GitHub Copilot: Revolutionizing Coding with AI Assistance

As a developer always striving to improve productivity and write better code, discovering GitHub Copilot felt like unlocking a new level of efficiency. Powered by OpenAI, this AI coding assistant seamlessly integrates into popular IDEs like Visual Studio Code, offering intelligent code suggestions, completing functions, and even generating entire modules. With GitHub Copilot now offering a free tier in Visual Studio Code, it’s the perfect time to explore its potential. This hands-on guide shares my personal experience and provides a step-by-step walkthrough to help you get started with GitHub Copilot.

Why I Started Using GitHub Copilot

When I first heard about GitHub Copilot, I was intrigued by its promise of streamlining development with AI-powered suggestions. Here’s what convinced me to give it a try:

Efficient Code Suggestions: Copilot generates code snippets based on natural language comments, saving me time on repetitive coding tasks.
Broad Language Support: From Python and JavaScript to TypeScript and more, it works across the languages I use regularly.
Integrated Development: It fits perfectly into my workflow in Visual Studio Code without adding complexity.
Free Tier Availability: The recent introduction of a free plan made it even more accessible for developers like me.

Setting Up GitHub Copilot: Step-by-Step Guide

1. Install Visual Studio Code

If you don’t already have it, download and install Visual Studio Code from its official website.

2. Install GitHub Copilot Extension

Open Visual Studio Code and go to the Extensions Marketplace (left-hand menu).
Look for "GitHub Copilot" and install the official extension.

After installation, you’ll be prompted to sign in to your GitHub account.
If you don’t have an account, you can create one for free on GitHub.com.

4. Activate the Free Tier

Upon signing in, select the Free Plan to activate up to 2,000 completions and 50 chat requests per month.
Your status will be displayed in the Copilot sidebar, confirming the activation.

My Hands-On Experience with GitHub Copilot My Hands-On Experience with GitHub Copilot Chatbot Feature

Generate Code with Natural Language Commands To test the power of GitHub Copilot’s Chatbot, I started with a simple project: creating a travel website homepage. I clicked on the GitHub Copilot icon at the bottom, which displayed the Copilot options. Then, I selected the GitHub Copilot Chat option, successfully activating the feature. First, I described the desired functionality directly in the chatbot, like "make a travel website homepage for India and provide the HTML code." Copilot instantly generated the HTML structure, saving me significant time. (See below image showcasing the generated code alongside the preview)

2. Refining the Generated Website Design

I further asked Copilot to make the webpage "more stylish and visually attractive."
Copilot enhanced the HTML by incorporating inline CSS for better aesthetics. (Refer to the updated stylish design and code in the image below)

3. Adding Explanation for Features

Next, I wanted the webpage to explain what it displayed.
I used the Copilot Chatbot feature to generate a detailed explanation of the tourist spots included on the page. This was done simply by typing: "Explain what tourist spots this webpage is displaying."
The chatbot provided a structured description of Taj Mahal, Jaipur, and Kerala with relevant details. (See the detailed explanation in the image below)

4. Interactive Debugging and Queries

I also used the Copilot Chat feature to query about improving the layout and fixing minor design issues, receiving insightful suggestions instantly.

5. Finalizing the Project

Once satisfied with the design and functionality, I asked Copilot for further enhancements, ensuring the page was ready for presentation. (Final code and preview in action shown here)

Features I Loved About GitHub Copilot

Seamless Integration: Works effortlessly in Visual Studio Code without disrupting my workflow.
Intelligent Suggestions: The ability to generate entire functions from natural language descriptions saved me hours of effort.
Multi-Language Support: Supported all the languages I frequently use, including JavaScript and Python.
Free Tier Accessibility: Provides enough features to explore and benefit without immediate costs.

Pros and Cons

Pros

Boosts Productivity: Reduces repetitive coding tasks.
Wide Compatibility: Works with multiple languages and IDEs.
Helpful for Debugging: Chat requests aid in troubleshooting code.
Learning Aid: Great for understanding new languages and frameworks.

Cons

Free Plan Limitations: The 2,000 completions/month limit may not suffice for large projects.
Occasional Inaccuracies: Code suggestions sometimes require adjustments.
Learning Curve: Takes time to get used to natural language prompts.

Absolutely! GitHub Copilot has transformed how I approach development. Its AI-driven assistance accelerates coding tasks, reduces errors, and even improves my understanding of certain algorithms. Whether you’re a seasoned developer or just starting, the free tier is a fantastic way to explore its capabilities.

Final Thoughts

Using GitHub Copilot has been like having an experienced coding assistant by my side. From generating functions to debugging errors, it has positively impacted my productivity and confidence. If you’re looking to streamline your development process, I highly recommend giving GitHub Copilot a try.

GitHub Copilot: Revolutionizing Coding with AI Assistance

Discover how to integrate GitHub Copilot in VS Code for free! Step-by-step guide to boost your coding workflow.

January 25, 2025

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