Update GitHub Copilot documentation to clarify tool usage and enhance feature descriptions

Author: ChrisHowd

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/7-knowledge-check.yml

@@ -19,42 +19,42 @@ quiz:
     - content: "Limiting the prompt to coding questions or tasks to enhance the model's output quality."
       isCorrect: true
       explanation: "Correct. Keeping prompts on topic can help improve the quality of the output generated by GitHub Copilot Chat."
-    - content: "Using Copilot Chat as a replacement for human programming."
+    - content: "Using GitHub Copilot Chat as a replacement for human programming."
       isCorrect: false
-      explanation: "Incorrect. Developers should use Copilot Chat as a tool, not a replacement for human programming."
+      explanation: "Incorrect. Developers should use GitHub Copilot Chat as a tool, not a replacement for human programming."
     - content: "Ignoring secure coding and code review practices."
       isCorrect: false
-      explanation: "Incorrect. Developers should follow secure coding and code review practices when using Copilot Chat."
+      explanation: "Incorrect. Developers should follow secure coding and code review practices when using GitHub Copilot Chat."
   - content: "What is the best way to provide context to GitHub Copilot for better code suggestions?"
     choices:
     - content: "By keeping all files closed in the editor."
       isCorrect: false
-      explanation: "Incorrect. Having related files open in the editor helps Copilot analyze the context and create appropriate suggestions."
+      explanation: "Incorrect. Having related files open in the editor helps GitHub Copilot analyze the context and create appropriate suggestions."
     - content: "By using complex function names."
       isCorrect: false
       explanation: "Incorrect. Complex function names can be confusing. Meaningful function names and well-scoped function comments provide better context."
     - content: "By providing meaningful function names, specific function comments, and having related files open in the editor."
       isCorrect: true
-      explanation: "Correct. These methods help Copilot understand the context of the task and generate appropriate suggestions."
+      explanation: "Correct. These methods help GitHub Copilot understand the context of the task and generate appropriate suggestions."
   - content: "How can a developer optimize their experience when interacting with GitHub Copilot via chat?"
     choices:
     - content: "By being vague about the inputs, outputs, APIs, or frameworks they want to use."
       isCorrect: false
       explanation: "Incorrect. The more specific your prompt, the better the outcome."
     - content: "By using chat participants, slash commands, chat variables, and being specific in your prompts."
       isCorrect: true
-      explanation: "Correct. These methods help Copilot understand your intent and provide more targeted and accurate responses."
-    - content: "By asking Copilot to perform large tasks at once."
+      explanation: "Correct. These methods help GitHub Copilot understand your intent and provide more targeted and accurate responses."
+    - content: "By asking GitHub Copilot to perform large tasks at once."
       isCorrect: false
       explanation: "Incorrect. It's better to break down a large task into separate, smaller tasks for more accurate responses."
   - content: "What is the effect of maintaining a high quality bar in your code when using GitHub Copilot?"
     choices:
-    - content: "Copilot latches on to your code to generate suggestions that follow the existing pattern."
+    - content: "GitHub Copilot latches on to your code to generate suggestions that follow the existing pattern."
       isCorrect: true
-      explanation: "Correct. High quality code helps Copilot generate relevant and efficient suggestions."
-    - content: "It confuses Copilot and leads to irrelevant suggestions."
+      explanation: "Correct. High quality code helps GitHub Copilot generate relevant and efficient suggestions."
+    - content: "It confuses GitHub Copilot and leads to irrelevant suggestions."
       isCorrect: false
-      explanation: "Incorrect. High quality code helps Copilot generate suggestions that follow the existing pattern."
+      explanation: "Incorrect. High quality code helps GitHub Copilot generate suggestions that follow the existing pattern."
     - content: "It slows down the suggestion process."
       isCorrect: false
       explanation: "Incorrect. Maintaining high quality doesn't slow down the suggestion process, but rather improves it."

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/includes/2-examine-code-development-features-github-copilot.md

@@ -50,7 +50,7 @@ Providing GitHub Copilot Chat with prompts or questions that include a clear sco
 You can use chat participants, slash commands, and chat variables to clarify the context of your prompts.
 
