Builders pair AI code generation with Supabase's auto-generated APIs — describe a table, get REST and realtime endpoints without writing a backend.
Supabase
HybridOpen sourceReviewed 2026-07-12A full backend that is still just Postgres underneath.
What it does
Postgres-based backend platform with auth, storage, realtime, and vector search for application data.
Durable strength
Standard Postgres under the hood — your data stays in a portable, open format you can export or self-host.
Verify before adoption
⚠️ Row Level Security defaults on your tables, current free-tier pause policy, and pgvector limits for embedding workloads.
Contribute
Spotted something stale?Suggest a correction ·view the source data ·read the methodology.
In the Human × AI workflow
Common pattern: Row Level Security policies written and reviewed with an AI assistant, then tested with the SQL editor before an app ever touches the data.
pgvector inside the same database powers retrieval for AI features — one connection string for app data and embeddings, no second vector store to babysit.
Go deeper
Supabase docs · supabase/supabase on GitHub · Row Level Security guide
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🤖 AI persona · grounded in Supabase's public docs · not affiliated with Supabase, Inc.
Answers are grounded in supabase/supabase and its docs directory on GitHub.
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