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In the left margin, select
Copilot.
In the Draft with Copilot dialog box, tell Copilot what you'd like (For example, "Write a letter to the editor about adding more bike lanes.") and select Generate.
After Copilot creates the content, you can select Keep it, Regenerate, Discard it, or fine tune Copilot's response by entering details into the compose box, like "Make it sound professional."
For more details, see Draft and add content with Copilot.
Note This feature is available to customers with either a Microsoft 365 Copilot (work) or Copilot Pro (home) license. For information on how to get Copilot see Where can I get Microsoft Copilot?
Best practices for using GitHub Copilot
Here are a few quick tips you should remember while crafting your prompts: Break down complex tasks. Be specific about your requirements. Provide examples of things like input data, outputs, and implementations. Follow good coding practices. To learn more, see Prompt engineering …
See results only from docs.github.combest-practices-for-using-gith…
Here are a few quick tips you should remember while crafting your prompts: …
6-best-practices-with-copilot…
Follow good coding practices. This includes writing clean, readable code with …
Tips for a Successful Rollou…
Developers will have questions about best practices for GitHub Copilot, and when …
Get better results with Copilot prompting - Microsoft Support
Improve your outcomes with Copilot by crafting detailed prompts, specifying goals, context, and sources, to guide the AI's responses more effectively.
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Cooking up a great prompt: Getting the most from Copilot
Having great, clear, prompts will get you better results with generative AI like Microsoft Copilot. This article gives you a clear 3-step guide on making your prompts better.
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Jul 18, 2024 · In this edition, we highlight how to prompt like a pro for Copilot in Teams – first by summarizing how and where Copilot can assist you in Teams, then by guiding you through 8 …
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Here are a few quick tips you should remember while crafting your prompts: Break down complex tasks. Be specific about your requirements. Provide examples of things like input data, …
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