App Testing Explained for Non-Technical Founders

Without tests, every change is a gamble. Fix a bug, break a feature. Add a feature, break something else. Tests are automated checks that verify your app works correctly. They run in seconds and catch problems before your users do. Every professional software team writes tests — your AI-built app should have them too.

Unit tests check individual functions: does this function calculate the right total? Integration tests check that pieces work together: does submitting this form save to the database? End-to-end (E2E) tests simulate a real user: can someone sign up, log in, and complete a purchase? For most AI-built apps, start with E2E tests for critical flows and integration tests for API endpoints.

Test the paths where failure costs money or trust: user signup and login, payment processing, core feature workflows, and data integrity (can one user see another's data?). If something breaking would cause you to lose customers, it needs a test.

100% test coverage is unnecessary. Aim for high coverage on critical paths (auth, payments, core features) and basic smoke tests for everything else. A good rule of thumb: if you're confident enough to deploy on a Friday afternoon, you have enough tests.

Adding tests to an existing AI-built app is one of our most common service requests. We set up the testing framework, write tests for critical paths, and configure CI to run them automatically. Starting from scratch typically takes a few days for a standard app.