Then follow the language-specific instructions below. Install the Visual Studio IntelliCode extension by clicking the install link on this page, or install from the Extensions tab in Visual Studio Code. By predicting the most likely member in the list based on your coding context, AI-assisted IntelliSense stops you having to hunt through the list yourself. This means you get context-aware code completions, tool-tips, and signature help rather than alphabetical or most-recently-used lists. This visual experience for members in the list and the tool-tip that IntelliCode provides is not intended as final – it is intended to provide you with a visual differentiation for feedback purposes only.Ĭontextual recommendations are based on practices developed in thousands of high quality, open-source projects on GitHub each with high star ratings. Similarly, a member’s signature or overloads shown in the IntelliSense tool-tip will have additional text marked by a small star icon and wording to explain the recommended status. In the example shown above, you can see that the predicted APIs that IntelliCode elevates appear in a new section of the list at the top with members prefixed by a star icon.
When it comes to overloads, rather than taking the time to cycle through the alphabetical list of member, IntelliCode presents the most relevant one first. The example below shows this in action for Python code. This extension provides AI-assisted IntelliSense by showing recommended completion items for your code context at the top of the completions list. For each supported language, please refer to the "Getting Started" section below to understand any other pre-requisites you'll need to install and configure to get IntelliCode completions.įor C#, C++, TypeScript/JavaScript, and XAML support in the Visual Studio IDE, check out the IntelliCode extension on the Visual Studio Marketplace. You'll need Visual Studio Code October 2018 Release 1.29.1 or later to use this extension. The Visual Studio IntelliCode extension provides AI-assisted development features for Python, TypeScript/JavaScript and Java developers in Visual Studio Code, with insights based on understanding your code context combined with machine learning.
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