Do coding agents recommend Render?
Render was chosen in 34% of 270 judged deployment sessions, ranking second. Measured with Claude Code, Codex and Cursor.
Render was chosen in 34% of 270 judged deployment sessions, ranking second. It was also raised as a candidate in 127 further sessions without being chosen.
This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in deployment inside a realistic codebase. Not what a chat assistant says about Render. What an agent actually installed.
The numbers
| Category | Deployment |
| Sessions in the category | 270 |
| Sessions where Render was chosen | 93 |
| Install share | 34% |
| Rank in category | 2 of 9 |
| Codebases it won in | 5 |
| Raised as a candidate, not chosen | 127 |
| Chosen when considered | 42% |
| Site | render.com |
By agent
The three agents land within 13 points of each other on Render, which is closer than most products in this experiment manage.
| Agent | Sessions | Chose Render | Share |
|---|---|---|---|
| Claude Code | 90 | 27 | 30% |
| Codex | 90 | 39 | 43% |
| Cursor | 90 | 27 | 30% |
By who was asking
Render performs similarly across the four kinds of buyer, from 31% to 38%. That is unusual: the category leader changed with the persona in 14 of the 18 categories we measured.
| Who is asking | Sessions | Chose Render | Share |
|---|---|---|---|
| Vibe coder | 135 | 42 | 31% |
| Senior engineer | 135 | 51 | 38% |
What Render was up against
The full ranking in deployment, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Vercel | 112 | 41% |
| 2 | Render (this page) | 93 | 34% |
| 3 | Cloudflare | 29 | 11% |
| 4 | GitHub Pages | 15 | 6% |
| 5 | Railway | 11 | 4% |
| 6 | Netlify | 6 | 2% |
| 7 | Fly.io | 2 | 1% |
| 8 | Google Cloud | 1 | 0% |
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 270 sessions in deployment are part of a published set of 5,292, 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 Render: 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 Render?
Yes. Render was chosen in 93 of the 270 judged sessions in deployment, a 34% install share, ranking second in its category.
Does Claude Code recommend Render?
In 27 of the 90 sessions in deployment run with Claude Code, which is 30%.
Do different coding agents treat Render differently?
Yes, and by a wide margin. Codex chose it in 43% of its runs and Claude Code in 30%.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 51 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 Render considered but not chosen?
It was raised as a candidate in 127 sessions without being chosen, and chosen in 93. That is a 42% conversion from considered to chosen.
Where this comes from
Armature ran 5,292 judged sessions with Claude Code, Codex and Cursor inside 51 realistic codebases, and published every run. The numbers on this page come from that work.