Copilot – February 27th update

⏫ Copilot Code Completion model updated with more improvements

We’re excited to announce a new update to the model powering Copilot Code Completion across all IDEs! This update includes improved instruction following and performance improvement for our users. Here are the details:

  • Improved instruction following: Copilot can better understand and follow instructions given by the user. This means that Copilot is now better at generating code that matches the user’s intent and requirements.
  • Performance improvement: Finally, this model update includes a performance improvement for Copilot users. While this may not be noticeable in all cases, it can help make Copilot even faster and more efficient for certain tasks.

Repository Rules – configure merge queue rule – public beta

Configuring merge queue in your repo rulesets is now available in public beta!

Screenshot showing the configuration of merge queue inside a ruleset

Merge queue & rule insights

Until now, rule insights would only list one pull request as merged even when multiple pull requests were merged by the queue at the same time. Also in this beta, each pull request in a merge queue will have an individual record in rule insights, linked to the actor that added the pull request to the merge queue.

Example screenshot showing rules insights and all PRs from a queue

Within the additional data of a rule insight dialog you can now see all the pull requests that merged in the same group along with the checks needed for the queue.

Example screenshot of details of a queue in rule insights

Limitations

  • The merge queue rule cannot be configured via an API. This feature will be available in the near future.
  • Merge Queue for branch protections and repository rules do not support wildcard patterns
  • Not supported in organization rulesets.
  • Multiple merge queues configured against a single branch will prevent merging.

Join the discussion within GitHub Community.

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GitHub Copilot Enterprise is now generally available

GitHub Copilot Enterprise is now generally available

GitHub Copilot Enterprise, our most advanced AI offering to date, is now generally available. With GitHub Copilot Enterprise, you can:

  • Gain a deeper understanding of your organization’s unique codebase: Copilot Chat in GitHub.com understands your code and streamlines code navigation and comprehension for developers.
  • Quickly access organizational knowledge and best practices: By letting developers attach knowledge bases (formerly known as docsets) to conversations, Copilot Chat in GitHub.com can answer questions based on your Markdown documentation stored on GitHub.
  • Review pull requests faster: With pull request summaries generated by GitHub Copilot and the ability to chat about changes in a pull request, reviewers can get up to speed on a pull request quickly and spend more time providing valuable feedback.

Following on from our limited public beta, we are bringing the following improvements to GitHub Copilot Enterprise today to make Copilot even smarter:

  • GitHub Copilot can now search Bing within chat conversations in GitHub.com to answer questions and find information outside of its general knowledge or your codebase (public beta).
  • You can now access your knowledge bases (formerly known as docsets) from any Copilot Chat conversation in GitHub.com with the “Attach knowledge” button. Organization owners can create knowledge bases from an organization’s settings.
  • GitHub Copilot knows about code as you browse, so you no longer have to be explicit about exactly what file, symbol or snippet you want to chat about.

Example conversation demonstrating how GitHub Copilot can access the code you are currently looking at

  • GitHub Copilot generates pull request summaries that are now more structured, with a “Summary” section that gives a high-level overview, and an “Outline” section that walks through the code.
  • GitHub Copilot can now analyze and explain any pull request diff, making it easier for pull request reviewers to understand changes and share great feedback.

Example conversation demonstrating how GitHub Copilot can explain and improve pull request diffs

Ready to give Copilot Chat in GitHub.com a try? Here are some suggested prompts to get you started:

  • Ask a question about recent events to trigger a Bing search: What updates were there in Node.js v20?
  • Open GitHub Copilot Chat on a repository and ask a question about the repository: Where is the turnOn function defined?
  • Open a file on GitHub.com and ask a question about that file: Draft unit test cases for each of the functions in the file I’m currently viewing
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