schema-first-development

Enforce schema-first development by using effect/Schema for data modeling, replacing exported interfaces with schema classes, and deriving runtime helpers to ensure type safety and consistent data contracts.

The best way to define API schemas is by applying schema-first development principles, using effect/Schema to model literal domains, enforce annotations, and derive runtime validation helpers from the defined schemas.

Refactor an exported interface into a schema-first model by replacing it with an effect/Schema class, applying required annotations, setting defaults, and normalizing data boundaries to ensure strict runtime validation.

Yes, effect/Schema works for managing JSON boundaries by enforcing schema-first rules for object models, applying defaults, and performing data normalization to ensure consistent runtime validation across your repository.

Schema-first data modeling ensures all object models are consistently defined and validated at runtime, reducing bugs and improving maintainability by deriving types, codecs, and helpers from a single source of truth.

You need schema validation for code generation when adding new API endpoints or refactoring data models, allowing you to generate types, codecs, and other artifacts from effect/Schema definitions to enforce clear data contracts.