 - Chat participants, such as `@workspace` or `@terminal`, help GitHub Copilot Chat understand the context of your question.
-- Slash commands, such as `/explain` or `/new`, help Copilot Chat understand the intent or purpose of your question.
+- Slash commands, such as `/explain` or `/new`, help GitHub Copilot Chat understand the intent or purpose of your question.
 - Chat variables, such as `#file` or `#editor`, help Copilot Chat focus on something specific when considering the larger context of your question.
 
 Using these specialized descriptors helps GitHub Copilot Chat generate more accurate and useful responses.
@@ -65,7 +65,7 @@ GitHub Copilot can scaffold more complex workspaces. For example, the following
 
 The Chat view in Visual Studio Code provides access to an AI assistant that helps you develop code. You can ask questions and get help from your AI assistant without leaving the Visual Studio Code environment. The Chat view provides assistance when you're developing code and when you're exploring approaches to solving difficult coding problems. You can also use the Chat view to ask questions about existing code, to get help with errors or coding logic, and to get information about using project resources. The Chat view can help you learn new coding techniques, explore different coding styles, and improve your coding skills.
 
-The Chat view opens in its own panel to the right of Visual Studio Code's code editor. To open the Chat view, select **Open Chat** from the Visual Studio Code Command Center or use the **Ctrl+Alt+I** keyboard shortcut.
+The Chat view opens in its own panel to the right of Visual Studio Code's code editor. To open the Chat view, select **Chat** from the Visual Studio Code title bar or use the **Ctrl+Alt+I** keyboard shortcut.
 
 ![Screenshot showing the Chat view "welcome" message in Visual Studio Code.](../media/chat-view-1.png)
 
@@ -91,13 +91,13 @@ GitHub Copilot maintains a history of your conversation. The history is used to
 
 Depending on your question, GitHub Copilot Chat may return source code in the response. Source code is displayed as a code block, and you can manage the code in a few different ways.
 
-If you hover the mouse pointer over the code block, options for managing the code block are displayed. Your initial options are **Apply in Editor**, **Insert At Cursor (Ctrl+Enter)**, and **Copy**.
+If you hover the mouse pointer over the code block, options for managing the code block are displayed. Your initial options are **Apply**, **Insert (Ctrl+Enter)**, and **Copy**.
 
 ![Screenshot showing a code block in the Chat view.](../media/chat-view-4.png)
 
 The More Actions (...) button displays the options to **Insert into Terminal (Ctrl+Alt+Enter)** and **Insert into New File**.
 
-If Copilot Chat detects that a code block contains a command, you can run it directly in the integrated terminal with **Insert into Terminal (Ctrl+Alt+Enter)**. This option creates or opens the active terminal and inserts the command text, ready for you to run.
+If GitHub Copilot Chat detects that a code block contains a command, you can run it directly in the integrated terminal with **Insert into Terminal (Ctrl+Alt+Enter)**. This option creates or opens the active terminal and inserts the command text, ready for you to run.
 
 ![Screenshot showing the Insert into Terminal option in the Chat view.](../media/chat-view-6.png)
 
@@ -123,7 +123,7 @@ You can create a new code feature using inline chat by completing the following
 
 1. Enter a prompt that describes the feature you want to create.
 
-1. Review the suggestions provided by Copilot Chat, and refine your prompt if necessary.
+1. Review the suggestions provided by GitHub Copilot Chat, and refine your prompt if necessary.
 
 1. Once you're satisfied, accept a suggestion.
 
@@ -145,15 +145,15 @@ You can create a regular expression using inline chat by completing the followin
 
 1. Enter a prompt that describes the data pattern you need to validate.
 
-1. Review the suggestions provided by Copilot Chat, and once you're satisfied, accept a suggestion.
+1. Review the suggestions provided by GitHub Copilot Chat, and once you're satisfied, accept a suggestion.
 
 Here's an example that demonstrates how to create a regular expression for email addresses using inline chat:
 
 ![Screenshot showing an inline chat session used to create a regular expression.](../media/inline-chat-code-suggestion-2.png)
 
 It's always important to review the responses generated by GitHub Copilot Chat.
 
-Copilot Chat suggests the following regular expression can be used to validate email addresses: `^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$`.
+GitHub Copilot Chat suggests the following regular expression can be used to validate email addresses: `^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$`.
 
 Let's take a minute to evaluate the suggested regular expression.