Skip to content

Latest commit

 

History

History
126 lines (71 loc) · 5.25 KB

responsible-use-of-github-copilot-chat-in-your-ide.md

File metadata and controls

126 lines (71 loc) · 5.25 KB
title shortTitle intro redirect_from product versions topics type
Responsible use of GitHub Copilot Chat in your IDE
Chat in your IDE
Learn how to use {% data variables.product.prodname_copilot_chat %} responsibly by understanding its purposes, capabilities, and limitations.
/early-access/copilot/github-copilot-chat-transparency-note
/early-access/copilot/github-copilot-chat-technical-preview-license-terms
/copilot/github-copilot-chat/about-github-copilot-chat
/copilot/github-copilot-chat/copilot-chat-in-ides/about-github-copilot-chat-in-your-ide
{% data reusables.gated-features.copilot-chat-callout %}
feature
copilot
Copilot
rai

{% vscode %}

{% data reusables.rai.copilot.about-copilot-chat-ide %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all1 %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-custom-instructions %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all2 %}

{% data reusables.rai.copilot.copilot-chat-ide-language-model-analysis %}

{% data reusables.rai.copilot.copilot-chat-ide-response-generation %}

When you use the @github chat participant, {% data variables.product.prodname_copilot_chat_short %} will be able to gather context from your code stored on {% data variables.product.github %} and search results from Bing (if enabled by your administrator).

{% data reusables.rai.copilot.copilot-chat-ide-output-formatting %}

{% data reusables.rai.copilot.copilot-chat-ide-leveraging-web-search %}

{% data reusables.rai.copilot.copilot-chat-ide-use-cases %}

Answering coding questions

You can ask {% data variables.product.prodname_copilot_chat_short %} for help or clarification on specific coding problems and receive responses in natural language format or in code snippet format.

The response generated by {% data variables.product.prodname_copilot_chat_short %} will use the model's training data set to answer your questions.

When you use the @github chat participant, the response generated may additionally use search results from Bing, code in your repositories, and Markdown documentation in your knowledge bases.

This can be a useful tool for programmers, as it can provide guidance and support for common coding tasks and challenges.

{% data reusables.rai.copilot.copilot-chat-ide-improving-performance %}

{% data reusables.rai.copilot.copilot-chat-ide-limitations %}

{% data reusables.rai.copilot.copilot-chat-ide-next-steps %}

{% endvscode %}

{% visualstudio %}

{% data reusables.rai.copilot.about-copilot-chat-ide %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all1 %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-custom-instructions %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all2 %}

{% data reusables.rai.copilot.copilot-chat-ide-language-model-analysis %}

{% data reusables.rai.copilot.copilot-chat-ide-response-generation %}

When you use the @github chat participant, {% data variables.product.prodname_copilot_chat_short %} will be able to gather context from your code stored on {% data variables.product.github %} and search results from Bing (if enabled by your administrator).

{% data reusables.rai.copilot.copilot-chat-ide-output-formatting %}

{% data reusables.rai.copilot.copilot-chat-ide-leveraging-web-search %}

{% data reusables.rai.copilot.copilot-chat-ide-use-cases %}

Answering coding questions

You can ask {% data variables.product.prodname_copilot_chat_short %} for help or clarification on specific coding problems and receive responses in natural language format or in code snippet format.

The response generated by {% data variables.product.prodname_copilot_chat_short %} will use the model's training data set to answer your questions.

This can be a useful tool for programmers, as it can provide guidance and support for common coding tasks and challenges.

{% data reusables.rai.copilot.copilot-chat-ide-improving-performance %}

{% data reusables.rai.copilot.copilot-chat-ide-limitations %}

{% data reusables.rai.copilot.copilot-chat-ide-next-steps %}

{% endvisualstudio %}

{% jetbrains %}

{% data reusables.rai.copilot.about-copilot-chat-ide %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all1 %}

{% data reusables.rai.copilot.copilot-chat-ide-input-processing-all2 %}

{% data reusables.rai.copilot.copilot-chat-ide-language-model-analysis %}

{% data reusables.rai.copilot.copilot-chat-ide-response-generation %}

{% data reusables.rai.copilot.copilot-chat-ide-output-formatting %}

{% data reusables.rai.copilot.copilot-chat-ide-use-cases %}

Answering coding questions

You can ask {% data variables.product.prodname_copilot_chat_short %} for help or clarification on specific coding problems and receive responses in natural language format or in code snippet format.

The response generated by {% data variables.product.prodname_copilot_chat_short %} will use the model's training data set to answer your questions.

This can be a useful tool for programmers, as it can provide guidance and support for common coding tasks and challenges.

{% data reusables.rai.copilot.copilot-chat-ide-improving-performance %}

{% data reusables.rai.copilot.copilot-chat-ide-limitations %}

{% data reusables.rai.copilot.copilot-chat-ide-next-steps %}

{% endjetbrains %}