Database And Backend Supabase
Lovable · Lovable
AI App Builder — Lovable
Lovable evals — Database & Backend (Supabase) (relift v3 InfraRed)
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 | Schema changes in Supabase; client code uses typed supabase.from('notes'). | Regenerate the typed types (supabase gen types typescript) after every schema change and include the regenerated file in the same commit. Build will catch drift; client gets type-safe access to new columns. | Pass / FailAi Platformmedium |
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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