Taking Your Lovable App to Production: What AI Gets Wrong

The Lovable preview is not production. It is a fast, forgiving sandbox where rough edges do not matter. Production is where real users find every rough edge simultaneously, where security holes get exploited, and where an app that works for one person can break for a thousand.

Here is what you need to set up before your Lovable app is genuinely production-ready.

1. Audit Environment Variables

Export your project and check every file for hardcoded API keys, database credentials, or secrets. Any string that looks like a key or password should be in an environment variable, not in your code. This is the most common security issue in AI-generated apps.

2. Add Error Monitoring

Add Sentry (free tier available) to catch and report JavaScript errors automatically. Without error monitoring, you find out about production crashes when users complain — not before.

3. Review All Supabase RLS Policies

Go through every Supabase table and ask: can an anonymous user read data they should not? Can a logged-in user access another user's data? AI-generated RLS policies are often either too permissive or missing entirely.

4. Custom Domain and SSL

Set up your custom domain, verify SSL is working, and ensure all HTTP traffic redirects to HTTPS. Update your Supabase redirect URLs to your production domain.

5. Performance Check

Run your app through PageSpeed Insights. A score below 70 on mobile means users on slower connections will have a poor experience. Common issues: unoptimised images, no code splitting, synchronous JavaScript loading.

6. Mobile Testing

Test every page on an actual phone. Browsers are forgiving; real phones are not. Check that buttons are large enough to tap, text is readable without zooming, and forms work on a small screen keyboard.

7. Database Backups

Supabase free tier includes daily backups with short retention. For a production app with real user data, enable point-in-time recovery (paid plan) or export regular backups of critical tables.

8. Rate Limiting

Any endpoint that sends emails or calls a paid external API needs rate limiting. A single bot can drain your email credits or exhaust your API quota in minutes without it.

9. Test With Real Users First

Give 3 to 5 people who match your target user a link and watch them use it without guidance. The confusion they show you is your fix list. Launch after addressing the critical blockers.

10. Legal Basics

If your app collects user data, you need a Privacy Policy. If it processes payments, you need Terms of Service. These are legal requirements that AI builders routinely skip.

Taking an AI-built app to production properly usually takes one to two days of developer work — reviewing code, setting up infrastructure, and closing security and performance gaps. We handle this at Saurabh Infosys.