What is GitHub Copilot?

GitHub Copilot is an AI-powered code assistant that integrates directly into your IDE or GitHub environment, providing contextual code completions, chat assistance, and explanations throughout the software development lifecycle to accelerate coding and improve productivity.

How do I interact with GitHub Copilot in the IDE?

You can use GitHub Copilot Chat inside supported IDEs like Visual Studio Code to ask coding questions, receive code suggestions, and even get implementations done via different chat modes including Ask mode for answers and code suggestions, Edit mode to command Copilot to make code edits across multiple files, Agent mode to let Copilot autonomously complete tasks like fixing bugs or updating docs, and Plan mode to generate detailed implementation plans for projects. You switch modes using the agents dropdown in the chat view.

What are best practices for using GitHub Copilot?

Best practices for using GitHub Copilot include creating thoughtful, clear prompts, rewriting prompts if suggestions are unhelpful to try different responses, using keywords to focus Copilot on specific tasks or code context, and choosing the right Copilot tool or mode for your needs.

Can GitHub Copilot work autonomously?

Yes. The Copilot coding agent can work independently in the background on GitHub repositories by creating branches, writing commit messages, pushing code, and opening pull requests. It can fix bugs, implement features, improve tests, update documentation, and more. This happens transparently in the pull request workflow and supports collaboration.

What data does GitHub Copilot use?

Copilot uses pseudonymous user engagement data (like accepted or dismissed completions), chat prompts with context, and feedback to generate suggestions and improve the service. Interaction data sent to the AI model is designed to produce the best contextual suggestions.

How do I use GitHub Copilot from the command line?

You can install GitHub Copilot CLI via npm and then invoke code suggestions, create issues or pull requests, and manage branches straight from your terminal. Copilot CLI reads and modifies files within trusted directories and provides command-line prompts to help with development tasks.

Is GitHub Copilot available for all users and plans?

Copilot coding agent and advanced capabilities require Pro, Pro+, Business, or Enterprise plans. It is available in most repositories except those owned by some managed user accounts or where explicitly disabled.

What are common troubleshooting tips?

Common troubleshooting tips include ensuring Copilot Chat is enabled and that you are logged into the appropriate subscription, following documentation for IDE setup (such as Visual Studio Code or JetBrains IDEs), rephrasing prompts or restarting the IDE if suggestions do not appear, and checking for updates or known issues in GitHub discussions or GitHub docs.

GitHub Copilot

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GitHub Copilot is an AI coding assistant that helps developers write code faster and smarter. It works right inside your code editor, on the command line, and across GitHub, offering smart suggestions, chat help, and even automated code tasks to make your workflow much smoother.

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Overview Features Use Cases FAQ Integrations Pricing

About GitHub Copilot

Who It's For

GitHub Copilot is for any developer, from individuals and students to large companies. It helps everyone write code faster and work more efficiently, regardless of their project size or team.

What You Get

You get an AI partner that offers smart code suggestions directly in your editor. It answers coding questions, explains concepts, and can even automatically fix bugs or generate code. It simplifies your coding experience.

How It Works

Copilot uses powerful AI models trained on public code. It integrates into your coding tools like your IDE or command line. Understanding your project, it gives real-time suggestions, completes code, and assists with various tasks.

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Features & Capabilities

⚙️ Core AI Functionality

AI-Powered Code Completion & Chat

Provides contextual code completions, explanations, and chat assistance directly within the IDE and GitHub platform.

Flexible LLM Selection

Allows users to choose from leading Large Language Models optimized for different priorities like speed, accuracy, or cost.

Autonomous Coding Agents

Enables Copilot to take on tasks like writing code, creating pull requests, and responding to feedback based on assigned issues.

Natural Language CLI Interface

Empowers developers to interact with Copilot in the terminal using natural language for planning, building, and executing workflows.

🏢 Enterprise Customization & Control

Custom Knowledge Integration

Transforms Copilot into a project expert by incorporating context from an organization's internal documentation and repositories.

Secure Integration Management

Controls access to MCP servers from developer IDEs, enhancing security through explicit allow-listing.

Centralized Policy & Access Control

Provides administrators with tools to manage user access, preview features, models, and define organizational Copilot policies.

Private Model Customization

Offers access to fine-tuned custom, private AI models for more tailored suggestions based on an organization's codebase (Enterprise plan).

🔒 Responsible AI & Security

Enterprise Data Privacy Assurance

Ensures that data from Business and Enterprise accounts is not used for training GitHub's public AI models.

Code Referencing for Licensing

Helps identify suggestions that match public code and provides details about their origin and associated open-source licenses.

Vulnerability Detection Filters

Incorporates filters to block or flag suggestions containing common insecure coding patterns and vulnerabilities.

Offensive Output Prevention

Includes mechanisms to detect and suppress offensive language in prompts and avoid generating inappropriate content.

Use Cases

Accelerating Code Generation and Completion

Developers often spend considerable time on boilerplate code and routine tasks. GitHub Copilot integrates directly into the IDE, providing intelligent code completions, generating functions from comments, and offering real-time suggestions, which significantly accelerates the coding process and allows developers to focus on higher-value work.

Software DevelopmentFor: Individual Developers, Software Engineers

Automating Development Workflow with Intelligent Agents

Development teams frequently deal with repetitive tasks like bug fixes, documentation updates, and managing pull requests. GitHub Copilot's coding agents can autonomously create branches, write commit messages, open pull requests, and respond to feedback, streamlining the development pipeline and enabling teams to ship features faster.

B2B SaaSFor: Development Teams, DevOps Engineers

Streamlining Command-Line Operations

Developers can find complex command-line interfaces cumbersome and difficult to master. GitHub Copilot CLI allows users to interact with the terminal using natural language, enabling them to plan, build, and execute complex workflows efficiently, reducing the need to memorize intricate commands.

Software DevelopmentFor: Software Engineers, System Administrators

Customizing AI for Enterprise Codebase Understanding

Large organizations need AI coding assistants that deeply understand their proprietary codebase and internal documentation while meeting strict security and customization requirements. GitHub Copilot Enterprise indexes an organization’s code for tailored suggestions, provides access to fine-tuned private models, and integrates natively into GitHub.com, ensuring contextually relevant and secure AI assistance across the enterprise.

Enterprise SoftwareFor: Enterprise Development Teams, Engineering Leadership

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