GH-300 Sample Questions Answers

Keep the prompt as short as possible, using single words or brief phrases.

Write the prompt in natural language without any programming language.

Avoid mentioning the programming language to allow for more flexible suggestions.

Provide examples of expected input and output within the prompt.

By automatically generating detailed requirements documents.

By providing templates and code snippets that help in documenting requirements.

By identifying and fixing potential requirement conflicts when using /help.

By managing stakeholder communication and meetings.

The Gen AI tool is overloaded with too many requests at once.

The Gen AI tool is experiencing downtime and is not fully recovered.

The Gen AI tool is programmed with a focus on creativity over factual accuracy.

The training data might contain biases or inconsistencies.

GitHub Copilot may not always produce optimized or best-practice code for refactoring.

GitHub Copilot can only be used with a limited set of programming languages.

GitHub Copilot always produces bug-free code during refactoring.

GitHub Copilot understands the context of your entire project and refactors code accordingly.

If the contents of an excluded file are referenced in code that is not excluded, for example function calls.

When the repository level settings allow overrides by the user.

If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

When the user prompts with @workspace.

Suggestions matching public code to ' blocked '

Enforce blocking of MIT or GPL licensed code

You need to check code suggestions yourself before accepting

Enable GitHub Copilot license checking

The API can generate detailed reports on code quality improvements made by GitHub Copilot.

The API can track the acceptance rate of code suggestions accepted and used in the organization.

The API can refactor your code to improve productivity.

The API can provide feedback on coding style and standards compliance.

The API can provide Copilot Chat specific suggestions acceptance metrics.

By asking for multiple suggestions using comments in your code

By opening the completions panel in your editor

By using the inline chat functionality with the command ' multiple '

By using @workspace in the chat window

By analyzing the codebase and suggesting more efficient algorithms or data structures.

By automatically rewriting the codebase to use more efficient code.

By enforcing strict coding standards that ensure optimal performance.

By providing detailed reports on the performance of the codebase.

By using a properly configured GitHub CLI

By using chat capabilities in NeoVim

From a watch window in an IDE debug session

From a web browser at https://github.copilot.com

GitHub Copilot can automatically handle project management tasks.

GitHub Copilot can completely replace the need for human collaboration.

GitHub Copilot can predict and prevent bugs before they occur.

GitHub Copilot allows developers to stay in their IDE.

AI algorithms are incapable of perpetuating existing biases.

AI systems can sometimes make decisions that are difficult to interpret.

AI eliminates the need for data privacy regulations.

AI replaces the need for developer opportunities in most fields.

Create a technical requirement specification from the business requirement documentation

Explain a legacy COBOL code and translate the code to another language like Python.

Creation of a unit test scenario for newly developed Python code

Creation of end-to-end performance testing scenarios for a web application

It decreases software vulnerabilities from third party dependencies.

It reduces overhead by automating testing workflows.

It increases productivity by automating repetitive coding tasks.

It replaces the need for developers in the software development process.

Accepted chat suggestions

Code suggestions made by GitHub Copilot

Changes to content exclusion settings

Suggestions blocked by duplication detection filtering

By running code linters and formatters.

By providing visual diagrams of the code structure.

By answering questions about the code and generating explanations.

By automatically refactoring code to improve readability.

The excluded content is not directly available to GitHub Copilot to use as context.

GitHub Copilot suggestions are no longer available in the excluded files.

The excluded content is no longer used while debugging the code.

The IDE will not count coding suggestions in the excluded content.

GitHub Copilot Business

GitHub Copilot Codespace

GitHub Copilot Individual

GitHub Copilot Enterprise

By adding comments to your code and triggering a suggestion.

By highlighting the code you want to fix, right-clicking, and selecting " Fix using GitHub Copilot. "

By running the gh copilot fix command.

By using the " /fix " command in GitHub Copilot in-line chat.

By highlighting the code you want to fix, right-clicking, and selecting " Refactor using GitHub Copilot. "

Navigate to the Security tab in the organization ' s GitHub settings

Navigate to the Insights tab in the repository settings

Use the Audit log section in the organization ' s GitHub settings

Use the Code tab in the GitHub repository

GitHub Copilot Chat in the IDE

GitHub Copilot Chat in GitHub Mobile

GitHub Copilot duplication detection filter

GitHub Copilot access to Bing

/init-tests

/create-tests

/generate-tests

/tests

Utilize to interpret developer ' s thoughts and intentions without any code or comments.

Engage with chat participants such as @workspace to incorporate collaborative context into the responses.

Access developer ' s previous projects and code repositories to understand their coding style without explicit permission.

Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.

It filters out irrelevant information from the user ' s input prompt.

It enriches the input prompt with additional context before passing it to the language model.

It directly generates a response based on the user ' s input prompt.

It formats the output response before presenting it to the user.

Enterprise settings → Copilot → Policies

Repository settings → Copilot → Policies

Organization settings → Copilot → Policies

User settings → Copilot → Policies

Describing in your prompt what your role is to get a better suggestion

Tell GitHub Copilot in what tone of voice it should respond

Prompt GitHub Copilot to explain what was the role of a suggestion

Giving GitHub Copilot multiple examples of the form of the data you want to use

Modify the .gitignore file to include the specific files.

Add the specific files to a copilot.ignore file.

Use the GitHub Copilot settings in the user interface to exclude files.

Rename the files to include the suffix _no_copilot.

GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.

GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.

GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.

GitHub Copilot ' s limitations in generating unit tests can vary based on the IDE version you are using.

A complete replacement for developers generating code.

A productivity tool that provides suggestions, but relying on human judgment.

A solution for software development, requiring no additional input or oversight.

A tool solely designed for debugging and error correction.

Telling GitHub Copilot about the mechanism you want it to use and how to incorporate that into the response

Telling GitHub Copilot from which sources it should base the response on

Telling GitHub Copilot to try multiple times to answer the prompt

Telling GitHub Copilot to iterate several times on the answer before returning it to you

GitHub Copilot can independently create a complete software design.

GitHub Copilot can suggest design patterns and best practices relevant to the project.

GitHub Copilot can manage design team collaboration and version control.

GitHub Copilot can generate user interface (UI) prototypes without prompting.

GitHub Copilot automatically updates deprecated features in its suggestions to the latest version.

GitHub Copilot may suggest deprecated syntax or features if they are present in its training data.

GitHub Copilot always filters out deprecated elements to promote the use of current standards.

GitHub Copilot rejects all prompts involving deprecated features to avoid compilation errors.