From the experiment

Do coding agents recommend Amplitude?

Amplitude was chosen in 3% of 598 judged product analytics sessions, ranking fourth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

Published October 14, 2026 Read as Markdown

Amplitude was chosen in 3% of 598 judged product analytics sessions, ranking fourth. It was also raised as a candidate in 333 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 product analytics inside a realistic codebase. Not what a chat assistant says about Amplitude. What an agent actually installed.

The numbers

CategoryProduct analytics
Sessions in the category598
Sessions where Amplitude was chosen19
Install share3%
Rank in category4 of 20
Codebases it won in4
Raised as a candidate, not chosen333
Chosen when considered5%
Siteamplitude.com

By agent

With 19 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 AmplitudeShare
Claude Code15043%
Codex180137%
Cursor14921%
Grok Build CLI2900%
Muse Code9000%

By who was asking

Amplitude performs similarly across the four kinds of buyer, from 0% to 7%. That is unusual: the category leader changed with the persona in 24 of the 31 categories we measured.

Who is askingSessionsChose AmplitudeShare
Vibe coder6000%
Junior developer24010%
Senior engineer238167%
Enterprise team6023%

What Amplitude was up against

The full ranking in product analytics, from the same sessions:

#ProductRuns wonShare
1PostHog33256%
2Built in-house (no product adopted)8214%
3Metabase376%
4Vercel Analytics275%
5Mixpanel193%
6Amplitude (this page)193%
7Segment183%
8Looker Studio122%

What this means

This is an integration problem, not a presence problem. Agents raised Amplitude in 333 sessions and chose it in 19, 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 598 sessions in product analytics 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 product analytics run can be replayed on the board.

If you work on Amplitude: 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 Amplitude?

Yes. Amplitude was chosen in 19 of the 598 judged sessions in product analytics, a 3% install share, ranking fourth in its category.

Does Claude Code recommend Amplitude?

In 4 of the 150 sessions in product analytics run with Claude Code, which is 3%.

Do different coding agents treat Amplitude differently?

Not much. Claude Code, Codex, Cursor and Muse Code chose it at similar rates, between 0% and 7% 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 Amplitude considered but not chosen?

It was raised as a candidate in 333 sessions without being chosen, and chosen in 19. That is a 5% 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.

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