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WHAT IS GITHUB CO-PILOT'S

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  • Cloud-based Generative AI tool

  • Turns Natural Language prompts into coding suggestions

  • Work across various programming languages

  • Trained on billons of line of code

  • Works on multiple IDEs

 

GITHUB CO-PILOT'S FEATURES

 

  1. Code Completion GitHub Copilot suggests code as you type. It provides context-aware completions, whether it's completing the current line or suggesting entire code blocks¹.

  2. Chat Interface You can ask Copilot for help with your code using the chat feature. Whether you need assistance solving a problem, understanding someone else's code, or fixing a bug, Copilot is there to assist

  3. Pull Request Summaries (Copilot Enterprise) In Copilot Enterprise, you can get Copilot to describe the changes in a pull request. This feature helps streamline code review and communication within teams

  4. Knowledge Bases (Copilot Enterprise) Copilot Enterprise allows you to create and manage collections of documentation. These knowledge bases provide context for chatting with Copilot, enhancing collaboration and problem-solving

 

WHAT CAN GITHUB CO-PILOT DO?

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BENEFITS OF GITHUB CO-PILOT

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FEATURES OF GITHUB CO-PILOT

 

  1. Plugin Integration in Your Favorite IDE:

    • GitHub Copilot seamlessly integrates with popular code editors and IDEs, enhancing your development environment.

    • You can access Copilot’s features directly within your preferred coding tools.

  2. Context-Aware Suggestions:

    • Copilot understands the context of your code and provides relevant suggestions.

    • Whether you’re writing a function, class, or method, Copilot tailors its recommendations to fit the situation.

  3. “Prompt Engineering” with Variable Name Completions:

    • Copilot assists in naming variables by suggesting meaningful names based on the surrounding code.

    • This feature streamlines the process of choosing descriptive identifiers.

  4. Comment-Based Prompting:

    • When you add comments to your code, Copilot interprets them as prompts.

    • It generates code snippets aligned with the comments, making your intentions clearer.

  5. Improved Suggestions via Function Names:

    • Copilot leverage’s function names to provide more accurate and relevant code completions.

    • Naming your functions thoughtfully enhances the quality of suggestions.

  6. Explaining Code:

    • Copilot Chat allows you to interact with Copilot using natural language.

    • You can ask for explanations, clarifications, or even discuss code-related concepts.

  7. Generating Code:

    • Copilot Chat assists in writing code snippets, whether it’s a simple function or a complex algorithm.

    • Describe what you need, and Copilot Chat will provide relevant code.

  8. Fixing Code:

    • Got a bug? Copilot Chat helps troubleshoot issues by suggesting fixes.

    • Describe the problem, and it will propose solutions.

  9. Generating Unit Test Cases:

    • Copilot can create unit tests for your code.

    • This feature promotes better code quality and reliability.

  10. Generating Commit Messages:

    • Copilot can even help you write descriptive commit messages.

    • It saves time and ensures your commits are informative.

 

FOR DEEP DIVING INTO GITHUB CO-PILOT

 

For more information about GitHub Copilot features, you can visit this link
Using GitHub Copilot in your IDE: Tips, tricks, and best practices

8 things you didn’t know you could do with GitHub Copilot

https://github.blog/2024-01-22-10-unexpected-ways-to-use-github-copilot/

 

HOW DOST GITHUB CO-PILOT WORK?

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INSTALLATION GITHUB CO-PILOT IN YOUR FAVRIOUTE IDE

 

1. Prerequisites

  • GitHub Account: Ensure you have a GitHub account. You might need access to GitHub Copilot, which may require a subscription depending on your usage plan.

  • Visual Studio Code: GitHub Copilot is primarily designed to work with Visual Studio Code (VS Code). Ensure you have VS Code installed. You can download it from here.

2. Installation

Install Visual Studio Code

  1. Download and install VS Code from the official website.

  2. Launch VS Code after installation.

Install GitHub Copilot Extension

Open VS Code:

  1. Launch Visual Studio Code on your computer.

Go to Extensions View:

  1. Click on the Extensions icon in the Activity Bar on the side of the window or use the keyboard shortcut Ctrl+Shift+X (Windows/Linux) or Cmd+Shift+X (Mac).

Search for GitHub Copilot:

  1. In the Extensions view, type GitHub Copilot in the search bar.

Install the Extension:

  1. Find the GitHub Copilot extension and click the Install button.

3. Configuration

Sign In to GitHub

Sign In Prompt:

  1. After installing the extension, you will be prompted to sign in to GitHub. Follow the on-screen instructions to sign in.

