How to Use Cursor: A Beginner’s Guide to the AI Code Editor
Cursor is a code editor built on the same foundation as Visual Studio Code, with AI woven into the editing experience instead of bolted on as a plugin. If you already use VS Code, the layout, extensions and shortcuts will feel familiar. What changes is that you can ask the editor to complete, rewrite or build code across several files. This guide explains the main features, a sensible first hour, and the habits that keep AI-written code from causing trouble.
⚡ Quick facts
- What it is: An AI-first code editor built on the VS Code codebase
- Core features: Tab completion, inline edit, chat, and an Agent that can change several files
- Setup: Download from cursor.com, then import your VS Code settings and extensions
- Best for: Developers who want AI help inside an editor rather than in a terminal
- Check first: Current plan limits and the privacy settings before opening private code
What Cursor does differently
A normal editor with an autocomplete plugin suggests the next few characters. Cursor works at a larger scale. It indexes your project so the model can see more than the open file, and it offers several ways to work with that context, from tiny completions to a multi-step agent that plans a change, edits files and runs commands. Cursor’s own documentation is the best reference for the current feature set, because the product changes quickly.
The four ways to work with it
Tab: completions as you type
Tab suggests code inline. It can finish the current line, fill in a whole function body from a name and a comment, and propose small edits near where you are working. Press Tab to accept and keep typing to ignore it. It is the lowest-risk feature to start with because you see every suggestion before it lands.
Inline edit: change a selected block
Select some code, press Cmd+K on a Mac or Ctrl+K on Windows and Linux, and describe the change, for example “handle the empty list case” or “convert this to async”. Cursor shows a diff that you accept or reject. This suits changes that touch one function or one file.
Chat: ask about your codebase
The chat panel answers questions about your project. You can point it at files, folders or documentation so it answers from the right place instead of guessing. Use it to understand unfamiliar code before changing it, which is often the most valuable use for new team members.
Agent: a larger task, in steps
Agent mode takes a goal such as “add pagination to the orders page and update the tests”. It plans the work, edits multiple files, can run terminal commands, and iterates on errors. It is powerful and also the mode where mistakes get expensive, so give it small, specific tasks and read what it changed.
A sensible first hour
- Download the installer from cursor.com and import your VS Code settings and extensions when prompted.
- Open a small project you know well and type normally. Watch what Tab suggests and accept a few completions.
- Select a function and use inline edit to make one small change.
- Open chat and ask Cursor to explain a part of the code you did not write.
- Only then try Agent on a contained task, such as adding a unit test for one function.
Set project rules early
Rules are persistent instructions that Cursor applies to your project, for example your naming style, preferred libraries, test framework, or things it must never touch. At the time of writing they live in a rules folder inside the repository, which means they are versioned with the code and shared with teammates. Check the documentation for the current file format. Writing three or four clear rules usually improves results more than rewording individual prompts.
Habits that prevent problems
- Commit before an Agent run. A clean git state lets you discard a bad result in one command.
- Read the diff. AI-written code can look right and still be wrong, especially around edge cases, security checks and error handling.
- Keep tasks small. One feature or one bug at a time gives better results than a broad request.
- Run the tests. If you do not have tests, ask Cursor to help write them first.
- Check privacy settings. Cursor offers privacy controls that affect what is stored. Read the data-use policy before opening proprietary or client code.
How it compares with other coding tools
GitHub Copilot lives inside existing editors and is a good fit if you do not want to change editors. Terminal agents such as Claude Code work from the command line and suit people who prefer to review changes as diffs in git; our piece on Claude Code cloud sessions shows how that approach works. Autonomous software agents are a further step along, covered in our report on Cognition’s Devin. Plans, usage limits and prices for all of these change often, so compare the official pricing pages on the day you decide.
Official source: Cursor documentation. Features, limits and prices change often, so confirm details there before you rely on them.
Frequently asked questions
Is Cursor the same as VS Code?
Cursor is built on the VS Code codebase, so settings, themes, extensions and shortcuts carry over. The difference is the built-in AI features such as Tab, inline edit, chat and Agent mode.
Do I need to know how to code to use Cursor?
It helps a lot. Cursor can write code for you, but you still need to read and test what it produces. Beginners can learn faster by asking chat to explain code, yet they should treat generated code as a draft rather than something proven.
What are Cursor rules?
Rules are standing instructions for the AI, such as coding conventions, libraries to prefer and files to avoid. They are kept with your project so every chat and Agent run follows them.
Is it safe to use Cursor on private code?
That depends on your settings and your employer’s policy. Review Cursor’s privacy and data-use documentation and any privacy-mode setting before opening confidential repositories, and ask your security team if the code belongs to a company.
Should I choose Cursor, GitHub Copilot or Claude Code?
Choose Cursor if you want an AI-first editor, Copilot if you want AI inside the editor you already use, and a terminal agent if you prefer command-line workflows. Many developers try two of them on the same small project before deciding.