From the experiment

Do coding agents recommend Arctic?

Arctic was chosen in 2% of 724 judged authentication sessions, ranking ninth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

Published September 28, 2026 Updated September 29, 2026 Read as Markdown

Arctic was chosen in 2% of 724 judged authentication sessions, ranking ninth. It was also raised as a candidate in 25 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 authentication inside a realistic codebase. Not what a chat assistant says about Arctic. What an agent actually installed.

The numbers

CategoryAuthentication
Sessions in the category724
Sessions where Arctic was chosen11
Install share2%
Rank in category9 of 28
Codebases it won in2
Raised as a candidate, not chosen25
Chosen when considered31%
Sitearcticjs.dev

By agent

With 11 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.

AgentSessionsChose ArcticShare
Claude Code13354%
Codex20400%
Cursor13311%
Grok Build CLI5024%
Muse Code20431%

By who was asking

Arctic performs similarly across the four kinds of buyer, from 0% to 11%. That is unusual: the category leader changed with the persona in 23 of the 31 categories we measured.

Who is askingSessionsChose ArcticShare
Vibe coder981111%
Junior developer22300%
Senior engineer24300%
Enterprise team16000%

What Arctic was up against

The full ranking in authentication, from the same sessions:

#ProductRuns wonShare
1Auth018025%
2WorkOS AuthKit13118%
3Clerk8612%
4Microsoft Entra ID8011%
5Built in-house (no product adopted)659%
6Better Auth294%
7Amazon Cognito233%
8Keycloak223%

What this means

Arctic was raised in 25 sessions and chosen in 11. 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 724 sessions in authentication 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 authentication run can be replayed on the board.

If you work on Arctic: 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 Arctic?

Yes. Arctic was chosen in 11 of the 724 judged sessions in authentication, a 2% install share, ranking ninth in its category.

Does Claude Code recommend Arctic?

In 5 of the 133 sessions in authentication run with Claude Code, which is 4%.

Do different coding agents treat Arctic differently?

Not much. Claude Code, Codex, Cursor, Grok Build CLI and Muse Code chose it at similar rates, between 0% and 4% 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 Arctic considered but not chosen?

It was raised as a candidate in 25 sessions without being chosen, and chosen in 11. That is a 31% 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.

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