This set builds vocabulary for Supabase's authentication and Row Level Security model.
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At standup, a dev mentions using Supabase's built-in authentication service to handle user sign-up and login instead of building it from scratch. Which feature fits?
Supabase Auth provides a built-in authentication service handling user sign-up, login, and session management, integrated directly with the rest of the Supabase platform including its Postgres database. This saves a team from building and securing authentication logic from scratch. It supports multiple methods like email/password, magic links, and OAuth providers.
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During a design review, the team wants a user's identity to automatically determine which rows they can read or write in the database. Which feature supports this?
Row Level Security policies in the underlying Postgres database can reference the authenticated user's identity, automatically restricting which rows a given user can read or write without needing that logic duplicated in application code. This ties authentication directly into fine-grained data access control. It's a distinctive feature of Supabase's tight integration between auth and its Postgres database.
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In a code review, a dev implements a flow where a user clicks a link in an email to authenticate without typing a password. What is this authentication method called?
A magic link authenticates a user by emailing them a unique, time-limited link that logs them in when clicked, avoiding the need to create and remember a traditional password. This reduces friction for sign-up and login while still requiring proof of email ownership. It's one of several authentication methods Supabase Auth supports alongside traditional password and OAuth flows.
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An incident report shows a table's Row Level Security policy was misconfigured, allowing a user to read another user's private data. What practice would have caught this before deployment?
RLS policies directly control data access at the database level, so a misconfiguration can expose data broadly if not caught, making it important to explicitly test that policies enforce the intended per-user boundaries before deploying. Assuming a policy is correct without verification is a common source of serious data exposure bugs. This testing discipline is essential specifically because RLS failures bypass application-level access checks entirely.
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During a PR review, a teammate asks why the team relies on Supabase Auth combined with RLS instead of enforcing all access control purely in application code. What is the advantage?
Enforcing access control purely in application code means a single overlooked check can expose data, while database-level RLS policies provide a consistent safeguard that applies regardless of which application code path queries the data. This defense-in-depth approach catches gaps that a purely application-level strategy might miss. Combining both layers is generally considered a more robust security posture than relying on either alone.