Imagine having a pair programmer who never takes a break and can fluently work with multiple programming languages. That’s GitHub Copilot. Powered by a variety of large language models (LLMs), Copilot is the most widely adopted AI coding tool in industry. Today, we’ll walk you through everything you need to know to get started.
In this post, we’ll cover:
Start coding smarter with Copilot!
GitHub Copilot is an AI pair programmer powered by generative AI and large language models (LLMs). It’s designed to boost your coding speed and maximize developer productivity. Acting as a powerful assistant, it supports you throughout the coding process—both in your code editor and on github.com.
GitHub Copilot goes beyond simple code completion, offering features like:
GitHub Copilot supports a wide range of programming languages and is available in various environments, including Azure, VS Code, Visual Studio, JetBrains IDEs, Neovim, Xcode, GitHub Mobile, the terminal, and github.com.
To use GitHub Copilot, all you need is a GitHub account—and if you have a Copilot license, you can unlock even more powerful features beyond the free version.
Here are the available plans:
Choose the plan that best fits your needs and experience the power of AI-assisted coding with GitHub Copilot!
GitHub Copilot supports multiple IDEs, but in this guide, we’ll walk you through installation in two of the most popular ones: VS Code and JetBrains.
How to sign in to GitHub in VS Code
• Click on the “Accounts” menu in the Activity Bar, then select “Sign in to Sync Settings” to log in with your GitHub account.
Granting Permissions in Your Browser
• Copilot requires specific permissions from your GitHub account.
• Simply click “Continue” in your browser when prompted to authorize access for VS Code.
Confirming GitHub Copilot Installation
• Once setup is complete, you’ll see a Copilot icon next to the Command Center at the top and in the bottom bar of the editor.
• Clicking the icon in the bottom bar may prompt you to select your GitHub account, after which Copilot will display available options and change its status to “Ready.”
If you see the Copilot icons next to the Command Center and at the bottom of the VS Code window, you’re all set to start using GitHub Copilot in VS Code!
In this guide, we’ll walk through how to install GitHub Copilot in JetBrains IDEs using PyCharm as an example.
Log in with your GitHub account
• If your JetBrains IDE hasn’t been authorized with GitHub, you’ll need to sign in.
• Click the Copilot icon in the bottom bar and select “Login to GitHub.”
Grant permissions in your browser
• Click “Copy and Open” in your browser to authorize GitHub Copilot.
• Paste the copied code with CMD + V (Mac) or CTRL + V (Windows), then click “Authorize GitHub Copilot plugin.”
• Return to your IDE, and you should see a message confirming successful installation.
You’re now ready to start using GitHub Copilot in your JetBrains IDE! 🚀
Now that GitHub Copilot is installed, let’s explore how to use its Code Completion feature. For this example, we’ll use Python in VS Code.
Here’s a step-by-step guide to using code completion in GitHub Copilot:
validate_email.py
✅ Copilot suggestions appear as gray ghost text in your editor.
✅ Code completions are nondeterministic, meaning you might get different suggestions each time—even with the same input.
✅ Don’t worry if the suggestions aren’t what you expect! You can always review multiple options before pressing Tab to accept one.
GitHub Copilot Chat helps you understand your code, suggest improvements, and solve problems more efficiently. Even if you’re seeing a codebase for the first time, it helps you get up to speed quickly.
/explain
in the input box and hit Enter.With the rise of various AI copilot solutions, it’s important to understand what sets GitHub Copilot apart—especially when it comes to programming.
In short, GitHub Copilot stands out by being an AI tool designed to assist you exactly where you work, making it a powerful choice for developers compared to general-purpose copilots.
Thanks for joining us for this deep dive into GitHub Copilot! 🎉
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