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Cursor AI

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description Cursor AI Overview

Cursor is less of a simple completion tool and more of an AI-native IDE built around interaction. It excels at understanding the entire codebase context through its chat interface, allowing users to ask complex questions like, 'Refactor this service to use async/await and add logging.' It shines when the task requires high-level reasoning, debugging across multiple files, or generating large blocks of interconnected code, making it a powerful research and development tool.

help Cursor AI FAQ

Is Cursor built on top of VS Code?

Yes, Cursor is a fork of Visual Studio Code, meaning it retains VS Code's interface, extension compatibility, and keyboard shortcuts while adding AI-native features on top. The fork is maintained by Anysphere, the company behind Cursor. This means you can typically install your existing VS Code extensions in Cursor without issue.

Can Cursor understand my entire codebase or just the current file?

Cursor indexes your entire project and can use whole-codebase context in its AI chat, allowing you to ask questions like 'where is this function called' or 'refactor this service to use async/await.' This is one of its primary advantages over standard inline completion tools that only read the current file. The chat interface lets you reference specific files, functions, or directories explicitly.

Which AI models does Cursor support?

Cursor supports multiple AI models, including OpenAI's GPT family and Anthropic's Claude family. Users can switch between models depending on the task, with Claude models often preferred for large-context coding tasks due to their extensive context windows. The available models may change as new versions are released by the underlying providers.

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