I Built My App in Lovable. When Do I Need a Developer?
A practical decision guide for founders using Lovable: what you can keep prompting, what deserves engineering review, and when occasional or ongoing support fits.
Founder of Codefrost and full-stack software architect with more than 20 years of software-development experience. Claude Certified Architect — Foundations.
A practical decision guide for founders using Lovable: what you can keep prompting, what deserves engineering review, and when occasional or ongoing support fits.
An AI-built prototype can look finished while still carrying launch-blocking risks. Here are the ten patterns I would investigate before letting real users or money into the system.
Production readiness is the ability to detect, contain, explain, and recover from failure. Here is the minimum useful system for a solo founder or small team.
Security failures in AI-built apps are rarely one mysterious hack. They are usually ordinary trust-boundary mistakes shipped faster and repeated across more code paths.
A successful preview URL is not proof of a repeatable production deployment. Use this guide to find environment drift, exposed secrets, build assumptions, migration races, and rollback gaps.
The database is not production-ready just because CRUD works. Before launch, verify who owns every record, whether rules match queries, how schema changes deploy, and whether backups can actually be restored.
A user can be correctly logged in and still be allowed to read or change the wrong data. Here is how to test the boundary that AI-built apps frequently miss.
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