From the experiment

Do coding agents recommend Redpanda?

Redpanda was chosen in 2% of 588 judged message queues sessions, ranking number 12. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

Published September 24, 2026 Read as Markdown

Redpanda was chosen in 2% of 588 judged message queues sessions, ranking number 12. It was also raised as a candidate in 122 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 message queues inside a realistic codebase. Not what a chat assistant says about Redpanda. What an agent actually installed.

The numbers

CategoryMessage queues
Sessions in the category588
Sessions where Redpanda was chosen10
Install share2%
Rank in category12 of 29
Codebases it won in2
Raised as a candidate, not chosen122
Chosen when considered8%
Siteredpanda.com

By agent

With 10 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 RedpandaShare
Claude Code13811%
Codex14411%
Cursor13443%
Grok Build CLI3500%
Muse Code13743%

By who was asking

Redpanda performs similarly across the four kinds of buyer, from 0% to 4%. That is unusual: the category leader changed with the persona in 22 of the 29 categories we measured.

Who is askingSessionsChose RedpandaShare
Vibe coder9600%
Junior developer19500%
Senior engineer9922%
Enterprise team19884%

What Redpanda was up against

The full ranking in message queues, from the same sessions:

#ProductRuns wonShare
1Built in-house (no product adopted)10418%
2Apache Kafka7813%
3Amazon SQS6411%
4Service Bus498%
5Amazon Kinesis427%
6Laravel Queues407%
7Cloud Tasks386%
8Cloudflare Queues325%

What this means

This is an integration problem, not a presence problem. Agents raised Redpanda in 122 sessions and chose it in 10, 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 588 sessions in message queues are part of a published set of 13,497, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every message queues run can be replayed on the board.

If you work on Redpanda: 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 Redpanda?

Yes. Redpanda was chosen in 10 of the 588 judged sessions in message queues, a 2% install share, ranking number 12 in its category.

Does Claude Code recommend Redpanda?

In 1 of the 138 sessions in message queues run with Claude Code, which is 1%.

Do different coding agents treat Redpanda differently?

Not much. Claude Code, Codex, Cursor, Grok Build CLI and Muse Code chose it at similar rates, between 0% and 3% of their runs.

How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 91 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 Redpanda considered but not chosen?

It was raised as a candidate in 122 sessions without being chosen, and chosen in 10. That is a 8% conversion from considered to chosen.

Where this comes from

Armature ran 13,497 judged sessions with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code inside 91 realistic codebases, and published every run. The numbers on this page come from that work.

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