From the experiment

Do coding agents recommend Supabase?

Supabase was chosen in 3% of 496 judged databases sessions, ranking fifth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

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

Supabase was chosen in 3% of 496 judged databases sessions, ranking fifth. It was also raised as a candidate in 281 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 databases inside a realistic codebase. Not what a chat assistant says about Supabase. What an agent actually installed.

The numbers

CategoryDatabases
Sessions in the category496
Sessions where Supabase was chosen17
Install share3%
Rank in category5 of 15
Codebases it won in5
Raised as a candidate, not chosen281
Chosen when considered6%
Sitesupabase.com

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 SupabaseShare
Claude Code14732%
Codex139107%
Cursor14211%
Grok Build CLI1816%
Muse Code5024%

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 23 of the 31 categories we measured.

Who is askingSessionsChose SupabaseShare
Vibe coder8300%
Junior developer15332%
Senior engineer260145%

What Supabase was up against

The full ranking in databases, from the same sessions:

#ProductRuns wonShare
1Neon31664%
2Azure Database for PostgreSQL Flexible Server459%
3Azure SQL Database418%
4Amazon RDS for PostgreSQL296%
5Supabase (this page)173%
6Scaleway Managed Database for PostgreSQL133%
7MotherDuck112%
8DigitalOcean Managed PostgreSQL71%

What this means

This is an integration problem, not a presence problem. Agents raised Supabase in 281 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 496 sessions in databases are part of a published set of 15,051, 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 17 of the 496 judged sessions in databases, a 3% install share, ranking fifth in its category.

Does Claude Code recommend Supabase?

In 3 of the 147 sessions in databases run with Claude Code, which is 2%.

Do different coding agents treat Supabase differently?

Not much. Claude Code, Codex, Cursor and Muse Code chose it at similar rates, between 1% and 7% 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 Supabase considered but not chosen?

It was raised as a candidate in 281 sessions without being chosen, and chosen in 17. That is a 6% conversion from considered to chosen.

Where this comes from

Armature ran 15,051 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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