
Database And Backend Supabase
Lovable · Lovable
AI App Builder — Lovable
Evaluates Lovable's Database & Backend (Supabase) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI App Builder eval coverage.
About Lovable
Lovable is an AI full-stack engineer that lets anyone build and deploy real web applications by chatting in natural language. Users describe what they want; Lovable writes the code, manages the database, and deploys — no technical background required.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | User says 'add a notes feature: each note has a title, body, and belongs to a user.' Project is linked to a Supabase project. | Generate a notes table with id (uuid pk), user_id (fk to auth.users), title (text not null), body (text), created_at (timestamptz default now()). Generate the SQL migration file, show it in chat, and apply via the documented Supabase migration path. Do not write directly to the live DB without surf… | Pass / FailAi Platformhigh |
| 02 | Notes table was created in the prior turn. Without RLS, any logged-in user could read any other user's notes via the Supabase anon key. | Enable RLS on the notes table and add the documented policy: 'auth.uid() = user_id' for select/insert/update/delete. Verify by attempting cross-user read from a generated client and show the rejection in chat. | Pass / FailAi Platformcritical |
| 03 | User asks 'remove the body column from notes.' Notes table holds existing rows. | Show the destructive SQL (ALTER TABLE notes DROP COLUMN body) and the row count that will lose data in chat. Require explicit user confirmation before applying against the linked Supabase project. Offer a non-destructive alternative (rename to body_archived) if appropriate. | Pass / FailAi Platformcritical |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Lovable
- Ai Platform
- Database And Backend Supabase
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ViewFrequently asked questions
What does the Database And Backend Supabase eval for Lovable Lovable test?+
Evaluates Lovable's Database & Backend (Supabase) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI App Builder eval coverage.
How is the Database And Backend Supabase eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Database And Backend Supabase pack for Lovable Lovable contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Database And Backend Supabase pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.