Domain Driven Design

What it does

This skill equips AI agents with Domain-Driven Design (DDD) principles to structure complex software systems effectively. It enables agents to align technical architecture with business logic, ensuring codebases remain scalable and maintainable as requirements evolve.

When to use it

• Refactoring legacy monolithic applications into modular microservices based on business capabilities.
• Defining clear bounded contexts to isolate distinct business domains within a large codebase.
• Generating domain models that accurately reflect real-world business rules rather than just database schemas.
• Designing event-driven architectures where system components communicate through domain events.

Key capabilities

• Identifying and modeling core domain entities and value objects.
• Applying strategic design patterns like Ubiquitous Language and Bounded Contexts.
• Structuring code to separate generic infrastructure concerns from specific business logic.
• Facilitating communication between technical teams and non-technical stakeholders through shared terminology.

Example prompts

• "Analyze this legacy customer service module and propose a Domain-Driven Design strategy to split it into bounded contexts."
• "Generate a domain model for an inventory management system that strictly separates aggregate roots from value objects."
• "Refactor this monolithic order processing script into microservices using event sourcing principles."

Tips & gotchas

• DDD is most effective for complex business domains; avoid over-engineering simple CRUD applications.
• Success relies heavily on establishing a Ubiquitous Language with stakeholders before writing code, as misaligned terminology leads to architectural drift.