Automating Away the Translation Problem: A Data-First Approach to i18n

This approach represents a paradigm shift in how developers handle internationalization. By embedding multilingual support directly into the data model rather than managing separate translation files, teams eliminate duplication, reduce synchronization overhead, and streamline content workflows. With AI-powered translation engines like GPT now practical, this data-first architecture offers a scalable blueprint for modern localization strategies.