Domain-Driven Design with AI: Strategic and Tactical Patterns

Introduction

Domain-Driven Design (DDD), introduced by Eric Evans, provides a comprehensive approach to modeling complex domains. With AI, we can enhance both strategic and tactical DDD patterns.

Strategic DDD with AI

Bounded Contexts

AI can help identify and define bounded contexts by analyzing domain language and business processes.

// Example: E-commerce Bounded Contexts
const boundedContexts = {
  catalog: {
    entities: ['Product', 'Category', 'Inventory'],
    valueObjects: ['ProductId', 'SKU', 'Price'],
    services: ['ProductCatalogService', 'InventoryService']
  },
  order: {
    entities: ['Order', 'OrderItem', 'Customer'],
    valueObjects: ['OrderId', 'OrderStatus', 'PaymentMethod'],
    services: ['OrderService', 'PaymentService']
  },
  shipping: {
    entities: ['Shipment', 'Address', 'Carrier'],
    valueObjects: ['TrackingNumber', 'ShippingMethod'],
    services: ['ShippingService', 'TrackingService']
  }
};
            

Bibliography

• Evans, E. (2003). "Domain-Driven Design: Tackling Complexity in the Heart of Software"
• Vernon, V. (2013). "Implementing Domain-Driven Design"
• Fowler, M. (2002). "Patterns of Enterprise Application Architecture"