From the experiment

Do coding agents recommend Docling?

Docling was chosen in 3% of 623 judged document processing sessions, ranking ninth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

Published September 23, 2026 Read as Markdown

Docling was chosen in 3% of 623 judged document processing sessions, ranking ninth. It was also raised as a candidate in 118 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 document processing inside a realistic codebase. Not what a chat assistant says about Docling. What an agent actually installed.

The numbers

CategoryDocument processing
Sessions in the category623
Sessions where Docling was chosen17
Install share3%
Rank in category9 of 40
Codebases it won in2
Raised as a candidate, not chosen118
Chosen when considered13%
Sitedocling-project.github.io

By agent

With 17 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 DoclingShare
Claude Code18084%
Codex17532%
Cursor18032%
Grok Build CLI30310%
Muse Code5800%

By who was asking

Docling performs similarly across the four kinds of buyer, from 0% to 7%. That is unusual: the category leader changed with the persona in 23 of the 29 categories we measured.

Who is askingSessionsChose DoclingShare
Vibe coder5300%
Junior developer26710%
Senior engineer211157%
Enterprise team9211%

What Docling was up against

The full ranking in document processing, from the same sessions:

#ProductRuns wonShare
1Anthropic Claude13622%
2Azure AI Document Intelligence13622%
3Amazon Textract7712%
4Google Cloud Document AI447%
5Google Gemini396%
6OpenAI models224%
7Ocrolus193%
8Apache PDFBox183%

What this means

This is an integration problem, not a presence problem. Agents raised Docling in 118 sessions and chose it in 17, 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 623 sessions in document processing 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 document processing run can be replayed on the board.

If you work on Docling: 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 Docling?

Yes. Docling was chosen in 17 of the 623 judged sessions in document processing, a 3% install share, ranking ninth in its category.

Does Claude Code recommend Docling?

In 8 of the 180 sessions in document processing run with Claude Code, which is 4%.

Do different coding agents treat Docling differently?

Yes, and by a wide margin. Grok Build CLI chose it in 10% of its runs and Muse Code in 0%.

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 Docling considered but not chosen?

It was raised as a candidate in 118 sessions without being chosen, and chosen in 17. That is a 13% conversion from considered to chosen.

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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