I’ll be honest with you. When Cursor first started getting talked about in developer circles, I assumed it was just another AI coding tool with a good marketing team behind it. There are a lot of those. Most of them are fine. None of them are particularly exciting.
Then I actually used it.
That first session where Cursor understood what I was trying to build — not just the line of code I was writing, but the actual intent behind it across multiple files — was the moment I stopped being skeptical. This thing is different. Not different in a “cool feature” way. Different in a “this changes how the work actually feels” way.
So let me give you a proper review. What Cursor is, what it does well, where it falls short, who should use it, and whether the price makes sense. No fluff, just what I actually think after spending real time with i
What Is Cursor AI?
Cursor is a code editor — the software developers use to write code. If you’ve heard of Visual Studio Code, that’s the most popular one right now. Cursor is built on top of VS Code, so it looks and feels familiar if you’ve used that. But instead of AI being a little sidebar feature that occasionally suggests a line of code, Cursor has AI built into everything.
The company behind it is called Anysphere, founded in 2022 by four MIT students who dropped out to build it. As of April 2026, Cursor is the most widely used AI coding tool in the world, with over a billion dollars in annual revenue and users at companies ranging from small startups to Fortune 500 giants. Jensen Huang from Nvidia said publicly that almost all of Nvidia’s 40,000 engineers use it. That’s not a small endorsement.
SpaceX recently struck a deal to potentially acquire the company for $60 billion, which tells you something about how seriously the biggest players in tech are taking this tool.
Who Is Cursor Actually For?
Before getting into features, this is worth addressing because I’ve seen people get confused about it.
Cursor is primarily built for developers — people who write code professionally or seriously. If you’re a software engineer, a full stack developer, a data scientist who writes Python, or anyone who spends a meaningful part of their day in a code editor, Cursor is directly relevant to you.
That said, it’s also becoming genuinely useful for people who aren’t traditional developers but need to build things. The rise of what people call “vibe coding” — where you describe what you want in plain English and let AI write most of the actual code — means Cursor is being picked up by founders, product managers, and even marketers who want to build simple tools or automate things without having a full engineering background.
So the short answer: if you write code, you should be looking at this seriously. If you want to build something but don’t know how to code, Cursor is one of the more accessible ways to start trying.
The Features That Actually Matter
Tab Completion That Actually Understands You
Most AI coding tools have some version of autocomplete. You start typing and it suggests what comes next. GitHub Copilot does this. A lot of editors do this.
Cursor’s version is noticeably better and the difference is hard to explain until you experience it. It doesn’t just complete the line you’re on. It predicts what you’re about to do next — sometimes several lines ahead — based on the context of your entire file and the broader codebase. It’s the difference between a tool that finishes your sentences and a tool that understands your paragraph.
After using it for a while, you start hitting Tab almost instinctively because it’s right so often. That sounds small but it genuinely changes the rhythm of writing code. You spend less time on the mechanical stuff and more time on the actual thinking.
Composer — The Feature Everyone Talks About
This is the one that gets people. Cursor has a feature called Composer where you can describe what you want to build in plain English and it writes the code across multiple files simultaneously.
Not just one function. Not just one file. Multiple files, with the connections between them handled correctly, in one shot.
So instead of writing a backend API endpoint, then switching to the frontend file and writing the code to call it, then updating your types file — you describe what you want and Composer does all three at once. It’s a fundamentally different way of working.
Is it perfect? No. You still need to review what it produces and catch errors. But for getting a first working version of something down quickly, it’s genuinely impressive. Things that used to take me an hour I can now get to a workable state in ten or fifteen minutes.
Codebase Understanding
This is where Cursor separates itself from most competitors in a way that matters for professional work.
A lot of AI coding tools work well when you have one file open. But real projects have hundreds or thousands of files. They have interconnected systems, shared utilities, conventions that exist across the whole codebase. An AI that only understands the file you’re currently looking at can’t give you context-aware help for a real project.
Cursor indexes your entire codebase and uses that context when it responds. When you ask it a question about your code, it can pull in relevant files from across the project. When it writes new code, it follows the patterns and conventions it’s seen in your existing code.
This sounds obvious but it’s actually hard to do well and most tools don’t do it at this level.
Chat — Your On-Call Senior Developer
Cursor has a chat interface where you can ask questions, get explanations, or have a back-and-forth conversation about your code. It sounds basic but the quality of the answers is high enough that it genuinely feels like having a knowledgeable colleague available at all times.
You can highlight a confusing block of code and ask “what does this actually do.” You can paste an error message and ask what’s causing it. You can ask how to approach a problem you’ve never solved before and get a thoughtful answer that accounts for your specific codebase.
For junior developers this is transformative. For senior developers it’s still useful for the things outside your immediate expertise.
