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 September 3, 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 14 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 chosen14
Chosen when considered50%
Sitedbos.dev

By agent

With 14 wins spread across three 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 14 of the 18 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

DBOS Transact was raised in 14 sessions and chosen in 14. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough.

Where these numbers come from

The 681 sessions in agent frameworks are part of a published set of 5,292, 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. The three agents 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 51 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 14 sessions without being chosen, and chosen in 14. That is a 50% conversion from considered to chosen.

Where this comes from

Armature ran 5,292 judged sessions with Claude Code, Codex and Cursor inside 51 realistic codebases, and published every run. The numbers on this page come from that work.

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