How to Create an AI-Powered Todo App Using Cursor in 3 Hours

Building a todo app might sound trivial, but what if you could supercharge it with AI? In 2026, tools like Cursor make this not only feasible but also quick. In this tutorial, I’ll walk you through creating an AI-powered todo app using Cursor in just three hours.

Time Estimate

You can finish this in about 3 hours, assuming you have a basic understanding of coding and access to the necessary tools.

Prerequisites

• Cursor: Install the Cursor coding environment (Free tier available).
• Node.js: Make sure you have Node.js installed on your machine.
• MongoDB Atlas: Set up a free-tier database for storing tasks.
• Basic HTML/CSS/JavaScript knowledge: Familiarity with web development basics.

Step-by-Step Guide

Step 1: Set Up Your Cursor Environment

1. Open Cursor and create a new project.

2. Install Dependencies: Use the following command in the terminal to set up the Express framework and Mongoose for MongoDB interaction:

   npm install express mongoose dotenv
   

3. Create Basic Files: Set up the following file structure:

   • index.js (main server file)
   • models/Task.js (Mongoose model for tasks)
   • public/index.html (front-end interface)
   • public/style.css (styling for the app)

Step 2: Build the Backend

1. Set Up Your Server: In index.js, create a simple Express server:

   const express = require('express');
   const mongoose = require('mongoose');
   const app = express();
   require('dotenv').config();
   
   mongoose.connect(process.env.MONGODB_URI, { useNewUrlParser: true, useUnifiedTopology: true });
   
   app.use(express.json());
   app.use(express.static('public'));
   
   app.listen(3000, () => console.log('Server running on http://localhost:3000'));
   

2. Create the Task Model: In models/Task.js, define your task schema:

   const mongoose = require('mongoose');
   
   const TaskSchema = new mongoose.Schema({
       title: String,
       completed: { type: Boolean, default: false },
       createdAt: { type: Date, default: Date.now }
   });
   
   module.exports = mongoose.model('Task', TaskSchema);
   

Step 3: Build the Frontend

1. Create HTML Structure: In public/index.html, create a simple form to add tasks:

   <!DOCTYPE html>
   <html lang="en">
   <head>
       <meta charset="UTF-8">
       <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <link rel="stylesheet" href="style.css">
       <title>AI-Powered Todo App</title>
   </head>
   <body>
       <h1>Todo List</h1>
       <form id="task-form">
           <input type="text" id="task-title" placeholder="Add new task" required>
           <button type="submit">Add Task</button>
       </form>
       <ul id="task-list"></ul>
       <script src="script.js"></script>
   </body>
   </html>
   

2. Style Your App: In public/style.css, add some basic styles to improve the UI.

Step 4: Integrate AI with Cursor

1. Use Cursor's AI Features: In script.js, utilize Cursor's AI capabilities to suggest tasks based on user input.

   const form = document.getElementById('task-form');
   const taskList = document.getElementById('task-list');
   
   form.addEventListener('submit', async (e) => {
       e.preventDefault();
       const title = document.getElementById('task-title').value;
   
       // Call Cursor's AI suggestion function
       const suggestedTasks = await Cursor.aiSuggest(title);
   
       // Display suggestions
       suggestedTasks.forEach(task => {
           const li = document.createElement('li');
           li.textContent = task;
           taskList.appendChild(li);
       });
   });
   

Step 5: Connect to MongoDB

1. Create API Endpoints: Add API routes in index.js to handle task CRUD operations.

   app.post('/tasks', async (req, res) => {
       const task = new Task(req.body);
       await task.save();
       res.status(201).send(task);
   });
   
   app.get('/tasks', async (req, res) => {
       const tasks = await Task.find();
       res.send(tasks);
   });
   

Step 6: Test Your App

1. Run Your Server: Start your server with:

   node index.js
   

2. Access Your App: Open your browser and go to http://localhost:3000 to see your AI-powered todo app in action.

Troubleshooting

• Common Issues: If tasks do not appear, check your MongoDB connection string in the .env file.
• Cursor AI Not Responding: Ensure you have the latest version of Cursor as of February 2026.

What's Next

Now that you’ve built your AI-powered todo app, consider adding features like user authentication or task deadlines. You could also explore integrating more advanced AI features to enhance task suggestions.

Conclusion

Creating an AI-powered todo app with Cursor can be done in just three hours. Start with the basics, integrate AI, and build something that genuinely helps users manage their tasks efficiently.