0.27.0 Released!

[intitni]

Please run Copilot for Xcode.app once and restart Xcode to complete the update.

• Update the GitHub Copilot language server to 1.11.4. The recommended node version is v18.
• Update the Codeium language server to 1.4.15.
• [Plus, Free Trial] Add a @sense scope that collects the relevant code interfaces of the focused code.
• Support setting default scopes and preferred models for each scope in the chat settings. You can also over-write it in the chat tab menu.
• [Plus, Free Trial] Suggestion Cheatsheet: This feature will insert relevant information (type interfaces from your codebase, from third-party packages, or other instructions, etc.) into the editing file while generating suggestions. Technically, it can make the suggestions more accurate. It is still in an experimental stage with the following limitations:
  • Only works for Swift and Podfile.
  • For better performance, it collects information at most once every 5 seconds. This can be triggered by moving the text cursor.
  • If you are writing new code, you will have to save the file to update the index so that it can get the right information.
  • You can turn it on in the suggestion feature settings.
• Add new OpenAI chat models.
• Adjust the title bar size of the chat panel.
• Adjust the behavior of the stick-to-bottom feature of the chat panel. Fix [Bug]: Chat window scroll to top when done processing output #387.
• Adjust the system prompt position in chat so the bot may understand it better. Fix [Bug]: Chat doesn't seem to have access to the code #385
• Fix that the prompt to code window won't sometimes pop up.
• Fix a crash when the bot tries to get the focused code.

Learn more about it from the release discussion!

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This discussion was created from the release 0.27.0.

[intitni]

For the @sense scope, you can use it when you need to ask a question about a piece of code that needs information from other types.

In this example, the Action enum is also included in the chat context even though it's not being selected.

[intitni]

Suggestion Cheatsheet is an interesting feature that I have had in mind for a long time. But after all it's more like a hack, no one can guarantee that it will be useful.

In the following example, we can provide the workspace information and syntax through a cheat sheet in a Podfile.

Let me know if you have other ideas!

[intitni]

It looks like gpt-3.5-turbo-1106 is behaving a lot differently than the older models. When I ask it to explain the selected code, it will type the code back to me. I think I will have to update the prompt in the next release.