Welcome to “Develop With AI Powered Code Suggestions Using GitHub Copilot and VS Code”! :wave:
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.
Copilot works with many code editors including VS Code, Visual Studio, JetBrains IDE, and Neovim.
Additionally, GitHub Copilot is trained on all languages that appear in public repositories. For each language, the quality of suggestions you receive may depend on the volume and diversity of training data for that language.
Using Copilot inside a Codespace shows just how easy it is to get up and running with GitHub’s suite of Collaborative Coding tools.
Note This skills exercise will focus on leveraging GitHub Codespace. It is recommended that you complete the GitHub skill, Codespaces, before moving forward with this exercise.
We recommend opening another browser tab to work through the following activities so you can keep these instructions open for reference.
Before you open up a codespace on a repository, you can create a development container and define specific extensions or configurations that will be used or installed in your codespace. Let’s create this development container and add copilot to the list of extensions.
Create new file
..devcontainer/devcontainer.json
{
// Name this configuration
"name": "Codespace for Skills!",
"customizations": {
"vscode": {
"extensions": [
"GitHub.copilot"
]
}
}
}
main
branch, and then click the Commit new file button.Click the Create codespace on main button.
Wait about 2 minutes for the codespace to spin itself up.
copilot
extension should show up in the VS Code extension list. Click the extensions sidebar tab. You should see the following:
Wait about 60 seconds then refresh your repository landing page for the next step.