Do coding agents recommend Azure Maps?
Azure Maps was chosen in 5% of 759 judged maps sessions, ranking eighth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.
Azure Maps was chosen in 5% of 759 judged maps sessions, ranking eighth. It was also raised as a candidate in 45 further sessions without being chosen.
This page reports what happened when Claude Code, Codex, Cursor, Grok Build CLI and Muse Code had to solve a problem in maps inside a realistic codebase. Not what a chat assistant says about Azure 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 | 759 |
| Sessions where Azure Maps was chosen | 35 |
| Install share | 5% |
| Rank in category | 8 of 49 |
| Codebases it won in | 1 |
| Raised as a candidate, not chosen | 45 |
| Chosen when considered | 44% |
| Site | azure.microsoft.com |
By agent
Claude Code, Codex, Cursor, Grok Build CLI and Muse Code agree closely on Azure Maps, choosing it at rates within 5 points of each other.
| Agent | Sessions | Chose Azure Maps | Share |
|---|---|---|---|
| Claude Code | 164 | 8 | 5% |
| Codex | 227 | 16 | 7% |
| Cursor | 154 | 6 | 4% |
| Grok Build CLI | 37 | 1 | 3% |
| Muse Code | 177 | 4 | 2% |
By who was asking
Azure Maps performs similarly across the four kinds of buyer, from 0% to 9%. That is unusual: the category leader changed with the persona in 23 of the 31 categories we measured.
| Who is asking | Sessions | Chose Azure Maps | Share |
|---|---|---|---|
| Vibe coder | 163 | 0 | 0% |
| Junior developer | 247 | 18 | 7% |
| Senior engineer | 162 | 0 | 0% |
| Enterprise team | 187 | 17 | 9% |
What Azure Maps was up against
The full ranking in maps, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Google Maps | 133 | 18% |
| 2 | Leaflet | 125 | 16% |
| 3 | Apple Maps (MapKit) | 104 | 14% |
| 4 | MapLibre | 61 | 8% |
| 5 | Mapbox | 52 | 7% |
| 6 | Built in-house (no product adopted) | 43 | 6% |
| 7 | react-native-maps | 37 | 5% |
| 8 | OpenStreetMap | 37 | 5% |
What this means
Azure Maps was raised in 45 sessions and chosen in 35. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough.
Where these numbers come from
The 759 sessions in maps are part of a published set of 15,051, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.
Every maps run can be replayed on the board.
If you work on Azure 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 Azure Maps?
Yes. Azure Maps was chosen in 35 of the 759 judged sessions in maps, a 5% install share, ranking eighth in its category.
Does Claude Code recommend Azure Maps?
In 8 of the 164 sessions in maps run with Claude Code, which is 5%.
Do different coding agents treat Azure Maps differently?
Not much. Claude Code, Codex, Cursor, Grok Build CLI and Muse Code chose it at similar rates, between 2% and 7% of their runs.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 92 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 Azure Maps considered but not chosen?
It was raised as a candidate in 45 sessions without being chosen, and chosen in 35. That is a 44% conversion from considered to chosen.
Where this comes from
Armature ran 15,051 judged sessions with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code inside 92 realistic codebases, and published every run. The numbers on this page come from that work.