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lahja

v0.5.1

Published

Find the user-facing strings AI code tools hardcode instead of translating — AST-verified so it never flags live code or dynamic bindings. CLI + MCP + AI-rules. Part of OttoSpace.

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Links

Git

Maintainers

ottospaceottospace

Keywords

lahjai18nlinti18nl10nlocalizationtranslationhardcoded-stringsintlastaicursorclaudelinter

Readme

lahja

Find the user-facing strings AI code tools hardcode instead of translating.

lahja (لهجة) — an accent, a dialect, a way of speaking. Ship your UI in every one. Formerly i18nlint.

AI codegen ships English text baked straight into JSX, un-localized dates and currency, and no <html lang>. It looks done — until you try to ship in a second language and half the UI is hardcoded. lahja scans your React / Next / Vue / Svelte / Astro / HTML and reports every string a user reads that isn't translated yet.

It is AST-verified (Babel for JS/TS/JSX/TSX): only real syntax nodes count, so live code — TS generics like Array<string>, object keys, ids, classNames, imports — and dynamic markup bindings (:placeholder, v-bind, bind:, {expr}) are never mistaken for UI text.

npx lahja .                 # report untranslated strings
npx lahja . --json          # machine-readable + severity summary (CI)
npx lahja . --check         # CI gate on errors only (lahja emits none → passes)
npx lahja . --strict        # fail on warnings too (the usual CI gate for lahja)
npx lahja . --report-only   # always exit 0 (report, never gate)
npx lahja . --baseline      # accept today's debt, then fail only on NEW strings
npx lahja . --suggest       # PROPOSE a t()-wrap for each finding (writes nothing)
npx lahja . --init-rules    # write I18N-RULES.md for your AI agent

Severity — so it never hard-fails a client build by surprise

Every finding is error | warning | advice (JSON adds severity per finding plus a summary). i18n detection is inference over source, not a proven defect, so lahja emits no errors: hardcoded UI text is a warning (context-inferred); a bare toLocaleString(), a segmentation smell, and a lone brand/proper-noun token (Stripe, Morocco) are advice. Exit is non-zero only on an error, so a plain run or --check never fails a build — gate CI with --strict (fails on warnings). Known brand names are skipped; <code>/<pre>/<kbd> content, <Html> components, and if (x.length) emptiness checks are never flagged.

What it catches

  • Hardcoded JSX / markup text — <h1>Your cart</h1> → wrap in t()
  • Hardcoded string literals — const label = 'Add to cart', alert('Saved'), toast(\...`)`
  • User-facing attributes — placeholder, title, alt, aria-label, label (single- or double-quoted, and ={'…'})
  • Un-localized formatting — a bare toLocaleDateString() with no locale
  • Hardcoded currency — $99.00 → Intl.NumberFormat
  • Missing <html lang>

Zero mistakes, by design

Every audited false-positive is a permanent test in test/corpus/ and node --test: a TS generic never welds across lines, <html> in a string is not a missing-lang, a Vue :placeholder="msg" binding is never flagged, keys/ids/classNames/imports are left alone.

Ignoring & baselines

  • Silence one line with a // lahja-ignore comment (on the line or the comment line above it).
  • Skip whole paths with a .lahjaignore file (one glob/substring per line).
  • Adopt lahja on a legacy codebase with --baseline: the first run snapshots existing debt to .lahja-baseline.json; later runs fail only on strings you add. --update-baseline re-snaps.

Why it only reports (never edits)

Translating is a human decision — which key, which message, which namespace. lahja won't guess. --suggest will propose a t()-wrap diff, but applies nothing. It just guarantees nothing user-facing slips through untranslated, and its --init-rules file stops your AI agent from adding more.

In your AI agent (MCP)

{ "mcpServers": { "lahja": { "command": "npx", "args": ["-y", "-p", "github:Otto-OttoSpace/lahja", "lahja-mcp"] } } }

Tools: lahja_scan, lahja_check_code.

Part of Otto — tools that make the AI-built web work in every language. MIT © 2026

💛 Support & commercial use

The Miraat suite is free and open-source (MIT). If it helps you ship correct Arabic/RTL, please consider sponsoring on GitHub — it funds maintenance and new rules.

Using it in a commercial product, in CI, or need the private DGA compliance rule pack? A Miraat Pro commercial licence — commercial use, a hosted CI audit that gates PRs (miraat-action), and priority support — is available. Email [email protected] and we'll set you up.