GitHub Copilot supports several programming languages and frameworks, including but not limited to: C#, C++, and Python. While all three aim to improve developer productivity, GitHub Copilot stands out with its ability to understand the context of your code and provide more accurate and relevant suggestions. It works with many programming languages and offers more advanced assistance compared to IntelliCode and IntelliSense.

GitHub Copilot is an AI-powered code completion extension for Visual Studio that leverages a vast dataset of publicly available code to provide context-aware code suggestions, snippets, and even entire functions.

It goes beyond IntelliSense by analyzing your code to understand common practices and recommend suggestions accordingly.

IntelliCode is an extension for Visual Studio that uses AI to provide more intelligent code completions based on patterns found in your codebase.

IntelliSense is language-specific and works with a limited set of programming languages. Such suggestions include variable names, functions, and classes. IntelliSense is a code completion feature built-in to Visual Studio, which provides suggestions based on the current context.Here's a detailed look at what each technology can do for you: How GitHub Copilot compares to IntelliSense and IntelliCode You can also use GitHub Copilot to convert comments to code, create unit tests, create SQL queries, and more. You can receive suggestions also by writing a natural language comment describing what you want the code to do.

As you type code, the AI analyzes the context and provides relevant suggestions in real-time. GitHub Copilot works by utilizing advanced machine learning models trained on a vast dataset of publicly available code from GitHub repositories. See Our principles for using AI-generated content in Microsoft Learn. Before publishing, a human author reviewed and revised the content as needed. This article was partially created with the help of artificial intelligence.

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