From the experiment

Do coding agents recommend Supabase?

Supabase was chosen in 3% of 356 judged databases sessions, ranking fifth. Measured with Claude Code, Codex and Cursor.

Published September 3, 2026 Read as Markdown

Supabase was chosen in 3% of 356 judged databases sessions, ranking fifth. It was also raised as a candidate in 232 further sessions without being chosen.

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

The numbers

CategoryDatabases
Sessions in the category356
Sessions where Supabase was chosen10
Install share3%
Rank in category5 of 14
Codebases it won in3
Raised as a candidate, not chosen232
Chosen when considered4%
Sitesupabase.com

By agent

With 10 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 SupabaseShare
Claude Code12932%
Codex10366%
Cursor12411%

By who was asking

Supabase performs similarly across the four kinds of buyer, from 0% to 5%. That is unusual: the category leader changed with the persona in 14 of the 18 categories we measured.

Who is askingSessionsChose SupabaseShare
Vibe coder6000%
Junior developer10600%
Senior engineer190105%

What Supabase was up against

The full ranking in databases, from the same sessions:

#ProductRuns wonShare
1Neon23666%
2Azure SQL Database3510%
3Azure Database for PostgreSQL Flexible Server298%
4Amazon RDS for PostgreSQL175%
5Supabase (this page)103%
6MotherDuck72%
7Scaleway Managed Database for PostgreSQL72%
8Aiven51%

What this means

This is an integration problem, not a presence problem. Agents raised Supabase in 232 sessions and chose it in 10, 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 356 sessions in databases 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 databases run can be replayed on the board.

If you work on Supabase: 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 Supabase?

Yes. Supabase was chosen in 10 of the 356 judged sessions in databases, a 3% install share, ranking fifth in its category.

Does Claude Code recommend Supabase?

In 3 of the 129 sessions in databases run with Claude Code, which is 2%.

Do different coding agents treat Supabase differently?

Not much. The three agents chose it at similar rates, between 1% and 6% 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 Supabase considered but not chosen?

It was raised as a candidate in 232 sessions without being chosen, and chosen in 10. That is a 4% 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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