Learn how to build a web app using Windsurf AI Claude 3.7 in this step-by-step tutorial. Discover how AI-powered coding simplifies front-end and back-end development!

The rise of AI-powered development tools has made it easier than ever to build web applications efficiently. Windsurf AI Claude 3.7 is a powerful AI assistant that helps developers generate code, debug, and optimize applications faster than traditional methods. In this tutorial, we’ll walk through how to use Windsurf AI Claude 3.7 to create a simple web app from scratch.

Why Use Windsurf AI Claude 3.7 for Web Development?

Windsurf AI Claude 3.7 enhances development by:
✅ Generating clean and efficient code for front-end and back-end.
✅ Debugging and optimizing existing code.
✅ Enhancing productivity by automating repetitive tasks.
✅ Providing intelligent suggestions based on best practices.

Now, let’s dive into building a simple web application using Windsurf AI Claude 3.7.

Step 1: Setting Up Your Project

Before we begin, make sure you have the following installed:

• Node.js & npm (for backend and package management)
• Visual Studio Code or any text editor
• Git & GitHub (optional for version control)

Create a new project folder:

mkdir windsurf-webapp
cd windsurf-webapp

Initialize a new Node.js project:

npm init -y

Step 2: Installing Dependencies

We’ll need a framework for the backend (Express.js) and a frontend (React). Install them using:

npm install express cors dotenv
npx create-react-app client

This will set up a React frontend inside a client/ directory.

Step 3: Using Windsurf AI Claude 3.7 to Generate Backend Code

Open Windsurf AI Claude 3.7 and prompt it:
💡 “Generate an Express.js server that serves an API endpoint to fetch user data.”

It will generate a server script like this:

const express = require("express");
const cors = require("cors");

const app = express();
app.use(cors());
app.use(express.json());

app.get("/api/users", (req, res) => {
  res.json([{ id: 1, name: "John Doe" }, { id: 2, name: "Jane Doe" }]);
});

const PORT = process.env.PORT || 5000;
app.listen(PORT, () => console.log(`Server running on port ${PORT}`));

Save this as server.js and run:

node server.js

Your backend is now running at http://localhost:5000/api/users.

Step 4: Building the Frontend with Windsurf AI Claude 3.7

Ask Windsurf AI Claude 3.7:
💡 “Generate a React component that fetches and displays user data from an API.”

It will provide:

import React, { useEffect, useState } from "react";

const UsersList = () => {
  const [users, setUsers] = useState([]);

  useEffect(() => {
    fetch("http://localhost:5000/api/users")
      .then((res) => res.json())
      .then((data) => setUsers(data));
  }, []);

  return (
    <div>
      <h2>User List</h2>
      <ul>
        {users.map((user) => (
          <li key={user.id}>{user.name}</li>
        ))}
      </ul>
    </div>
  );
};

export default UsersList;

Save this inside the client/src/ folder as UsersList.js and import it into App.js:

import React from "react";
import UsersList from "./UsersList";

function App() {
  return (
    <div>
      <h1>My Web App</h1>
      <UsersList />
    </div>
  );
}

export default App;

Run the frontend:

cd client
npm start

Your React app will now display user data from the Express API!

Step 5: Deploying the Web App

For backend deployment, use Railway or Render:

git init
git add .
git commit -m "Initial commit"
git push origin main

For frontend deployment, use Vercel or Netlify:

npm run build

Upload the build/ folder to your hosting provider.

Conclusion

Using Windsurf AI Claude 3.7, we quickly built a full-stack web app with a React frontend and Express backend. With its AI-assisted development, coding has never been easier!