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Cursor: the AI code editor that works on your whole project

Cursor, the AI code editor

At some point, every builder runs into the ceiling of browser tools: you need to change real code, connect a real API, or fix something the chat just cannot reach. That is the moment to open Cursor. It is the editor that made "AI pair programming" feel normal, and it remains the default choice for people who want AI deeply involved in actual code. This post covers what it is, what you can do with it, and how to get started.

What is Cursor?

Cursor (cursor.com) is a desktop code editor built on top of VS Code, the most popular editor in the world. That means it looks familiar, your VS Code extensions and themes carry over, and the learning curve for the editor itself is close to zero. The difference is that AI is woven into everything. Cursor indexes your entire project, so when you ask a question or request a change, it answers with knowledge of your actual codebase, not generic examples.

The three ways you use it

  • Tab completion. As you type, Cursor predicts your next edit, often across multiple lines, and you accept it with the Tab key. It learns the patterns in your project, so suggestions feel like they came from a colleague who has read all your code.
  • Inline edits. Select a piece of code, describe the change in plain language, and Cursor rewrites it in place. "Make this function handle empty input" or "convert this to async" are seconds of work.
  • Agent mode. The headline feature. Describe a whole task ("add a login page and protect the dashboard route") and Cursor plans it, edits the right files across the project, runs commands, reads errors and keeps going until the task is done. You review the changes file by file and accept or reject them.

What you can do with it

Cursor assumes there is code involved, but you do not need to be an expert. Realistic use cases:

  • Continue a vibe coded project. Export your Lovable or Bolt project to GitHub, open it in Cursor, and now you can make precise fixes that chat tools struggle with.
  • Build scripts and automations. Data cleanup, file processing, scrapers, API calls. Describe the goal and iterate.
  • Understand unfamiliar code. Open any repository and ask "how does authentication work here?". Cursor answers with references to the actual files.
  • Fix bugs fast. Paste an error or point the agent at failing behavior, and let it hunt through the project.

Why people get hooked

The honest answer is speed. Tasks that used to mean an evening of documentation reading become a conversation. But the second reason matters more for learners: Cursor shows its work. Every change arrives as a visible diff you approve, so you see exactly what good code for your request looks like, in your own project. Ask it to explain its changes and you have a patient tutor sitting inside your editor.

What does it cost?

There is a free tier to try the experience with a limited budget of AI requests. The Pro plan is the one most regular users have, with a much larger monthly allowance across top models from Anthropic, OpenAI and Google. Students can frequently get a free year of Pro through the student program, which is one of the best deals in the entire AI tool landscape. Check the student page before paying.

Honest about the limitations

Cursor is a desktop application, so unlike browser tools there is an installation step, and you need a project on your machine to point it at. Complete beginners can absolutely use it, but the experience assumes you are at least willing to look at code. The other caution is overtrust: agent mode is impressive, but it can confidently make changes that work in the demo and break edge cases. Review the diffs, run the app, and keep tasks scoped. "Add this one feature" beats "improve my app" every time.

How to get started today

  1. Download Cursor from cursor.com and install it.
  2. Open a project folder, or clone one of your repositories from GitHub.
  3. Let it index the project, then open the chat and ask something about your code.
  4. Try a small inline edit first, then give the agent one well described task.
  5. Review the diff, accept what is good, and build from there.

An example task to give the agent:

In this project, add a simple settings page.
It needs a form with: display name (text), email notifications (toggle),
and a save button that stores the values in localStorage.
Add a link to the settings page in the existing navigation bar.
Follow the styling patterns already used in this project.

Cursor is where vibe coding grows up. The chat is still there, the speed is still there, but now you are working with the real code, and slowly, almost accidentally, you start to understand it.

Prices, limits and features change fast in the AI world. Always check the official page of the tool for the current state of things.