How to use GitHub Copilot Enterprise | full demo
TLDRThe video provides a comprehensive demonstration of using GitHub Copilot Enterprise for developers. It showcases how developers can utilize AI to assist with coding tasks when starting a new project or job. The presenter explains how to index a repository for specific queries, use general AI assistance for common programming questions, and integrate GitHub Copilot with local development environments. The script details how to clone a repository, work with files in VS Code, and leverage the AI to explain and suggest code changes. It also covers adding new features to a project, like a location input form, and how to create more informative pull requests with GitHub Copilot's assistance. The video emphasizes the developer's responsibility for the code and the importance of reviewing and testing before deployment.
Takeaways
- 🚀 **GitHub Copilot as an AI Pair Programmer**: GitHub Copilot assists developers by providing code suggestions and explanations, acting as an AI pair programmer when human collaboration is not immediately available.
- 🔍 **Repository Indexing**: To get specific assistance related to a repository, it needs to be indexed by GitHub Copilot, which may take a few minutes.
- 📚 **Knowledge Base**: Copilot can answer both general programming questions and those specific to the indexed repository, utilizing the project's documentation and structure.
- 📂 **Local Development**: Developers can clone repositories to their local machines and work with them using their preferred Integrated Development Environment (IDE), such as Visual Studio Code.
- 🔌 **Extensions and CLI**: To fully utilize GitHub Copilot, ensure that both the GitHub Copilot and GitHub Copilot Chat extensions are installed, and use the GitHub CLI for repository operations.
- 🤔 **Explaining Code**: GitHub Copilot can explain the code on screen, providing insights into how different parts of the code work and interact.
- 🛠️ **Code Modification Assistance**: Copilot helps in modifying code by suggesting specific changes, such as adding new input fields or altering existing forms.
- 📝 **Code Snippets and Validation**: It provides code snippets and explains the need for adding validation or properties to class models, guiding developers on where and how to implement these changes.
- 🔄 **Context Awareness**: GitHub Copilot is context-aware, utilizing open files to provide more accurate and relevant suggestions.
- 📌 **Committing Changes**: After making changes, developers should save their work and commit it with a detailed message, using tools like GitHub Desktop for a smoother workflow.
- 🔄 **Pull Request Enhancements**: GitHub Copilot can create descriptive and informative pull requests, summarizing changes and their impact on the codebase.
- 👨💼 **Responsibility and Review**: While GitHub Copilot aids in development, the developer remains in charge and is responsible for the final code. It's essential to have senior reviews and always test the code.
Q & A
What is the primary purpose of GitHub Copilot for developers?
-GitHub Copilot serves as an AI pair programmer to assist developers in writing code, understanding project structure, and answering specific programming questions without needing to ask other developers.
How does GitHub Copilot help when you are new to a project or programming language?
-GitHub Copilot can provide code suggestions, explain code functionality, and offer solutions to specific problems, thus aiding developers in getting up to speed with new projects or unfamiliar languages.
What is the process of using GitHub Copilot for a specific repository?
-First, you need to index the repository by clicking on the GitHub Copilot icon. After indexing, you can ask specific questions about the repository and receive tailored responses.
How does GitHub Copilot assist with generic coding questions?
-Even without indexing a specific repository, GitHub Copilot can answer general questions about programming, providing explanations and code snippets where applicable.
What is the role of GitHub Copilot in local development?
-Once a repository is cloned to the local machine, GitHub Copilot can be used within the code editor (like VS Code) to explain code, suggest improvements, and help write new code based on the context of the open files.
How can GitHub Copilot help in modifying a form in a web application?
-GitHub Copilot can suggest code changes for adding new fields to a form, such as a location input, and guide you through the process of implementing these changes in both the UI and the underlying model.
What is the importance of testing code before committing changes?
-Testing ensures that the changes work as expected and do not introduce bugs or errors into the existing codebase. It's a critical step in maintaining code quality and reliability.
How does GitHub Copilot facilitate the creation of descriptive pull requests?
-GitHub Copilot can generate a summary of the changes made in a pull request, focusing on the impact and significance of those changes, which helps reviewers understand the context and rationale behind them.
