7 Practical Lessons for Localizing AI Developer Products for Global Audiences

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Building AI products for a global audience requires treating localization as a core part of the developer experience, not just a translation task. Key lessons from developing the multilingual API platform APIHubRelay include using translation keys from the start, preserving standard technical terms like 'token' and 'endpoint,' and designing flexible UI layouts that accommodate text expansion across languages. Developers are advised to keep code snippets untranslated while localizing surrounding explanations, and to extend localization beyond the homepage to cover registration, error messages, billing, and documentation. A persistent, easily accessible language selector and metrics such as registration conversion and onboarding completion by locale are recommended to identify gaps where technically correct translations still confuse users.

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