What Is GitHub Copilot and How Do You Use It?
GitHub Copilot is an AI-powered programming assistant, developed through a collaboration between GitHub and OpenAI, that works inside your code editor. Its best-known feature is predicting and suggesting what comes next as you write code. Like a pair programmer sitting beside you, it automatically completes the next line or an entire function for you.
What Does GitHub Copilot Do?
Copilot's core purpose is to speed up software development and reduce repetitive work. When you start typing a function's name, it suggests its contents; when you write a comment line, it turns that comment into code. You can also make requests through a chat window inside the editor, such as "What does this code do?" or "Fix this error."
These kinds of tools are also a strong support for those new to coding. You can describe what you want in a comment line and learn by examining the code Copilot produces. This approach is the in-editor reflection of the vibe coding philosophy.
How Do You Install GitHub Copilot?
Getting started with Copilot is quite simple:
- GitHub account and subscription: Copilot is used with a GitHub account and is a paid subscription. Free options are available for students and some open-source developers.
- A code editor: Copilot is compatible with VS Code, JetBrains, and similar popular editors. It's installed as an extension in the editor you use.
- Install the extension and sign in: Once you install Copilot from your editor's extension marketplace and sign in with your GitHub account, it's ready to use.
Tips for Productive Use
There are a few practical methods to get the most out of Copilot:
- Write descriptive comments: Clearly stating what you want in a comment line helps you get far more accurate suggestions.
- Review suggestions: Not every code Copilot suggests is correct. Review the logic before accepting it.
- Use meaningful names: Choosing meaningful variable and function names helps Copilot better understand your intent.
- Use the chat feature: You can have Copilot explain code you don't understand and ask it to solve errors.
How Does Copilot Differ From Other Tools?
Copilot makes its biggest difference through autocompletion inside your code editor. This is a different approach from agent tools that take on an entire task in the terminal. For example, Claude Code hands you a task done from start to finish, while Copilot constantly offers suggestions beside you as you write. Many developers combine these two approaches: Copilot for everyday writing, agent tools for large tasks.
Who Is It Right For?
GitHub Copilot appeals to a wide audience, from people new to coding to experienced developers. It accelerates learning for beginners while reducing repetitive work for the experienced. It's an ideal starting point for those who like working inside an editor.
If you want to learn these tools with real projects and in the right order, our vibe coding course covers AI-assisted development tools hands-on. After using Copilot for a few days, you may find you can no longer imagine writing code without it.
Frequently Asked Questions
Is GitHub Copilot free?
Copilot is generally a paid subscription, but it offers free options for students and some open-source developers. You should check current pricing on GitHub's official page.
Which editors does GitHub Copilot work in?
Copilot is compatible with VS Code, JetBrains products, and similar popular code editors. It's installed as an extension in the editor you use and activated by signing in with your GitHub account.
Is the code Copilot suggests always correct?
No, not every suggestion is correct. Copilot is a powerful assistant, but it's important to review the logic before accepting the suggested code, especially for security.
What is the difference between Copilot and Claude Code?
Copilot performs autocompletion as you write in your editor, while Claude Code works with an agent approach that takes on an entire task from start to finish in the terminal. Many developers use both together.
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Sefa Aydın · AI Trainer & Consultant
An AI trainer and consultant who has worked on the Turkey projects of world-famous luxury brands. He teaches, hands-on, how every kind of work is done with AI: design, video, branding and vibe coding.
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