# Do coding agents recommend react-native-maps?

> react-native-maps was chosen in 6% of 316 judged maps sessions, ranking sixth. Measured with Claude Code, Codex and Cursor.

Source: https://armature.tech/library/do-coding-agents-recommend-react-native-maps
Published: 2026-09-11
Publisher: Armature, Inc. (https://armature.tech)

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> react-native-maps was chosen in 6% of 316 judged maps sessions, ranking sixth. It was also raised as a candidate in 6 further sessions without being chosen.

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

One thing to read first: every one of those wins came from a **single codebase**. That is a result about one repository rather than about maps in general, and the splits below cannot separate the two. Treat them as a description of that repository.

## The numbers

| | |
| --- | --- |
| Category | Maps |
| Sessions in the category | 316 |
| Sessions where react-native-maps was chosen | 19 |
| Install share | 6% |
| Rank in category | 6 of 32 |
| Codebases it won in | 1 |
| Raised as a candidate, not chosen | 6 |
| Chosen when considered | 76% |
| Site | github.com |

## By agent

With 19 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.

| Agent | Sessions | Chose react-native-maps | Share |
| --- | --- | --- | --- |
| Claude Code | 108 | 8 | 7% |
| Codex | 110 | 4 | 4% |
| Cursor | 98 | 7 | 7% |

## By who was asking

react-native-maps performs similarly across the four kinds of buyer, from 0% to 13%. That is unusual: the category leader changed with the persona in 19 of the 23 categories we measured.

| Who is asking | Sessions | Chose react-native-maps | Share |
| --- | --- | --- | --- |
| Vibe coder | 64 | 0 | 0% |
| Junior developer | 147 | 19 | 13% |
| Senior engineer | 72 | 0 | 0% |
| Enterprise team | 33 | 0 | 0% |

## What react-native-maps was up against

The full ranking in maps, from the same sessions:

| # | Product | Runs won | Share |
| --- | --- | --- | --- |
| 1 | Google Maps | 52 | 16% |
| 2 | Leaflet | 52 | 16% |
| 3 | Apple Maps (MapKit) | 46 | 15% |
| 4 | Mapbox | 25 | 8% |
| 5 | MapLibre | 20 | 6% |
| 6 | react-native-maps **(this page)** | 19 | 6% |
| 7 | Azure Maps | 18 | 6% |
| 8 | Built in-house (no product adopted) | 16 | 5% |

## What this means

Agents almost never raise react-native-maps without choosing it: 6 sessions raised against 19 chosen. When it gets considered, it usually wins. The constraint is how rarely it gets considered at all, which is a presence problem: templates, framework integrations and pages that answer the configuration and production questions agents actually search for.

## Where these numbers come from

The 316 sessions in maps 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 maps run can be replayed on [the board](/leaderboards/maps).

If you work on react-native-maps: 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 react-native-maps?

Yes. react-native-maps was chosen in 19 of the 316 judged sessions in maps, a 6% install share, ranking sixth in its category.

### Does Claude Code recommend react-native-maps?

In 8 of the 108 sessions in maps run with Claude Code, which is 7%.

### Do different coding agents treat react-native-maps differently?

Not much. The three agents chose it at similar rates, between 4% and 7% 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 react-native-maps considered but not chosen?

It was raised as a candidate in 6 sessions without being chosen, and chosen in 19. That is a 76% conversion from considered to chosen.

## Read next

- [How to get picked for maps by coding agents](https://armature.tech/library/maps-coding-agents-playbook) (Markdown: https://armature.tech/library/maps-coding-agents-playbook.md)
- [Do coding agents recommend Google Maps?](https://armature.tech/library/do-coding-agents-recommend-google-maps) (Markdown: https://armature.tech/library/do-coding-agents-recommend-google-maps.md)
- [Do coding agents recommend Leaflet?](https://armature.tech/library/do-coding-agents-recommend-leaflet) (Markdown: https://armature.tech/library/do-coding-agents-recommend-leaflet.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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Armature helps software products get discovered and used by coding agents.
Service: https://armature.tech/discoverability · Results: https://armature.tech/leaderboards/sectors · Contact: contact@armature.tech