Why is it essential for developers to remain in control and check the code generated by GitHub Copilot?
-While GitHub Copilot aids in suggesting and explaining code, the developer is ultimately responsible for the code's correctness and quality. It's crucial to review and understand the generated code to maintain control over the development process.
How can GitHub Copilot assist in adding a property to a class model?
-GitHub Copilot provides guidance on where to add the property within the class model file, suggests the appropriate syntax, and reminds you to update constructors and other relevant parts of the codebase.
What steps can GitHub Copilot take to help a developer unfamiliar with a project?
-GitHub Copilot can read through the project files, suggest code based on the project's context, explain how different parts of the code work, and help in modifying and improving the code to suit new requirements.
Outlines
🤖 Introduction to GitHub Copilot
The video begins with an introduction to GitHub Copilot, an AI pair programmer, which assists developers in their day-to-day tasks. It's particularly useful for new hires or those starting a new project, especially when they are unfamiliar with the programming language or the project's structure. The presenter demonstrates how to use GitHub Copilot to ask generic questions and to index a specific repository for more tailored assistance. The video also covers how to clone the repository to a local machine and utilize GitHub Copilot within the VS Code environment.
🧐 Enhancing the PetSpotR Application with GitHub Copilot
The presenter discusses enhancing the PetSpotR application by adding a location input to the form for reporting a lost pet. GitHub Copilot assists in understanding the code and suggesting improvements. It provides code snippets for adding a location input and converting it into a dropdown selector, which is more user-friendly. The video also covers how to add a location property to the pet model class, ensuring that the changes are properly integrated into the application's backend. The presenter emphasizes the importance of developers being in charge and checking the code, even when using an AI tool like GitHub Copilot.
🔄 Committing Changes and Creating a Pull Request with GitHub Copilot
The video concludes with a demonstration of how to commit changes made to the code and create a pull request using GitHub Desktop and GitHub Copilot. The presenter shows how to create a new branch, commit specific and descriptive messages, and publish the branch to GitHub. A key feature highlighted is GitHub Copilot's ability to generate a descriptive summary for the pull request, which includes code snippets and references to the changes made. The presenter reminds viewers that while GitHub Copilot is a powerful tool, developers are ultimately responsible for the code they ship and should always verify the work and consult with senior developers when unsure.
Mindmap
Keywords
💡GitHub Copilot
💡Repository
💡Indexing
💡Code Snippets
💡Blazor
💡Model Class
💡Pull Request
💡Commit
💡Branch
💡GitHub CLI
💡Visual Studio Code (VS Code)
Highlights
GitHub Copilot is an AI pair programmer that can assist developers in coding and understanding project structures.
Developers can use GitHub Copilot to generate code snippets and get explanations for their codebase.
GitHub Copilot can answer generic coding questions, such as how to shorten a URL.
To ask specific questions about a repository, it needs to be indexed by GitHub Copilot, which may take a few minutes.
While a repository is indexing, developers can explore topics and popular repositories within GitHub Copilot.
GitHub Copilot can help create API tokens and provide code examples for advanced security features.
Once a repository is indexed, developers can ask specific questions about the project files and structure.
GitHub CLI can be used to clone repositories to a local machine for further development.
Visual Studio Code with the GitHub Copilot extension allows for in-editor assistance and code explanations.
GitHub Copilot chat can explain the functionality of the code on the screen and provide breakdowns.
Developers can get assistance on how to modify forms and add new input fields with GitHub Copilot.
GitHub Copilot provides guidance on adding properties to class models and where to locate model files.
The tool can suggest code for creating dropdown selectors and help customize options based on context.
GitHub Copilot can automate the creation of descriptive and informative pull requests.
It emphasizes the importance of developers being in charge and responsible for the code they ship.
GitHub Copilot helps in reducing the time taken to understand code and make changes, thus increasing productivity.
The tool encourages testing of code before committing changes to ensure functionality and reliability.
GitHub Copilot's chat feature provides context-aware suggestions, enhancing the development experience.