harness-i18n-workflow

To set up i18n for existing projects, the workflow audits hardcoded strings, retrofits your codebase, and generates an initial catalog of translation keys. This extraction process preserves current translations while surfacing ambiguous strings for review.

The best way to scaffold translation files is using a phase-driven lifecycle that defines IDs and defaults. This process structures source and target locale files, and includes pseudo-localization support to validate your layout before actual translation.

Yes, this i18n workflow supports web, mobile, and backend stacks. It detects frameworks across these platforms to configure multi-language settings and enforce a consistent translation lifecycle.

Yes, you can track translation coverage after extracting strings. The workflow applies a phase-driven lifecycle governing setup, scaffolding, extraction, and coverage tracking to monitor your localization progress across all configured locales.

Pseudo-localization works by generating artificial localized strings to test UI layout and identify hardcoded text. It is supported during the scaffolding phase to ensure your application handles varying text lengths before receiving real translations.

Configuring translation IDs and defaults is required before scaffolding to establish a consistent foundation for multi-language projects. This initial configuration phase governs the entire extraction and tracking lifecycle.