From the experiment

Do coding agents recommend Fathom?

Coding agents raised Fathom in 77 of 508 judged product analytics sessions and chose it in none of them.

Published September 23, 2026 Read as Markdown

Coding agents raised Fathom in 77 of 508 judged product analytics sessions and chose it in none of them.

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 Fathom. What an agent actually installed.

The numbers

CategoryProduct analytics
Sessions in the category508
Sessions where Fathom was chosen0
Install share0%
Raised as a candidate, not chosen77
Chosen when considered0%
Siteusefathom.com

Which agents raised Fathom

Claude Code, Cursor, Grok Build CLI and Muse Code considered it and none adopted it. Cursor raised it most often, in 26% of its product analytics sessions.

AgentSessionsRaised FathomChose it
Claude Code15034 (23%)0
Codex1500 (0%)0
Cursor14938 (26%)0
Grok Build CLI293 (10%)0
Muse Code302 (7%)0

Which buyers it came up for

It surfaced most for requests written as vibe coder, in 33% of those sessions. Knowing which buyer already has the product in mind tells you which pages to fix first.

Who is askingSessionsRaised it
Vibe coder5117 (33%)
Junior developer20436 (18%)
Senior engineer20224 (12%)
Enterprise team510 (0%)

What Fathom was up against

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

#ProductRuns wonShare
1PostHog27554%
2Built in-house (no product adopted)8216%
3Metabase296%
4Vercel Analytics275%
5Amplitude194%
6Segment173%
7Mixpanel122%
8Looker Studio82%

What this means

Raised 77 times and chosen none is a specific, diagnosable result, and a better starting position than being unknown. The agent has the product in mind. It reached the shortlist 77 times. Something then lost every one of those sessions.

In our data the causes, in the order they occur:

  • The quickstart does not run when pasted, so the agent abandoned it mid-integration.
  • The documentation describes an interface that changed, so the generated code failed.
  • The product name and the package name differ, so the install step went wrong.
  • The fit was genuinely wrong for the repository, which is fine and worth knowing.

All but the last are fixable in days, and the reason is written down in the session transcript.

Where these numbers come from

The 508 sessions in product analytics are part of a published set of 11,878, 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 Fathom: 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 Fathom?

They raise it but do not choose it. Across 77 sessions where Fathom came up as a candidate, agents chose something else every time.

Does Claude Code recommend Fathom?

In 0 of the 150 sessions in product analytics run with Claude Code, which is 0%.

Do different coding agents treat Fathom differently?

Not much. Claude Code, Codex, Cursor and Muse Code chose it at similar rates, between 0% and 0% 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.

Where this comes from

Armature ran 11,878 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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