From the experiment

Do coding agents recommend DBOS Transact?

DBOS Transact was chosen in 2% of 681 judged agent frameworks sessions, ranking tenth. Measured with Claude Code, Codex and Cursor.

Published October 14, 2026 Read as Markdown

DBOS Transact was chosen in 2% of 681 judged agent frameworks sessions, ranking tenth. It was also raised as a candidate in 11 further sessions without being chosen.

This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in agent frameworks inside a realistic codebase. Not what a chat assistant says about DBOS Transact. What an agent actually installed.

The numbers

CategoryAgent frameworks
Sessions in the category681
Sessions where DBOS Transact was chosen14
Install share2%
Rank in category10 of 35
Codebases it won in3
Raised as a candidate, not chosen11
Chosen when considered56%
Sitedbos.dev

By agent

With 14 wins spread across 3 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 DBOS TransactShare
Claude Code23783%
Codex24321%
Cursor20142%

By who was asking

DBOS Transact performs similarly across the four kinds of buyer, from 0% to 6%. That is unusual: the category leader changed with the persona in 24 of the 31 categories we measured.

Who is askingSessionsChose DBOS TransactShare
Vibe coder16300%
Junior developer15700%
Senior engineer254146%
Enterprise team10700%

What DBOS Transact was up against

The full ranking in agent frameworks, from the same sessions:

#ProductRuns wonShare
1Built in-house (no product adopted)17025%
2Vercel AI SDK9514%
3Cursor SDK9414%
4Inngest507%
5Temporal294%
6Prism284%
7OpenAI Agents SDK244%
8LangGraph233%

What this means

Agents almost never raise DBOS Transact without choosing it: 11 sessions raised against 14 chosen. When it gets considered, it usually wins. The constraint is how rarely it gets considered at all, which is a presence problem: templates, framework integrations and pages that answer the configuration and production questions agents actually search for.

Where these numbers come from

The 681 sessions in agent frameworks 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 agent frameworks run can be replayed on the board.

If you work on DBOS Transact: 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 DBOS Transact?

Yes. DBOS Transact was chosen in 14 of the 681 judged sessions in agent frameworks, a 2% install share, ranking tenth in its category.

Does Claude Code recommend DBOS Transact?

In 8 of the 237 sessions in agent frameworks run with Claude Code, which is 3%.

Do different coding agents treat DBOS Transact differently?

Not much. Claude Code, Codex and Cursor chose it at similar rates, between 1% and 3% 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 DBOS Transact considered but not chosen?

It was raised as a candidate in 11 sessions without being chosen, and chosen in 14. That is a 56% 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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