Lingo.dev is a localization engineering platform that transforms how teams manage multilingual content by embedding localization directly into the product development workflow. Unlike traditional approaches that rely on external vendors and manual coordination, Lingo.dev provides a stateful translation API that persists domain context—glossaries, brand voice, and per-locale model chains—across every request. This ensures that terminology remains consistent, quality is measurable, and translations adapt to your product's evolving language.
Key features include a localization engine that holds your glossary, brand voice, and model chain, allowing you to configure rules that enforce product terminology and define register per locale. The platform supports retrieval augmented localization, which re-localizes only changed content while retrieving surrounding context to prevent terminology drift. Quality scoring per dimension and tracking over time replace subjective reviewer opinions with objective metrics.
Benefits include eliminating weeks of coordination with translators unfamiliar with your domain, reducing terminology drift across releases, and enabling engineering teams to focus on building features while translations happen automatically. Use cases range from open-source projects needing immediate, accurate localization to enterprise products requiring consistent brand voice across 36+ languages. Technical details include integration via code, CLI, CI/CD, or MCP (Model Context Protocol), with support for ranked fallback among providers. Lingo.dev processes over 324 million words, demonstrating its scalability. By moving localization inside the product, teams achieve compounding context—each request enters with prior knowledge, locking terminology and making quality auditable. This approach turns localization from a bottleneck into a seamless part of development, as highlighted by users like Keith Williams of Supabase, who notes that engineers no longer think about localization. Lingo.dev is ideal for teams seeking to automate multilingual support without sacrificing quality or consistency.
localization engineers, product development teams, engineering teams, content managers, multilingual product teams, software developers
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