darling-martech-data

To validate slug uniqueness in a TypeScript data layer, add or update content in the /data/ directory only after validating slug uniqueness and data shape against the predefined schemas. This enforces exact data shapes and cross-file consistency.

A typed data schema defines the data contracts for content files like labs, services, and testimonials. You need it when adding new pages or components to ensure consistent data structures and provide a single source of truth for safe object consumption.

You enforce cross-file consistency across labs, services, and work indices by using a centralized data layer manager. It validates cross-file references and data shapes against predefined schemas when wiring up new slugs or updating data entries.

Yes, this data validation approach works without external dependencies. It enforces exact data shapes, slug uniqueness, and cross-file consistency using predefined /data/ schemas directly within your TypeScript workflow.

The limitation of managing a data layer with predefined schemas is that content must strictly conform to exact data shapes. You must validate slug uniqueness and cross-file references before adding or updating any entries in the /data/ directory.