V0 AI Frontend Writes Perfect Code, Forgets to Tell Flask About It

Developers using AI-powered frontends like V0 may encounter integration issues with their backend, leading to broken applications. A custom backend, such as a Flask API, is essential to define JSON structure, handle business logic, and ensure security. Without control over the backend, developers are vulnerable to subtle bugs and security holes. For instance, a Flask backend may return a JSON response with different field names than expected by the frontend, causing errors. To resolve this, developers can normalize backend responses to match frontend expectations. A custom backend provides flexibility to evolve and handle multiple routes, user roles, and third-party integrations. By building a custom backend first, developers can define contracts, enforce rules, and then use AI to supercharge their frontend, resulting in a more robust and secure application. This approach is crucial for developers to avoid painful fixes and ensure a seamless user experience.