domain-modeling

To enforce domain invariants and prevent drift, encode business rules directly into domain models using rich types. This ensures invariants live with the data inside entities and aggregates rather than scattered across external services.

Model value objects with immutability for domain primitives like Money or Date, and define aggregates to enforce identity and lifecycle. Keep domain logic near the data to avoid anemic models and ensure consistent state transitions.

Start applying DDD patterns by identifying domain boundaries and explicit translations to prevent cross-domain leakage. Introduce new entities, value objects, and aggregates to shape consistent identities across your layered architecture.

You need bounded contexts and explicit translations when multiple subdomains interact, to prevent cross-domain leakage and conceptual drift. They ensure that domain models remain consistent and isolated within their specific business boundaries.

Yes, this approach works for migrating anemic models by keeping domain logic near the data. It guides you to refactor services by enforcing invariants through aggregate methods and value object immutability instead of relying on external logic.