plantuml", "component", "data-flow")

Strategic Analysis Process

1. Project Structure Analysis
   • What's the application architecture? (monolith, microservices, serverless)
   • What layers exist? (frontend, backend, database, services)
   • How do components communicate?
   • What are the major modules and their responsibilities?
   • Are there clear architectural patterns? (MVC, MVVM, Clean Architecture)
2. Diagram Type Selection
   • Component diagram: Show major components and relationships
   • Sequence diagram: Show interaction flows
   • Data flow diagram: Show how data moves through system
   • Deployment diagram: Show infrastructure and deployment
   • Class diagram: Show object-oriented structure
   • Entity-relationship: Show database schema
3. Format Decision
   • Mermaid: Simple, version-controllable, GitHub/GitLab rendering
   • PlantUML: More features, complex diagrams, requires rendering
   • Diagrams.net (Draw.io): Visual editing, XML format
   • ASCII art: Terminal-friendly, simple visualizations
4. Detail Level
   • High-level overview: Major components only
   • Medium detail: Components + key interactions
   • Detailed: All modules, functions, data flows
   • Focus on what's most valuable for documentation</think>

Phase 1: Architecture Discovery

MANDATORY FIRST STEPS:

1. Analyze project structure and file organization
2. Identify architectural patterns from code
3. Map component dependencies
4. Detect technology stack and frameworks

Let me analyze your project architecture:

# Analyze project structure
echo "=== Architecture Analysis ==="

# Detect project type
if [ -d "src/components" ] || [ -d "components" ]; then
    echo "Frontend components detected"
fi

if [ -d "src/api" ] || [ -d "api" ] || [ -d "routes" ]; then
    echo "API/Backend layer detected"
fi

if [ -d "src/models" ] || [ -d "models" ]; then
    echo "Data models detected"
fi

if [ -d "src/services" ] || [ -d "services" ]; then
    echo "Service layer detected"
fi

# Count major components
echo ""
echo "Component counts:"
find src -type f -name "*.js" -o -name "*.ts" -o -name "*.jsx" -o -name "*.tsx" 2>/dev/null | wc -l | xargs echo "Files:"
find src -type d -maxdepth 2 2>/dev/null | wc -l | xargs echo "Directories:"

# Identify framework
if grep -q "\"next\"" package.json 2>/dev/null; then
    echo "Framework: Next.js"
elif grep -q "\"react\"" package.json 2>/dev/null; then
    echo "Framework: React"
elif grep -q "\"vue\"" package.json 2>/dev/null; then
    echo "Framework: Vue"
elif grep -q "\"express\"" package.json 2>/dev/null; then
    echo "Framework: Express (Node.js)"
fi

Phase 2: Component Relationship Mapping

I'll map relationships between components:

Analysis Methods:

• Import/export analysis (module dependencies)
• API endpoint mapping (request/response flows)
• Database relationship detection (foreign keys, relations)
• Event system mapping (event emitters/listeners)
• Service dependencies (dependency injection patterns)

Using Native Tools:

• Grep to find import statements and dependencies
• Glob to identify component files by pattern
• Read key architectural files (routers, services, models)
• Pattern detection for architectural styles

I'll analyze:

• Frontend component hierarchy
• Backend route handlers and middleware
• Service layer dependencies
• Database entity relationships
• External API integrations

Phase 3: Diagram Generation

Based on analysis, I'll generate appropriate diagrams:

Mermaid Diagrams (Default)

Component Diagram:

graph TB
    subgraph Frontend
        UI[User Interface]
        Components[React Components]
        Store[State Management]
    end

    subgraph Backend
        API[API Layer]
        Services[Business Services]
        Models[Data Models]
    end

    subgraph Infrastructure
        DB[(Database)]
        Cache[(Redis Cache)]
        Queue[Message Queue]
    end

    UI --> Components
    Components --> Store
    Components --> API
    API --> Services
    Services --> Models
    Models --> DB
    Services --> Cache
    Services --> Queue

Data Flow Diagram:

flowchart LR
    User((User)) --> UI[User Interface]
    UI --> Auth{Authentication}
    Auth -->|Valid| API[API Gateway]
    Auth -->|Invalid| Login[Login Page]
    API --> Service[Business Logic]
    Service --> DB[(Database)]
    DB --> Service
    Service --> API
    API --> UI
    UI --> User

