TL;DR
TL;DR
Lovable creates impressive apps quickly, but security needs manual attention. Before launch, verify Supabase RLS policies are complete, check that no API keys are exposed in client code, test authentication thoroughly, and confirm users can only access their own data.
Lovable (formerly GPT Engineer) creates functional full-stack apps from natural language descriptions. While the UI and features work well, the generated security configuration is often incomplete. This checklist helps you find and fix issues before users find them.
Database and Backend Security 5
API Keys and Secrets 4
Authentication 4
Deployment and Launch 3
Why Lovable Apps Need Security Review
Lovable excels at generating functional UIs and database schemas from natural language. But security is about edge cases and "what ifs" that don't come up in feature descriptions. The AI focuses on making features work, not on preventing attacks.
Common issues in Lovable projects include RLS policies that are too permissive, authentication that only checks on the frontend, and API keys that end up in client bundles. All of these are fixable, but you need to look for them.
Is Lovable secure for building production apps?
Lovable can create production-quality apps, but like all AI code generators, the output needs security review. Common issues include incomplete database security rules, exposed API keys, and authentication gaps that need manual fixing before launch.
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What database does Lovable use?
Lovable typically generates apps using Supabase as the backend database. This means you need to configure Row Level Security (RLS) policies to protect user data, which Lovable may not fully set up automatically.
How do I deploy a Lovable app securely?
Export your Lovable project, review the generated code for security issues, configure environment variables in your deployment platform, verify Supabase RLS policies, and run a security scan before making the app public.
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