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GitHub Copilot Enterprise subscribers in Visual Studio can now use Copilot Chat to get answers enriched with context from their entire repository (not just open tabs!) and Bing search results.

To try out this functionality, install Visual Studio 17.11 Preview 2, and then check out the docs.

Get answers from across your entire codebase

Copilot Chat can now answer questions with understanding of your full repository, not just the tabs you have open. Index your repository on GitHub.com, and then ask a question mentioning @github. You can ask questions like @github Where is device detection implemented?.

Asking Copilot Chat a question using your entire repository as context

Search with the context of the web

GitHub Copilot can now search Bing to find information outside of its general knowledge or your codebase. When you mention @github, Copilot will intelligently decide when to use Bing. You can ask questions like @github What are the breaking changes in Next.js v14?.

Asking Copilot Chat a question using Bing search results as context

Bing search is only available if enabled by an administrator – for more details, see “Enabling GitHub Copilot Enterprise features”.

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GitHub Copilot Chat in JetBrains IDEs is now generally available

Following our Private Beta, we are thrilled to announce Copilot Chat in JetBrains IDEs is now generally available (GA) for all our Copilot Individual, Business, and Enterprise customers.

Driven by GPT-4, GitHub Copilot Chat provides instant guidance directly within various JetBrains IDEs, such as PyCharm, IntelliJ IDEA, WebStorm, Rider, and more. This contextually-aware tool tailors suggestions to your specific coding tasks and even allows explicitly adding files for reference. It empowers developers to innovate efficiently by assisting with complex concepts, code explanations, unit testing, and many more use cases, all while effortlessly adjusting to your preferred language style.

How to get started?

If you were already using Private Beta:
– No further action is required. You can continue using the chat feature as usual.

If you haven’t enabled Chat and want to use GitHub Copilot Chat in JetBrains IDEs

  • Copilot Individual users: You automatically have access to the chat within JetBrains IDEs.
  • Copilot Business and Enterprise users: Your organization admins will need to grant you access to Copilot chat in IDEs. Once you have access, please consult our getting started guide

How to give us your feedback?

We are dedicated to continuous improvement and innovation. Your feedback remains a crucial part of our development process, and we look forward to hearing more about your experiences with GitHub Copilot Chat for JetBrains IDEs. Please use this link to share your feedback or ideas on how to improve the product.

Join the discussion within GitHub Community.

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Copilot enhancements in Visual Studio Code

We have introduced several features to the Copilot Chat extension in Visual Studio Code. These updates, available in Visual Studio Code 1.86 and the latest Copilot Chat extension 0.12, aim to provide a more streamlined and interactive coding experience. From new context variables that offer more control over the context you provide to Copilot, to expanded voice control capabilities, these updates are designed to improve your interaction with Copilot. Let’s take a closer look at these new features.

Context variables

You can use context variables to provide additional context to your questions in chat by using the # symbol. We have introduced two new context variables: #file and #editor to give you more control to specify that context.

The #file variable lets you reference specific files from your workspace in your chat prompt. This helps make the answers from Copilot Chat more relevant to your code by providing context about the file you are working with. You can ask questions like “Can you suggest improvements to #file:package.json?” or “How do I add an extension in #file:devcontainer.json?”. By using the #file variable, you can get more targeted and accurate responses from Copilot.

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With the #editor context variable, you have control over whether to include the visible code of the active editor in your prompt to Copilot Chat. Previously, this information was automatically included when you hadn’t selected text in the editor. Now, you can choose to explicitly add the visible code to the context or omit it for more general questions.

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The #selection context variable already enabled you to focus Copilot’s suggestions on the specific code you select in the editor. By combining the #file, #editor, and #selection variables, you have full control over the context you provide to Copilot Chat, ensuring that you receive the most relevant and helpful answers.

Inline chat

We also added several features, such as Copilot Code Actions and an updated live mode, to make your Copilot inline chat experience more productive.

As you’re writing and iterating over your code, you can now invoke Copilot through Code Actions (light bulb) on a specific line in the editor. This functionality gives you direct and targeted access to Copilot to improve your code. When there is an error in the code, you can use the sparkle Code Action to let Copilot explain the error or propose a fix.

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With the updated inline chat live mode, you can now see and evaluate the suggested code modifications in-place in the editor. Additionally, you have the option to drill through to the inline diff editor to compare the proposed changes against the original code.

Responsible AI

We emphasize responsible usage of AI, especially when it comes to source code. We’ve added a new setting that asks users for confirmation before saving code that was generated by Copilot. This ensures that users have control over the code generated by Copilot and can review it before saving.

This setting, inlineChat.acceptedOrDiscardBeforeSave, is enabled by default. When the setting is enabled, a file save will wait for the user to accept or discard any pending inline chat session. This also applies when Auto Save is enabled, which will be temporarily turned off until inline chat has ended.

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Enhancing voice interactions

We have further enhanced voice interactions in VS Code by giving you more flexibility and options for initiating voice interactions.

Now, you can use the “Hey Code” voice command to start a voice session with Copilot Chat. You can choose whether you want this voice command to open the Chat view, inline chat in the editor, quick chat, or choose dynamically based on where the focus is.

To enable this voice command, make sure to install the GitHub Copilot Chat and VS Code Speech extensions. Once installed, you can enable the “Hey Code” voice command in the accessibility.voice.keywordActivation setting.

In addition, you can accelerate voice input for chat by using the “hold to speak” mode: press and hold the keybinding for inline chat and voice recording automatically starts. As soon as you release the keys, the request is sent to Copilot.

Besides these main features, you can also explore our other exciting new preview features.

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GitHub Copilot Chat now generally available for organizations and individuals

Recently, we announced that GitHub Copilot Chat in IDEs is now generally available for both Visual Studio Code and Visual Studio, and is included in all GitHub Copilot plans alongside the original GitHub Copilot productivity boosting code completion capabilities. It is also available at no cost to verified teachers, students, and maintainers of popular open source projects. As of now, GitHub Copilot Chat is still in the private beta for JetBrains IDEs.

If you’ve been using Copilot Chat in public beta or have already provided access to your development team, no additional actions are required. There’s also no need to install any additional extensions; Copilot chat extension is bundled together with the Copilot extension.

Enterprise and organization administrators can grant their development teams access to Copilot Chat by enabling the Copilot Chat setting for their users.

Please check out our guide for getting started with Copilot chat.

Looking forward to hearing about how you’re putting it to use!

Join the discussion within GitHub Community.

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