Github Copilot

GitHub Copilot acts as an AI-powered coding assistant that provides real-time code suggestions and completion, functioning as a pair programmer across IDEs to speed up coding and learning for developers.

Learn setting up VS Code for GitHub Copilot by downloading VS Code, installing Python and its extensions, and adding GitHub Copilot chat and pair programmer extensions.

Explore how Github Copilot enhances coding inside VS Code with inline suggestions, advanced code completion, vibe coding, and agentic coding that plans and executes code step by step.

Explore contextual AI assistance with code completion and an inline code assistant that predicts and completes code as you write, translating comments into functional code for complex functions and loops.

Explore how inline code suggestions from GitHub Copilot appear as ghost text and complete your Python code in Visual Studio Code, speeding up writing without interruptions.

Learn to use prompts and hints by writing descriptive comments that guide GitHub Copilot in generating code, such as add functions and Celsius to Fahrenheit converters.

Explore how GitHub Copilot writes complex code from comments, generates loops and complete classes, adds doc strings and type hints, and reviews, refactors, and documents code for clarity.

Explore how GitHub Copilot offers multilingual programming support across Python, JavaScript, C++, C#, Go, Rust, and more by switching file extensions, with language-specific libraries.

Explore GitHub Copilot Chat in VS Code, an AI programming assistant offering interactive chat, code generation, and debugging, with four modes: edit, agent, ask, and plan.

Explore how GitHub Copilot chat uses your context—code, files, and environment—to boost productivity with modes: agent mode, ask mode, edit mode, and plan mode, enabling autonomous pair programmer planning.

explore agent mode in github copilot, an autonomous coding agent that understands goals, analyzes your codebase to decide steps, and executes tasks while testing and iterating.

Plan mode in GitHub Copilot creates a detailed, step-by-step implementation plan before coding, outlining features, task flow, and research to guide future agent mode execution.

Learn how ask mode in GitHub Copilot chat explains, debugs, and suggests improved implementations, with practical examples like bubble sort and safe division, plus guidance on validation.

Explore edit mode in GitHub Copilot to transform code directly in your file with in-context editing, adding validation and error handling for better readability.

Discover wipe coding in GitHub Copilot, where language prompts shape code to your vibe, style, and intent. Learn generation methods, prompting techniques, and the iterative process that defines wipe coding.

Wipe coding describes plain-language prompts to generate code with GitHub Copilot in VS Code, best for small tasks like a login form, with iterative prompt refinement and controlled automation.

Master prompting techniques using the CAO framework: context, action, and output, to elicit clear, accurate responses from GitHub Copilot for code tasks.

Vibe coding is an iterative process that centers iterative refinement, evaluation, and prompt improvement using the CAO framework to produce clearer, more accurate, production-ready AI outputs.

Explore agentic coding with Github Copilot, where AI thinks and acts beyond suggestions, compare wipe coding with agent mode, and see agent mode build a complete project in VS Code.

Explore agentic coding, where AI agents autonomously plan, execute, and refine end-to-end software development and CI/CD workflows, versus vibe coding, a conversational copilot that requires human steering.

Master agent mode in GitHub Copilot within VS Code to build a functional, responsive e-commerce site using HTML, CSS, and JavaScript, with a local storage cart and live search.