GitHub Copilot Review: My Honest Experience With the AI Coding Assistant

GitHub Copilot Review: After using GitHub’s AI-powered code completion tool for a few months, I can confidently say it has changed the way I write code. From helping with boilerplate Express.js routes to suggesting accurate MongoDB queries, GitHub Copilot has become my silent but powerful coding partner.

🚀 What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant developed by GitHub and OpenAI. It suggests lines of code or entire functions as you type, based on context from your codebase and natural language comments.

As someone who works with Node.js, JavaScript, and Python, I was curious to see if it could improve my productivity and it did.

💡 Why I Tried GitHub Copilot

Before Copilot, I often dealt with:

• Writing repetitive boilerplate code
• Constantly Googling syntax or using chat gpt
• Getting stuck at “blank screen syndrome” when starting new functions

I wanted a smarter way to code and Copilot delivered.

⚙️ How I Set It Up

Setup was fast and smooth:

1. Installed the GitHub Copilot extension in VSCode
2. Signed in with GitHub
3. Started typing—and Copilot began suggesting code

💻 How Copilot works ?

✅ 1. Express.js Route Creation

While creating routes in Node.js, I typed the route comment, and Copilot wrote the rest:

// Express.js route for getting all users
app.get('/users', async (req, res) => {
  try {
    const users = await User.find();
    res.json(users);
  } catch (err) {
    res.status(500).json({ error: "Server Error" });
  }
});

✅ 2. MongoDB Query Autocomplete

// Find user by email using Mongoose
const user = await User.findOne({ email: req.body.email });

✅ 3. JWT Token Generation

const jwt = require('jsonwebtoken');

const token = jwt.sign(
  { id: user._id },
  process.env.JWT_SECRET,
  { expiresIn: '1h' }
);

✅ 4. React Form Validation

// React email validation with simple regex
const validateEmail = (email) => {
  return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.(email);
};

⭐ What I Loved About GitHub Copilot

• Context awareness: It understands file context and naming conventions
• Natural language support: Writing a comment generates functional code
• Speed: Speeds up boilerplate heavy tasks
• Fewer distractions: Less time spent switching to browser for documentation

💭 Final Thoughts

GitHub Copilot didn’t replace my skills it amplified them. It’s like having a junior dev offering intelligent suggestions, letting me stay focused on architecture and logic.

If you’re new to coding, Copilot can help you learn by example. If you’re experienced, it’s a productivity booster you won’t want to turn off.

📌 Should You Use GitHub Copilot?

Yes, if you want to:

• Code faster
• Skip repetitive work
• Stay in your editor and flow

No, if you rely on it blindly or don’t review the code it suggests.

🔗 Useful Links

• GitHub Copilot – Official Page
• GitHub Copilot Documentation

📣 Share Your Experience

Have you used GitHub Copilot? What’s your opinion? Drop a comment below  Let’s talk about how AI is changing the way we code in 2025 and beyond!