# Do coding agents recommend Django translation framework?

> Django translation framework was chosen in 20% of 224 judged internationalization sessions, ranking second. Measured with Claude Code, Codex and Cursor.

Source: https://armature.tech/library/do-coding-agents-recommend-django-translation-framework
Published: 2026-09-11
Publisher: Armature, Inc. (https://armature.tech)

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> Django translation framework was chosen in 20% of 224 judged internationalization sessions, ranking second. It was also raised as a candidate in 7 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 Django translation framework. What an agent actually installed.

## The numbers

| | |
| --- | --- |
| Category | Internationalization |
| Sessions in the category | 224 |
| Sessions where Django translation framework was chosen | 45 |
| Install share | 20% |
| Rank in category | 2 of 20 |
| Codebases it won in | 3 |
| Raised as a candidate, not chosen | 7 |
| Chosen when considered | 87% |
| Site | docs.djangoproject.com |

## By agent

The three agents agree closely on Django translation framework, choosing it at rates within 2 points of each other.

| Agent | Sessions | Chose Django translation framework | Share |
| --- | --- | --- | --- |
| Claude Code | 77 | 16 | 21% |
| Codex | 78 | 15 | 19% |
| Cursor | 69 | 14 | 20% |

## By who was asking

Django translation framework does much better with one kind of buyer than another. It won 52% of sessions asked as enterprise team and 0% of those asked as senior engineer.

| Who is asking | Sessions | Chose Django translation framework | Share |
| --- | --- | --- | --- |
| Vibe coder | 54 | 0 | 0% |
| Junior developer | 69 | 17 | 25% |
| Senior engineer | 47 | 0 | 0% |
| Enterprise team | 54 | 28 | 52% |

## What Django translation framework was up against

The full ranking in internationalization, from the same sessions:

| # | Product | Runs won | Share |
| --- | --- | --- | --- |
| 1 | next-intl | 57 | 25% |
| 2 | Django translation framework **(this page)** | 45 | 20% |
| 3 | Symfony Translation | 18 | 8% |
| 4 | Paraglide JS | 18 | 8% |
| 5 | Rails I18n | 17 | 8% |
| 6 | i18next | 14 | 6% |
| 7 | Built in-house (no product adopted) | 12 | 5% |
| 8 | Vue I18n | 10 | 4% |

## What this means

A solid second or third position in a category means the agent is genuinely choosing rather than reaching automatically. That is a winnable position, because the inputs it uses can be changed.

The fastest gains are usually in the sessions that were nearly won: read them, find the step where the agent moved on, and fix that step.

## Where these numbers come from

The 224 sessions in internationalization are part of a published set of 6,455, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: [how we measured this](/library/how-we-measured-this).

Every internationalization run can be replayed on [the board](/leaderboards/internationalization).

If you work on Django translation framework: 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 Django translation framework?

Yes. Django translation framework was chosen in 45 of the 224 judged sessions in internationalization, a 20% install share, ranking second in its category.

### Does Claude Code recommend Django translation framework?

In 16 of the 77 sessions in internationalization run with Claude Code, which is 21%.

### Do different coding agents treat Django translation framework differently?

Not much. The three agents chose it at similar rates, between 19% and 21% 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 Django translation framework considered but not chosen?

It was raised as a candidate in 7 sessions without being chosen, and chosen in 45. That is a 87% conversion from considered to chosen.

## Read next

- [How to get picked for internationalization by coding agents](https://armature.tech/library/internationalization-coding-agents-playbook) (Markdown: https://armature.tech/library/internationalization-coding-agents-playbook.md)
- [Do coding agents recommend next-intl?](https://armature.tech/library/do-coding-agents-recommend-next-intl) (Markdown: https://armature.tech/library/do-coding-agents-recommend-next-intl.md)
- [Do coding agents recommend Symfony Translation?](https://armature.tech/library/do-coding-agents-recommend-symfony-translation) (Markdown: https://armature.tech/library/do-coding-agents-recommend-symfony-translation.md)
- [Do Claude Code, Codex and Cursor pick the same tools?](https://armature.tech/library/do-claude-code-and-codex-agree) (Markdown: https://armature.tech/library/do-claude-code-and-codex-agree.md)

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