From the experiment

Do coding agents recommend i18next?

i18next was chosen in 6% of 224 judged internationalization sessions, ranking sixth. Measured with Claude Code, Codex and Cursor.

Published September 11, 2026 Read as Markdown

i18next was chosen in 6% of 224 judged internationalization sessions, ranking sixth. It was also raised as a candidate in 104 further sessions without being chosen.

This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in internationalization inside a realistic codebase. Not what a chat assistant says about i18next. What an agent actually installed.

The numbers

CategoryInternationalization
Sessions in the category224
Sessions where i18next was chosen14
Install share6%
Rank in category6 of 20
Codebases it won in2
Raised as a candidate, not chosen104
Chosen when considered12%
Sitei18next.com

By agent

With 14 wins spread across three agents, the rates below are small numbers and a difference between them is not yet a finding. They are here because the direction is worth knowing, not because the gap is established.

AgentSessionsChose i18nextShare
Claude Code7768%
Codex7879%
Cursor6911%

By who was asking

i18next does much better with one kind of buyer than another. It won 22% of sessions asked as vibe coder and 0% of those asked as senior engineer.

Who is askingSessionsChose i18nextShare
Vibe coder541222%
Junior developer6900%
Senior engineer4700%
Enterprise team5424%

What i18next was up against

The full ranking in internationalization, from the same sessions:

#ProductRuns wonShare
1next-intl5725%
2Django translation framework4520%
3Symfony Translation188%
4Paraglide JS188%
5Rails I18n178%
6i18next (this page)146%
7Built in-house (no product adopted)125%
8Vue I18n104%

What this means

This is an integration problem, not a presence problem. Agents raised i18next in 104 sessions and chose it in 14, so it reaches the shortlist and then loses. Something at the last step is costing the session, and in our data that is usually a quickstart that does not run when pasted, documentation describing an interface that changed, or a package name that does not match the product name.

That is the cheaper of the two problems to have. The reason is written down in each losing transcript.

Where these numbers come from

The 224 sessions in internationalization are part of a published set of 6,458, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every internationalization run can be replayed on the board.

If you work on i18next: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.

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Common questions

Do coding agents recommend i18next?

Yes. i18next was chosen in 14 of the 224 judged sessions in internationalization, a 6% install share, ranking sixth in its category.

Does Claude Code recommend i18next?

In 6 of the 77 sessions in internationalization run with Claude Code, which is 8%.

Do different coding agents treat i18next differently?

Not much. The three agents chose it at similar rates, between 1% and 9% of their runs.

How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 63 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.

How often is i18next considered but not chosen?

It was raised as a candidate in 104 sessions without being chosen, and chosen in 14. That is a 12% conversion from considered to chosen.

Where this comes from

Armature ran 6,458 judged sessions with Claude Code, Codex and Cursor inside 63 realistic codebases, and published every run. The numbers on this page come from that work.

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