From the experiment

Do coding agents recommend Fuse.js?

Fuse.js was chosen in 1% of 876 judged search sessions, ranking number 12. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

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

Fuse.js was chosen in 1% of 876 judged search sessions, ranking number 12. It was also raised as a candidate in 41 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 search inside a realistic codebase. Not what a chat assistant says about Fuse.js. What an agent actually installed.

The numbers

CategorySearch
Sessions in the category876
Sessions where Fuse.js was chosen8
Install share1%
Rank in category12 of 18
Codebases it won in2
Raised as a candidate, not chosen41
Chosen when considered16%
Sitefusejs.io

By agent

With 8 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 Fuse.jsShare
Claude Code20510%
Codex26173%
Cursor19900%
Grok Build CLI5300%
Muse Code15800%

By who was asking

Fuse.js performs similarly across the four kinds of buyer, from 0% to 6%. That is unusual: the category leader changed with the persona in 23 of the 31 categories we measured.

Who is askingSessionsChose Fuse.jsShare
Vibe coder12786%
Junior developer29600%
Senior engineer20100%
Enterprise team25200%

What Fuse.js was up against

The full ranking in search, from the same sessions:

#ProductRuns wonShare
1Built in-house (no product adopted)20824%
2Postgres Full-Text Search14016%
3OpenSearch10412%
4Typesense839%
5Meilisearch748%
6Oracle Indexed Search465%
7Algolia455%
8Elasticsearch425%

What this means

This is an integration problem, not a presence problem. Agents raised Fuse.js in 41 sessions and chose it in 8, 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 876 sessions in search are part of a published set of 15,000, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every search run can be replayed on the board.

If you work on Fuse.js: 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 Fuse.js?

Yes. Fuse.js was chosen in 8 of the 876 judged sessions in search, a 1% install share, ranking number 12 in its category.

Does Claude Code recommend Fuse.js?

In 1 of the 205 sessions in search run with Claude Code, which is 0%.

Do different coding agents treat Fuse.js 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 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 Fuse.js considered but not chosen?

It was raised as a candidate in 41 sessions without being chosen, and chosen in 8. That is a 16% conversion from considered to chosen.

Where this comes from

Armature ran 15,000 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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