Sequence Diagram:

sequenceDiagram
    participant User
    participant Frontend
    participant API
    participant Service
    participant DB

    User->>Frontend: Click Action
    Frontend->>API: HTTP Request
    API->>Service: Process Request
    Service->>DB: Query Data
    DB-->>Service: Return Results
    Service-->>API: Format Response
    API-->>Frontend: JSON Response
    Frontend-->>User: Update UI

System Architecture:

graph TB
    subgraph Client Layer
        Web[Web App]
        Mobile[Mobile App]
    end

    subgraph API Gateway
        Gateway[API Gateway]
        Auth[Auth Service]
    end

    subgraph Services
        UserService[User Service]
        ProductService[Product Service]
        OrderService[Order Service]
    end

    subgraph Data Layer
        PostgreSQL[(PostgreSQL)]
        Redis[(Redis)]
        S3[S3 Storage]
    end

    Web --> Gateway
    Mobile --> Gateway
    Gateway --> Auth
    Auth --> Gateway
    Gateway --> UserService
    Gateway --> ProductService
    Gateway --> OrderService
    UserService --> PostgreSQL
    ProductService --> PostgreSQL
    OrderService --> PostgreSQL
    ProductService --> Redis
    OrderService --> S3

PlantUML Diagrams

Class Diagram:

@startuml
class User {
  +id: string
  +email: string
  +name: string
  +authenticate()
  +updateProfile()
}

class Product {
  +id: string
  +name: string
  +price: number
  +getDetails()
}

class Order {
  +id: string
  +userId: string
  +items: Product[]
  +total: number
  +createOrder()
  +processPayment()
}

User "1" -- "*" Order
Order "*" -- "*" Product
@enduml

Component Diagram:

@startuml
package "Frontend" {
  [React Components]
  [Redux Store]
  [API Client]
}

package "Backend" {
  [Express Server]
  [Auth Middleware]
  [Business Logic]
}

package "Data" {
  database "PostgreSQL"
  database "Redis"
}

[React Components] --> [Redux Store]
[React Components] --> [API Client]
[API Client] --> [Express Server]
[Express Server] --> [Auth Middleware]
[Auth Middleware] --> [Business Logic]
[Business Logic] --> PostgreSQL
[Business Logic] --> Redis
@enduml

Deployment Diagram

Infrastructure Visualization:

graph TB
    subgraph Cloud Provider
        subgraph Frontend
            CDN[CDN / CloudFront]
            Static[Static Hosting]
        end

        subgraph Application
            LB[Load Balancer]
            App1[App Server 1]
            App2[App Server 2]
            App3[App Server 3]
        end

        subgraph Data
            Primary[(Primary DB)]
            Replica[(Read Replica)]
            Cache[(Redis Cluster)]
        end

        subgraph Queue
            MQ[Message Queue]
            Worker1[Worker 1]
            Worker2[Worker 2]
        end
    end

    Users((Users)) --> CDN
    CDN --> Static
    Users --> LB
    LB --> App1
    LB --> App2
    LB --> App3
    App1 --> Primary
    App2 --> Primary
    App3 --> Primary
    App1 --> Replica
    App2 --> Replica
    App3 --> Replica
    App1 --> Cache
    App2 --> Cache
    App3 --> Cache
    App1 --> MQ
    MQ --> Worker1
    MQ --> Worker2
    Worker1 --> Primary
    Worker2 --> Primary

Phase 4: Diagram Output

I'll create diagram files in your project:

File Creation:

• docs/architecture/components.mmd - Component diagram
• docs/architecture/data-flow.mmd - Data flow diagram
• docs/architecture/deployment.mmd - Deployment diagram
• docs/architecture/sequence.mmd - Sequence diagrams
• docs/architecture/README.md - Documentation with rendered diagrams

Markdown Integration:

# System Architecture

## Component Diagram

```mermaid
[diagram content]

Data Flow

[diagram content]

This automatically renders on GitHub, GitLab, and many documentation platforms.

## Token Optimization

**Expected range**: 1,400–4,200 tokens (initial), 500 tokens (cache hit)

**Caching**: Caches architecture analysis in `.claude/cache/architecture/` for 7 days. Invalidated when source structure changes.

**Early exit**: Returns cached diagram immediately if project structure has not changed.

**Patterns used**: Grep-before-Read, early exit, caching, Bash for system queries