Do coding agents recommend Railway?
Railway was chosen in 3% of 508 judged deployment sessions, ranking fifth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.
Railway was chosen in 3% of 508 judged deployment sessions, ranking fifth. It was also raised as a candidate in 275 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 deployment inside a realistic codebase. Not what a chat assistant says about Railway. What an agent actually installed.
The numbers
| Category | Deployment |
| Sessions in the category | 508 |
| Sessions where Railway was chosen | 17 |
| Install share | 3% |
| Rank in category | 5 of 10 |
| Codebases it won in | 5 |
| Raised as a candidate, not chosen | 275 |
| Chosen when considered | 6% |
| Site | railway.app |
By agent
With 17 wins spread across 5 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 Railway | Share |
|---|---|---|---|
| Claude Code | 120 | 2 | 2% |
| Codex | 150 | 3 | 2% |
| Cursor | 119 | 9 | 8% |
| Grok Build CLI | 30 | 1 | 3% |
| Muse Code | 89 | 2 | 2% |
By who was asking
Railway performs similarly across the four kinds of buyer, from 3% to 4%. That is unusual: the category leader changed with the persona in 24 of the 31 categories we measured.
| Who is asking | Sessions | Chose Railway | Share |
|---|---|---|---|
| Vibe coder | 254 | 10 | 4% |
| Senior engineer | 254 | 7 | 3% |
What Railway was up against
The full ranking in deployment, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Vercel | 197 | 39% |
| 2 | Render | 193 | 38% |
| 3 | Cloudflare | 59 | 12% |
| 4 | GitHub Pages | 26 | 5% |
| 5 | Railway (this page) | 17 | 3% |
| 6 | Netlify | 9 | 2% |
| 7 | Fly.io | 4 | 1% |
| 8 | Google Cloud | 1 | 0% |
What this means
This is an integration problem, not a presence problem. Agents raised Railway in 275 sessions and chose it in 17, 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 508 sessions in deployment are part of a published set of 15,287, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.
Every deployment run can be replayed on the board.
If you work on Railway: 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 Railway?
Yes. Railway was chosen in 17 of the 508 judged sessions in deployment, a 3% install share, ranking fifth in its category.
Does Claude Code recommend Railway?
In 2 of the 120 sessions in deployment run with Claude Code, which is 2%.
Do different coding agents treat Railway differently?
Not much. Claude Code, Codex, Cursor, Grok Build CLI and Muse Code chose it at similar rates, between 2% and 8% of their runs.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 110 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 Railway considered but not chosen?
It was raised as a candidate in 275 sessions without being chosen, and chosen in 17. That is a 6% conversion from considered to chosen.
Where this comes from
Armature ran 15,287 judged sessions with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code inside 110 realistic codebases, and published every run. The numbers on this page come from that work.