Testing Flask Apps Built with AI

AI tools often generate Flask applications with security-critical oversights. Missing CSRF protection on forms, hardcoded secret keys, and debug mode left enabled are dangerously common. These issues do not cause visible bugs during development but create serious vulnerabilities in production.

Route handling is another area where AI-generated Flask code falls short. Missing HTTP method restrictions, incorrect URL parameter types, and route handler functions that do not handle all possible input states lead to 500 errors that users encounter but developers never see during their limited testing.

Flask's lack of built-in input validation means AI tools must add it manually, and they frequently forget. Form submissions may accept and process invalid data, API endpoints may crash on unexpected JSON structures, and file uploads may not validate file types or sizes.

Flask's session system is cookie-based by default, and AI tools often misconfigure it. Sessions may expire too quickly, fail to persist across requests, or store sensitive data that should remain server-side. When AI tools add Flask-Login or other authentication extensions, the integration is frequently incomplete.

Password hashing may use outdated algorithms, login rate limiting may be absent, and account recovery flows may have logic errors that prevent users from regaining access. These issues only surface when real users go through the complete authentication lifecycle.

Testers on DidItWork.app test every aspect of your authentication system: registration, login, logout, password reset, session persistence, and remember-me functionality. They verify that protected routes actually require authentication and that user data remains isolated between sessions.

Deploy your Flask app and submit it for testing. Testers evaluate the entire application including page rendering, form handling, file operations, and any API endpoints. They test with various input types and verify that error handling provides useful feedback.

For Flask apps that serve both a web interface and an API, testers exercise both surfaces. They verify that the web interface correctly calls the API, that API responses are properly formatted, and that error states propagate correctly from backend to frontend.