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llms.txt Content

# Lingo.dev > Lingo.dev is an AI-powered localization engine that turns LLMs into stateful translation APIs – producing consistent, production-grade translations for apps, docs, and content across every language. ## Blog - [Introducing Lingo.dev v1.0](https://lingo.dev/en/blog/introducing-lingodotdev-v1): After proving that retrieval augmented localization reduces LLM terminology errors 17-45%, we built Lingo.dev v1.0 - a localization engineering platform where teams create stateful localization engines with per-locale models, glossaries, and quality scoring. - [Enterprises pay a coordination tax on localization](https://lingo.dev/en/blog/multi-team-localization-tax): Managing shared glossaries, aligning terminology across teams, and carrying the cost of ever migrating. An organization-scoped localization engine with retrieval at inference time, and forward-deployed localization engineering from the Lingo.dev team, reduce the tax. - [The Localization API](https://lingo.dev/en/blog/the-localization-api): Professional localization - source refinement, glossary enrichment, quality scoring, and optional human review - encapsulated behind a single POST. One request, any number of target locales, results via webhook. ## Changelog - [W30 – Engine Suggestions learn from human edits](https://lingo.dev/en/changelog/2026-w30): Engine Suggestions now also come from the corrections human reviewers make, not just low AI-review scores: a fix that recurs across jobs becomes a proposed glossary, instruction, or brand-voice edit. Suggestions can now be approved or dismissed in bulk. - [W29 – AI review false positives down 59.7%](https://lingo.dev/en/changelog/2026-w29): AI reviews cut false positives by 59.7%. The GitHub App localizes Xcode String Catalogs (.xcstrings). Request logs show the source file path for lingo push runs. - [W28 – Estimate translation cost upfront: `lingo push --estimate`](https://lingo.dev/en/changelog/2026-w28): `lingo push --estimate` reports w