Introduction
You've just finished your first vibe coding project on Lovable. The app worked perfectly in preview: buttons clicked, data loaded, the interface was a joy to behold. You proudly hit "Deploy" — and an hour later, you got a flood of messages from users: "won't load," "error 500," "white screen." Sound familiar?
Vibe coding is a powerful trend of 2025–2026, where developers and even non-programmers create apps with the help of AI assistants. Lovable, as one of the leaders in this field, allows you to quickly build interfaces and logic based on text descriptions. But the devil, as always, is in the details. According to a 2025 Stack Overflow survey, over 40% of projects created with AI-generated code encounter critical errors after deployment. Why does this happen, and how can you avoid it?
In this article, I'll break down the top 5 reasons why your Lovable app might fall apart in production. And I'll give you concrete tips on how to turn "vibe coding" into "reliable coding."
1. Ignoring CORS and Browser Security Policies
The most common problem beginners face in vibe coding is CORS (Cross-Origin Resource Sharing). Lovable generates a frontend that, by default, runs on one domain, while your backend or API runs on another. The browser blocks such requests.
Why does it break after deployment?
- In preview mode, Lovable often uses a proxy server that automatically handles CORS.
- In production, there's no proxy, and the browser starts blocking requests.
How to fix it:
- Configure CORS on your backend (e.g., in Express.js, add the cors middleware).
- Ensure that your hosting settings (Vercel, Netlify, your own server) allow the Access-Control-Allow-Origin header.
- Use environment variables to specify the frontend domain.
Example:
app.use(cors({
origin: process.env.FRONTEND_URL || 'http://localhost:3000',
methods: ['GET', 'POST'],
credentials: true
}));
2. Lack of Error Handling and Fallback Interfaces
Vibe coding often focuses on the "happy path" — the scenario where everything works perfectly. But in the real world, APIs can return errors, the network can drop, and the database can go down.
Why does it break after deployment?
- Lovable generates code that assumes the server response will always be successful.
- When an error occurs (e.g., 404 or 500), the app doesn't show the user a clear message — just a white screen or infinite loading.
How to fix it:
- Add try/catch blocks to all asynchronous calls.
- Create fallback components: "Loading...", "Error: try again later", "No data."
- Use Error Boundaries in React (if your project is on React) — a component that catches errors in child components and displays a fallback UI.
Example Error Boundary:
class ErrorBoundary extends React.Component {
constructor(props) {
super(props);
this.state = { hasError: false };
}
static getDerivedStateFromError(error) {
return { hasError: true };
}
render() {
if (this.state.hasError) {
return <h2>Something went wrong. Please refresh the page.</h2>;
}
return this.props.children;
}
}
3. Hardcoded API Keys and Secrets
One of the most dangerous practices that vibe coding spawns is embedding API keys, access tokens, and other secrets directly into the frontend code.
Why does it break after deployment?
- Keys hardcoded in the code become visible to everyone in the page's source code.
- Attackers can steal them and use them to attack your API.
- If a key is compromised, the provider (e.g., OpenAI, Stripe, Telegram) may block your account.
How to fix it:
- Never store secrets in frontend code.
- Use environment variables (.env files) and server-side proxies.
- Set up your backend to accept requests from the frontend and then make API calls with the keys itself.
- Lovable supports connecting to Telegram via API — more details at asibiont.com/courses
Bad example:
const API_KEY = 'sk-1234567890abcdef';
Good example:
const API_KEY = process.env.REACT_APP_API_KEY;
4. Unoptimized Database and API Queries
Vibe coding generates simple but often inefficient queries. In preview with 10 records, this is unnoticeable. In production with thousands of users, it's a disaster.
Why does it break after deployment?
- Lovable may generate queries that load all data without pagination.
- Lack of indexes in the database leads to slow responses.
- Repeated duplicate requests to the same API without caching.
How to fix it:
- Implement pagination: load data in chunks (20–50 records at a time).
- Add caching at the application level (e.g., React Query or SWR).
- Set up indexes in the database on fields that are frequently searched.
- Use debounce for search queries (to avoid sending a request on every keystroke).
Example of pagination:
const [page, setPage] = useState(1);
const limit = 20;
const { data, error } = useSWR(`/api/items?page=${page}&limit=${limit}`, fetcher);
5. Forgetting About Application State and Context
Vibe coding often generates components that work in isolation. But in a real application, data must be passed between components: user logs in → their name should appear in the header; adds an item to the cart → the counter should update.
Why does it break after deployment?
- State is stored locally in one component, and other components don't know about it.
- When navigating between pages (routing), the state resets.
- Global state management is used, but synchronization with localStorage or the server is not configured.
How to fix it:
- Use context (React Context) or global state management (Zustand, Redux Toolkit) for data that many components need.
- Save critical data (auth token, user settings) in localStorage or sessionStorage.
- On app load, check for saved data and restore the state.
Example with React Context:
const AuthContext = React.createContext();
function AuthProvider({ children }) {
const [user, setUser] = useState(null);
useEffect(() => {
const savedUser = localStorage.getItem('user');
if (savedUser) setUser(JSON.parse(savedUser));
}, []);
return (
<AuthContext.Provider value={{ user, setUser }}>
{children}
</AuthContext.Provider>
);
}
Conclusion
Vibe coding is a revolutionary approach that democratizes development. But it doesn't negate the basic principles of reliability and security. The five problems described are not a death sentence, but a challenge that can be overcome with the right tools and practices.
My advice: after Lovable generates the code, don't rush to deploy it "as is." Spend 15–20 minutes manually checking these five points. Add error handling, check CORS, move secrets to the environment, optimize queries, and set up global state. Then your app will work not only in preview but also in the real world.
Remember: the best code is the one that doesn't break when the user clicks on it.
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