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Codespaces Billing Report Improvements

GitHub Codespaces recently released multiple updates to improve visibility into monthly spend:

  • Organization administrators whose organization's codespace usage is paid for by the enterprise can now see month-to-date spending in their organization, even though their organization is not directly paying for this usage.
  • All organization administrators with access to billing reports can now see projected codespaces spend in the month. This calculation is an estimate based on the past seven days of codespace usage.

org admin billing screen with projected usage

With these improvements, organization administrators can get a better sense of how large of a bill they can expect to pay at the end of the month, and remain aware of how much they are billing back to their enterprise.

Additional Resources

Today's changelog introduces a new global page to find all of your projects!

🌐 Global Projects page

You will now find all of your relevant and commonly used projects in a single place at This page is found from the global navigation menu under Projects and can be used to find projects you've recently viewed or created, regardless of the organization or where they live. No more searching across organizations and tabs for the project you are looking for!

Bug fixes and improvements

  • Improved the table column ... menu and configuration options
  • Included Field sum configurations when copying a project or using a project template
  • Fixed a bug where uploaded files were not rendering in the project README or draft items
  • Fixed a bug where items could not be added to an empty roadmap view with a Group by field
  • Fixed a bug where invalid chart configurations prevented copying a project or using a project template
  • Fixed a bug where setting a project as a template gave an error message

See how to use GitHub for project planning with GitHub Issues, check out what's on the roadmap, and learn more in the docs.

Questions or suggestions? Join the conversation in the community discussion.

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This month, we made some big improvements to GitHub Copilot! Copilot Chat is now powered by GPT-4 and we updated the model used to detect off-topic chat queries. In VS Code, we are announcing the public beta of code referencing. We also introduced “agents” and the ability to generate commit messages with Copilot. In addition, we improved the context for explaining code and updated the Copilot menu UI. In JetBrains IDEs, we introduced partial acceptance of code suggestions.

Copilot Chat is powered by GPT4

We upgraded the Copilot Chat experience, bringing more accurate and useful code suggestions with OpenAI‘s GPT4 model.

Offtopic model improvements for Copilot Chat

As part of our safety featuresweve improved our off-topic model to detect chat queries which do not relate to programming. This should result in significantly fewer filtered responses.

Code referencing in VS Code is now in Public Beta

In August, we announced the Private Beta of code referencing in VS CodeThis feature searches across billions of files on public GitHub repositories for code that matches a Copilot suggestionSince then, we’ve heard your feedback, and we’re shipping with a new and redesigned experience. One of the top points of feedback was that the original flow resulted in too many notifications. To fix this, if theres a matchusers will find its information displayed in the Copilot console log, including where the match occurred, any applicable licensesand a deep link to learn more. If you are interested in code references, you can refer to the window, otherwise, it won’t be in your way.

The deep link will now take you to a navigable page on to browse examples of the code match and their repository licensesand see how many repositories — including ones without licenses — that code appears in, as well as links to those repositories.

Learn more about Copilot code referencing and let us know your thoughts in the GitHub Community!

Introducing “agents” in Copilot Chat in VS Code

We have introduced a new capability called “agents” to enhance your interaction with Copilot Chat. Agents are like specialized experts who can assist you with specific tasks. You can mention them in the chat using the @ symbol. Currently, there are two agents available:

  • @workspace: This agent has knowledge about the code in your workspace and can help you navigate it by finding relevant files or classes. The @workspace agent uses a meta prompt to determine what information to collect from the workspace to help answer your question.
  • @vscode: This agent is knowledgeable about commands and features in the VS Code editor itself, and can assist you in using them.

Each agent also supports slash commandsThe slash commands you may have used before should now be used with an agent. For example, /explain is now @workspace /explain.

Read more in the VS Code release notes.

Improved explanation context in Copilot Chat in VS Code

You can ask Copilot Chat to explain a code selection in your active editor either through the @workspace /explain command or through the “Explain with Copilot” action in the context menu. Copilot Chat has now integrated implementations of referenced symbolssuch as functions and classes, which leads to explanations that are more precise and useful. This works best across files when you have an extension contributing language services installed for one of the following languages: TypeScript/JavaScript, Python, Java, C#, C++, Go, or Ruby.

Commit message generation using Copilot in VS Code

Copilot can now generate commit messages based on the pending changes using the new “sparkle” action in the Source Control input box.

Updated Copilot menu in VS Code

Our Copilot menu in VS Code is now more visible and aligned with our design for JetBrains IDEs. It is now easier to understand the current status of Copilot, access the various settings or documentation.

The new menu is displayed when clicking on the Copilot icon in the lower right corner in the statusbar of VS Code.

JetBrains partial acceptance for code suggestions

The Copilot extension for JetBrains IDEs has leveled up! You now have the flexibility to incorporate code suggestions piece by piece, whether that’s word-by-word or line-by-line. Feel free to customize these shortcuts as you preferHappy coding!

We welcome your feedback on Copilot! Please join the discussion in the GitHub Community.

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