Your AI pair programmer. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor.


Trained on billions of lines of code, GitHub Copilot turns natural language prompts into coding suggestions across dozens of languages.

Developers all over the world use GitHub Copilot to code faster, focus on business logic over boilerplate, and do what matters most: building great software.

Spend less time creating boilerplate and repetitive code patterns, and more time on what matters: building great software. Write a comment describing the logic you want and GitHub Copilot will immediately suggest code to implement the solution.

Whether you’re working in a new language or framework, or just learning to code, GitHub Copilot can help you find your way. Tackle a bug, or learn how to use a new framework without spending most of your time spelunking through the docs or searching the web.




Q What is GitHub Copilot?

GitHub Copilot is an AI pair programmer that helps you write code faster and with less work. It draws context from comments and code to suggest individual lines and whole functions instantly. GitHub Copilot is powered by OpenAI Codex, a generative pretrained language model created by OpenAI. It is available as an extension for Visual Studio Code, Visual Studio, Neovim, and the JetBrains suite of integrated development environments (IDEs).

Q What data has GitHub Copilot been trained on?

GitHub Copilot is powered by Codex, a generative pretrained AI model created by OpenAI. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub.

Q Does GitHub Copilot write perfect code?

In a recent evaluation, we found that users accepted on average 26% of all completions shown by GitHub Copilot. We also found that on average more than 27% of developers’ code files were generated by GitHub Copilot, and in certain languages like Python that goes up to 40%. However, GitHub Copilot does not write perfect code. It is designed to generate the best code possible given the context it has access to, but it doesn’t test the code it suggests so the code may not always work, or even make sense. GitHub Copilot can only hold a very limited context, so it may not make use of helpful functions defined elsewhere in your project or even in the same file. And it may suggest old or deprecated uses of libraries and languages. When converting comments written in non-English to code, there may be performance disparities when compared to English. For suggested code, certain languages like Python, JavaScript, TypeScript, and Go might perform better compared to other programming languages.

Like any other code, code suggested by GitHub Copilot should be carefully tested, reviewed, and vetted. As the developer, you are always in charge.

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