From the experiment

Do coding agents recommend next-intl?

next-intl is the most chosen internationalization solution, taking 25% of 224 judged internationalization sessions. Measured with Claude Code, Codex and Cursor.

Published September 11, 2026 Read as Markdown

next-intl is the most chosen internationalization solution, taking 25% of 224 judged internationalization sessions. It was also raised as a candidate in 15 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 next-intl. What an agent actually installed.

The numbers

CategoryInternationalization
Sessions in the category224
Sessions where next-intl was chosen57
Install share25%
Rank in category1 of 20
Codebases it won in4
Raised as a candidate, not chosen15
Chosen when considered79%
Sitenext-intl.dev

By agent

The three agents land within 8 points of each other on next-intl, which is closer than most products in this experiment manage.

AgentSessionsChose next-intlShare
Claude Code772330%
Codex781924%
Cursor691522%

By who was asking

next-intl does much better with one kind of buyer than another. It won 53% of sessions asked as senior engineer and 0% of those asked as junior developer.

Who is askingSessionsChose next-intlShare
Vibe coder542750%
Junior developer6900%
Senior engineer472553%
Enterprise team5459%

What next-intl was up against

The full ranking in internationalization, from the same sessions:

#ProductRuns wonShare
1next-intl (this page)5725%
2Django translation framework4520%
3Symfony Translation188%
4Paraglide JS188%
5Rails I18n178%
6i18next146%
7Built in-house (no product adopted)125%
8Vue I18n104%

What this means

Leading a category is a position to defend rather than a result to celebrate. In our data, leaders lose ground in exactly two situations: when the person asking is an enterprise buyer with procurement constraints, and when a competitor's documentation is easier for an agent to integrate correctly.

The defence is unglamorous. Keep the quickstart running. Keep the version current on the page. Keep the names aligned. Stay in the templates.

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 next-intl: 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 next-intl?

Yes. next-intl was chosen in 57 of the 224 judged sessions in internationalization, a 25% install share, ranking first in its category.

Does Claude Code recommend next-intl?

In 23 of the 77 sessions in internationalization run with Claude Code, which is 30%.

Do different coding agents treat next-intl differently?

Not much. The three agents chose it at similar rates, between 22% and 30% 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 next-intl considered but not chosen?

It was raised as a candidate in 15 sessions without being chosen, and chosen in 57. That is a 79% 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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