  2. You may need to authorize GitHub Copilot to access your GitHub account.

Grant Permissions:

  1. Grant the necessary permissions for GitHub Copilot to access your repositories and other data.

4. Usage

Enable Copilot in Your Project

Open Your Project:

  1. Open your project folder in VS Code.

Start Coding:

  1. As you write code, GitHub Copilot will start suggesting code completions and snippets.

  2. You can accept suggestions by pressing Tab or Enter or reject them by continuing to type or pressing Esc.

Using Natural Language Comments:

  1. Write comments in plain English to describe what you want to achieve, and Copilot will suggest code snippets to implement the described functionality.

 

 Q/A

 

 If I modify this variable, which other files would be affected.  ← this is not easily available about the project

GitHub Copilot doesn't automatically refactor variables across multiple files, it can greatly assist you in the process through suggestions and help you write scripts or other tools. For comprehensive refactoring, leveraging the built-in capabilities of your IDE is usually the most efficient approach.

If i migrate from java vX → java vY : what are the changes affected by changing infra.

GitHub Copilot won’t directly handle the migration process itself. It can assist with Java development tasks, including code suggestions, generation, and unit tests.

Do we have docs for our APIS? or client SDKs?

Can you ask copilot to create use docs for our APIS from our API project?


IF you change an API can it tell u impact on dependent clients in the project?


Can you ask co-pilot to generate SDK java library as a client to the REST API?

 

GITHUB-COPILOT PRO’S AND CONS

Pros of GitHub Copilot

Cons of GitHub Copilot

Increased productivity: Speeds up the coding process, allowing focus on higher-level tasks.

Dependency risk: May diminish problem-solving skills.

Wide support: Versatile for various languages and frameworks.

Variable quality: Inconsistent relevance and optimization of suggestions.

Learning aid: Offers insights into new patterns and solutions.

Learning curve: Integration and effective use can be complex.

Improves Code Quality: Provides optimization feedback.

Privacy concerns: Risks of including sensitive or copyrighted code.

Boilerplate efficiency: Automates tedious coding.

Intellectual property concerns: Uncertainty around the ownership of AI-generated code.

Seamless IDE Integration: Works well with environments like VS Code.

Cost: Might be expensive for individuals or small teams.

Guide with best practices: Acts as an on-the-go mentor for syntax.

Context limits: May not fully understand project specifics.

Reduces errors: Minimizes common coding mistakes.

Error introduction: Suggestions might lead to errors if unchecked.

Helps small teams: Acts as a virtual team member.

Requires manual work: Needs thorough testing and validation.

 

The Dawn of AI-Assisted Coding: An Introduction to GitHub Copilot
GitHub Copilot: Unveiling the Pros, Cons, and Key Considerations
GitHub Copilot Pros and Cons

 

GITHUB-COPILOT CLI

 

GitHub Copilot in the CLI is an extension for GitHub CLI that provides a chat-like interface in the terminal. It allows you to ask questions about the command line. Here’s how you can use it:

 

 

 

Getting Command Explanations: To ask Copilot in the CLI to explain a command, run:

 

  gh copilot explain "sudo apt-get"

Getting Command Suggestions: To ask Copilot in the CLI to suggest a command, use:

  gh copilot suggest "Undo the last commit"

 

Learn about GitHub Copilot in the CLI, including use cases, best practices, and limitations.

 

UPCOMMING FEATURES OF GITHUB-COPILOT WORKSPACE 

GitHub Copilot Workspace is a new development environment built on top of GitHub Copilot, the AI code completion tool. It’s designed to be task-oriented, meaning it helps you with the entire development process for a specific task, not just suggesting code within the editor1. Whether you’re addressing an Issue, iterating on a PR, or bootstrapping a project, Copilot Workspace assists you by describing what you want in natural language. It captures your intent, proposes a plan of action, and uses that plan to implement the changes. 

Sourcegraph Cody

  • offers autocomplete, chat, and commands.

  • Allows users to personalize the AI using codebase context.

  • Users can choose which Large Language Model (LLM) they want to use.

  • Offers a standard free tier.

  • Supports IDEs like Visual Studio Code, JetBrains, and Visual Studio.

https://sourcegraph.com/docs/cody/capabilities

Both tools have their strengths and are designed to cater to different needs and preferences. GitHub Copilot is deeply embedded in the GitHub ecosystem, making it a good choice for those who are already using GitHub extensively. On the other hand, Sourcegraph Cody offers more flexibility in terms of LLM selection and codebase personalization, which can be beneficial for users who work with code hosted outside of GitHub or prefer a free AI code assistant.

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