How to Build a Simple Chatbot Using GitHub Copilot in 1 Hour

If you’re a solo founder or side project builder, the idea of creating a chatbot might feel daunting. But what if I told you that you could whip one up in just one hour using GitHub Copilot? Yes, it’s possible, and I’m here to guide you through it step-by-step. In 2026, with the advancements in AI coding tools, building a functional chatbot has never been easier or more accessible.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have the following:

1. GitHub Account: Create one if you don’t have it already.
2. Visual Studio Code (VS Code): Download and install if you haven't yet.
3. GitHub Copilot Subscription: GitHub Copilot costs $10/month, but you can use a free trial if you're a new user.
4. Node.js: Install it from the official website. This will allow you to run JavaScript code.

Step 1: Set Up Your Environment (10 mins)

1. Open VS Code and create a new folder for your chatbot project.

2. Open the terminal in VS Code and run the following command to initialize a new Node.js project:

   npm init -y
   

3. Install the necessary packages for your chatbot:

   npm install express body-parser
   

This sets up a basic Node.js environment for your chatbot.

Step 2: Create Your Chatbot Logic (20 mins)

1. Create a new file called index.js in your project folder.

2. Use GitHub Copilot to help you write the basic server code. Start typing the following line and see how Copilot suggests the rest:

   const express = require('express');
   const bodyParser = require('body-parser');
   const app = express();
   app.use(bodyParser.json());
   

3. Next, add a simple endpoint for your chatbot:

   app.post('/chatbot', (req, res) => {
       const userMessage = req.body.message;
       const botResponse = `You said: ${userMessage}`; // Simple echo response
       res.json({ response: botResponse });
   });
   

4. Finally, set your server to listen on a port:

   const PORT = process.env.PORT || 3000;
   app.listen(PORT, () => {
       console.log(`Server is running on port ${PORT}`);
   });
   

Step 3: Test Your Chatbot (20 mins)

1. Start your server by running:

   node index.js
   

2. Open a tool like Postman or Curl to test your chatbot. Send a POST request to http://localhost:3000/chatbot with a JSON body like:

   {
       "message": "Hello, chatbot!"
   }
   

3. You should receive a response that echoes your message.

Troubleshooting: What Could Go Wrong

• Error Message: If you encounter an error that says the server is not running, make sure you've installed all packages and that your terminal is in the correct directory.
• Response Issues: Double-check your endpoint and JSON formatting in Postman.

What's Next: Enhancing Your Chatbot

Once you have your basic chatbot up and running, consider the following improvements:

• Integrate with an AI API: Use something like OpenAI's API to provide more sophisticated responses.
• Add User Authentication: Use JWT for secure user sessions.
• Deploy Your Chatbot: Consider platforms like Heroku or Vercel for deployment.

Conclusion: Start Here

Building a simple chatbot in one hour using GitHub Copilot is not only feasible but also a practical exercise for indie hackers. By following these steps, you’ve laid the groundwork for a project that can evolve into something much more complex.

If you're looking for more detailed discussions on tools and strategies, check out our podcast, Built This Week, where we share real experiences and insights.