Cursor Tab in Action

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Cursor Tab in Action

Let’s walk through a simple example using Cursor’s Tab and AI-assisted features to build a basic recipe and ingredients app in Python. Imagine you want to create an app that stores recipes with ingredients and instructions. To get started, define a Recipe class. Cursor’s Tab feature will assist with autocompleting code suggestions and helping structure this class efficiently. With Cursor Tab, multi-line completion will fill out the constructor and basic setup for the class, saving you the work of manually typing each attribute. Add a method to display the ingredients. As you start typing the method, Cursor will suggest the rest of the method structure. Begin by typing the class statement. As you type, Cursor’s Tab will provide suggestions for typical class components like constructors, methods, and attributes. Cursor’s smart predictions can even help with commonly used syntax, allowing you to accept these suggestions quickly. Suppose we want to improve how ingredients are displayed, perhaps by adding quantities or formatting the list more neatly. Use Cursor’s Smart Rewrite feature to select the method and prompt Cursor to enhance the display. With a single prompt, Cursor intelligently rewrites the code to handle ingredient quantities. Let’s create a method to display the cooking instructions. Start typing, and Cursor will suggest code for printing the instructions. You might only need part of the suggestion, like the method structure, but not every detail. Use Partial Accepts to accept each piece of the suggestion gradually. Now that we’ve added the methods, let’s move back to the initial method to add default values or comments. After editing one part of the code, Cursor’s Prediction will suggest the next location you might want to go, such as the constructor method. By pressing Tab, you can quickly jump to that location without needing to scroll. With Cursor, setting up and refining this class becomes quicker and more efficient. Intelligent suggestions, rewrites, and predictive navigation keep the workflow smooth and let you focus on the actual functionality of your code.

Kevin Kernegger

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