4.8 KiB
title, shortTitle, intro, product, topics, versions
| title | shortTitle | intro | product | topics | versions | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Getting started with GitHub Copilot in Visual Studio Code | Visual Studio Code | Learn how to install {% data variables.product.prodname_copilot %} in Visual Studio Code, and start seeing suggestions as you write comments and code. | {% data reusables.gated-features.copilot %} |
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Prerequisites
- {% data variables.product.prodname_copilot %} is free to use for verified students and open source maintainers.
- If you are not a student or open source maintainer, you can try {% data variables.product.prodname_copilot %} for free with a one-time 60 day trial. After the free trial, a paid subscription is required for continued use. You must provide billing information in order to start a free trial. For more information, see "About billing for {% data variables.product.prodname_copilot %}."
- To use {% data variables.product.prodname_copilot %} in Visual Studio Code, you must have Visual Studio Code installed. For more information, see the Visual Studio Code documentation.
Installing the Visual Studio code extension
To use {% data variables.product.prodname_copilot %}, you must first install the Visual Studio Code extension.
- In the Visual Studio Code Marketplace, go to the {% data variables.product.prodname_copilot %} extension page and click Install.

- A popup will appear, asking to open Visual Studio Code. Click Open Visual Studio Code.
- In the "Extension: {% data variables.product.prodname_copilot %}" tab in Visual Studio Code, click Install.

Seeing your first suggestion
{% data variables.product.prodname_copilot %} provides suggestions for numerous languages and a wide variety of frameworks, but works especially well for Python, JavaScript, TypeScript, Ruby, and Go. The following samples are in JavaScript, but other languages will work similarly.
{% data reusables.copilot.create-js-file %}
{% data reusables.copilot.type-function-header %}
{% data variables.product.prodname_copilot %} will automatically suggest an entire function body in grayed text, as shown below. The exact suggestion may vary.
3. To accept the suggestion, press Tab.
Seeing alternative suggestions
For any given input, {% data variables.product.prodname_copilot %} can offer multiple suggestions. You can select which suggestion to use, or reject them all.
{% data reusables.copilot.create-js-file %} {% data reusables.copilot.type-function-header %} {% data variables.product.prodname_copilot %} will show you a suggestion. 3. To see alternate suggestions:
- On macOS, press
Option (⌥) or Alt+](orOption (⌥) or Alt+[). - On Windows, press
Alt+](orAlt+[).
- If {% data variables.product.prodname_copilot %} offers a suggestion you want to accept, press
Tab. - Alternatively, to reject all suggestions, press
Esc. - Optionally, you can hover over the suggestion to see the {% data variables.product.prodname_copilot %} command palette for choosing suggestions.
Getting more suggestions
You may not want any of the initial suggestions {% data variables.product.prodname_copilot %} offers. You can ask {% data variables.product.prodname_copilot %} to provide additional suggestions.
{% data reusables.copilot.create-js-file %}
{% data reusables.copilot.type-function-header %}
{% data variables.product.prodname_copilot %} will show you a suggestion.
2. To open a new tab with multiple additional options, press Ctrl+Enter.
3. To accept a suggestion from the new tab, above the suggestion you want to accept, click Accept solution.
4. Alternatively, to reject all the suggestions, close the "Copilot" tab.
Generating code suggestions from comments
{% data variables.product.prodname_copilot %} can also generate code suggestions from comments.
{% data reusables.copilot.create-js-file %}
- In the JavaScript file, type the following comment:
{% data variables.product.prodname_copilot %} will suggestion an implementation of the function.
// find all images without alternate text // and give them a red border function process() {