Bug Detection
Cursor has a feature where it proactively scans your code and flags potential issues — not just syntax errors but logic problems and things that could cause bugs down the line.
This one is more hit or miss in my experience. It catches real problems sometimes and other times flags things that are fine. But when it does catch something real, it saves you from a debugging session later. Worth having even if it’s not perfect.
The Pricing
There are three tiers.
Free plan. You get a limited number of “fast” AI requests per month and then slower ones after that. Tab completion is included. It’s genuinely usable for someone just getting started or using Cursor occasionally. I’d start here if you’re not sure yet.
Pro plan at $20 per month. This gets you significantly more fast requests, access to the most powerful AI models, and priority usage. For anyone using Cursor seriously for work, this is the tier that makes sense. At $20 a month it’s easy to justify if it saves you even a couple hours.
Business plan at $40 per user per month. This is for teams — it adds centralized billing, admin controls, privacy guarantees around code not being used for training, and SSO. If you’re managing a dev team, this is the one to look at.
One thing worth knowing: in mid-2025 Cursor changed the Pro plan from 500 fixed requests to a usage-metered system, which caused a lot of complaints because some users got unexpected charges. They rolled it back and issued refunds. They’ve been more transparent about it since, but it’s something to keep an eye on if you’re on a tight budget.
What Cursor Does Really Well
Let me be specific here rather than just saying “it’s great.”
Speed. The tab completion is fast enough that it doesn’t break your flow. With some tools you feel like you’re waiting for the AI. With Cursor it mostly keeps up.
Multi-file edits. Composer handling multiple files at once is genuinely a step change from how most tools work.
Codebase context. For real projects with real complexity, the fact that Cursor understands your whole codebase is a significant advantage.
Familiar interface. Because it’s built on VS Code, if you already use VS Code you can switch to Cursor and all your extensions, keybindings, and settings come with you. The learning curve is close to zero.
Model flexibility. Cursor lets you choose which AI model powers it — Claude, GPT-4, and others. You’re not locked into one model, which matters as different models have different strengths.
Where It Falls Short
I’m not going to pretend Cursor is perfect because it isn’t.
It’s still a code editor. This sounds obvious but it’s worth saying — Cursor doesn’t replace the need to understand code. If you have no coding background at all and you’re expecting to describe something in English and get production-ready software back, you’re going to be disappointed. Vibe coding works for simple things but real software requires real understanding.
The AI makes mistakes. It’s better than most tools at getting things right but it still produces wrong answers, introduces bugs, and occasionally confidently does the wrong thing. You have to review everything it produces. Developers who stop doing that run into problems.
Usage limits can be frustrating. If you’re working on a big project and burning through requests quickly, hitting the limit mid-flow is annoying. The Pro plan is generous enough for most use cases but heavy users do notice it.
Privacy concerns for some teams. Unless you’re on the Business plan with the privacy guarantee, your code is potentially being used to improve the models. For teams working with sensitive or proprietary code, this matters and needs to be checked against your company’s policies before adopting.
The pricing change history. The mid-2025 situation where users got unexpected charges was handled well in the end but it showed that Cursor is still figuring out its pricing model. Something to be aware of.
Cursor vs GitHub Copilot — The Quick Version
Since almost everyone asking about Cursor is coming from Copilot or comparing the two, here’s the short version.
Copilot is a plugin that lives inside your existing editor. Cursor is its own editor built around AI from the ground up. That fundamental difference means Cursor can do things Copilot simply can’t — like multi-file edits through Composer and deep codebase understanding.
Copilot is fine. For basic autocomplete and single-file suggestions it does the job. But developers who switch to Cursor from Copilot almost never go back, and that tells you something.
If you’re currently on Copilot and doing any kind of complex project work, Cursor is worth trying. The free tier lets you do that without any commitment.
Should You Use Cursor?
Here’s my honest take.
If you write code professionally and you’re not using an AI coding tool yet — start with Cursor. The free plan is enough to get a real sense of it. If after a week you’re not feeling the difference, nothing lost.
If you’re already on GitHub Copilot and happy — try Cursor’s free plan for a week anyway. The Composer feature alone might change your mind.
If you’re a complete beginner with no coding background — Cursor can help you get started but set realistic expectations. You’ll still need to learn the basics. It makes learning faster but it doesn’t replace it.
If you’re managing a dev team — the Business plan’s privacy guarantees and admin controls make it appropriate for professional environments. The $40 per user per month is real money but if it’s making your engineers more productive, the math works out quickly.
Final Thoughts
Cursor is the real deal. Not perfect, not magic, but genuinely one of the more meaningful improvements in developer tooling I’ve seen in a long time. The fact that it went from zero to a billion dollars in annual revenue in two years, and that SpaceX just put a $60 billion price tag on it, tells you that the people with the most information about AI are taking it very seriously.