Your AI pair programmer
With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Extends your editor
GitHub Copilot is available as an extension for Neovim, JetBrains, and Visual Studio Code. You can use the GitHub Copilot extension on your desktop or in the cloud on GitHub Codespaces. And it’s fast enough to use as you type.
Speaks all the languages you love
You’re the pilot
With GitHub Copilot, you’re always in charge. You can cycle through alternative suggestions, choose which to accept or reject, and manually edit suggested code. GitHub Copilot adapts to the edits you make, matching your coding style.
More than autocomplete
GitHub Copilot is powered by Codex, the new AI system created by OpenAI. GitHub Copilot understands significantly more context than most code assistants. So, whether it’s in a docstring, comment, function name, or the code itself, GitHub Copilot uses the context you’ve provided and synthesizes code to match. Together with OpenAI, we’re designing GitHub Copilot to get smarter at producing safe and effective code as developers use it.
Skip the docs and stop searching for examples. GitHub Copilot helps you stay focused right in your editor.
Convert comments to code. Write a comment describing the logic you want, and let GitHub Copilot assemble the code for you.
Autofill for repetitive code. GitHub Copilot works great for quickly producing boilerplate and repetitive code patterns. Feed it a few examples and let it generate the rest!
Tests without the toil. Tests are the backbone of any robust software engineering project. Import a unit test package, and let GitHub Copilot suggest tests that match your implementation code.
Show me alternatives. Want to evaluate a few different approaches? GitHub Copilot can show you a list of solutions. Use the code as provided, or edit it to meet your needs.
in unfamiliar territory
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.
Hundreds of engineers, including many of our own, have been using GitHub Copilot every day. It’s transformed the way they work – here’s what they have to say:
How it works
Of course! Please use #GitHubCopilot when you post so we can see what you produce!
GitHub Copilot is a code synthesizer, not a search engine: the vast majority of the code that it suggests is uniquely generated and has never been seen before. We found that about 0.1% of the time, the suggestion may contain some snippets that are verbatim from the training set. Here is an in-depth study on the model’s behavior. Many of these cases happen when you don’t provide sufficient context (in particular, when editing an empty file), or when there is a common, perhaps even universal, solution to the problem. We are building a filter to help detect and suppress the rare instances of code that is repeated from a public repository on GitHub.
The technical preview includes filters to block offensive words and avoid synthesizing suggestions in sensitive contexts. Due to the pre-release nature of the underlying technology, GitHub Copilot may sometimes produce undesired outputs, including biased, discriminatory, abusive, or offensive outputs. If you see offensive outputs, please report them directly to email@example.com, so that we can improve our safeguards. GitHub takes this challenge very seriously and we are committed to addressing it with GitHub Copilot.
In order to generate suggestions, GitHub Copilot transmits part of the file you are editing to the service. This context is used to synthesize suggestions for you. GitHub Copilot also records whether the suggestions are accepted or rejected. This telemetry is used to improve future versions of the AI system, so that GitHub Copilot can make better suggestions for all users in the future. In the future we will give users the option to control how their telemetry is used. More information about our use of telemetry can be found here.