Every few years, something comes along that genuinely changes how developers work. Cursor might be one of those things.
I've been using it as my daily driver for about two months now, across a mix of Python backends, TypeScript frontends, and the occasional shell scripting. And honestly, it's the first editor change I've made that actually stuck since I moved from Sublime Text to VS Code years ago.
Here's a proper breakdown of what Cursor is, how the AI features actually work in practice, and whether $20/month is worth it.
What Cursor Actually Is
Cursor is a code editor built on top of VS Code. That's the single most important thing to understand about it. It's not a plugin, it's not an extension — it's a full fork of VS Code with AI capabilities baked in at the core level.
Because it's built on VS Code, you import your existing settings and extensions in about 30 seconds. Your themes, your keybindings, your linters, your Git integrations — all of it comes along for the ride. There's no "getting used to a new editor" friction here. You open Cursor and it just looks like your VS Code, except now there's an AI that actually knows what it's doing.
The editor is developed by a company called Anysphere, and they've raised significant funding to build this. It's not a side project — there's a proper team behind it and the product gets meaningful updates regularly.
The Three AI Features That Actually Matter
Tab Completion (The One You'll Use 90% of the Time)
Cursor's Tab completion is genuinely different from what you might expect from AI autocomplete. It doesn't just complete the current line — it predicts whole blocks of code, understands what you were doing a few lines ago, and fills in logic accordingly.
Here's a simple example: you write a function signature and a docstring. Before you've typed a single line of the function body, Cursor suggests the entire implementation. Hit Tab, and it's there.
The predictions are fast, usually appearing within half a second. And here's the thing that surprised me — after a few days, I stopped noticing it consciously. It just became part of typing. You'll find yourself writing code faster without quite realizing why.
It's not perfect. It sometimes suggests code that's syntactically correct but logically wrong for your specific case. You still have to read what it's suggesting. But the hit rate is high enough that it dramatically reduces the time you spend on boilerplate and repetitive patterns.
Ctrl+K (Inline Edits)
Select a block of code, press Ctrl+K, and tell Cursor what to change in plain English. "Add input validation", "convert this to async", "refactor this to use a switch statement instead of if-else chains", "add error handling for network failures".
It edits inline, shows you a diff, and you accept or reject the changes. This is genuinely faster than writing the changes yourself for anything more than a line or two.
The thing I use Ctrl+K for most is refactoring. I'll select a messy function that works but is hard to read, type "clean this up, add comments, make variable names clearer", and Cursor does a reasonable job in about two seconds. It's not always perfect, but it's a good starting point.
Cmd+L (The Chat — Context Is Everything)
The chat feature is where Cursor separates itself from a plain autocomplete tool. Press Cmd+L, and you get a chat sidebar with access to all the context in your codebase.
The key difference from something like ChatGPT is that you can explicitly add files to the context. You can say "look at @auth.py and @models.py and tell me where the authentication logic might fail." It reads those files and reasons about them together. You can also use @codebase to search across the whole project.
In practice, this means asking questions like "where do we handle user session expiry?" and actually getting a useful answer that points to specific files and lines. Or asking "how should I add rate limiting to the API given how the middleware is structured?" and getting an answer that's consistent with your actual code, not some generic tutorial.
The chat uses Claude (Anthropic's model) and GPT-4 depending on the task, with access to the latest models on the Pro plan. Responses are fast enough for daily use.
Who Cursor Is Best For
If you're a solo developer, freelancer, or small team and you spend most of your day writing code, Cursor is probably worth it. The productivity gain is real. It's not one of those tools where you convince yourself you're getting value — you actually notice it in how quickly you move through tasks.
It's especially good if you work across multiple files in a project regularly. The codebase-aware chat is where the real advantage lives. Simple autocomplete tools don't have this.
If you're on a larger team with strict security requirements around code not leaving internal infrastructure, the Business plan at $40/month per user gives you Privacy Mode by default and SSO/admin controls. That's a reasonable price for what you get.
Students and beginners can start on the free tier. 2,000 completions per month sounds like a lot until you're actually using it daily, but it's enough to get a feel for whether it changes how you work.
How It Compares to VS Code Plus Copilot
This is the real question for most developers. GitHub Copilot with VS Code is the incumbent setup. If you already have it, is Cursor worth switching?
The honest answer: yes, for most people. I've written a full comparison if you want the details, but the short version is that Cursor's multi-file context awareness and the depth of the inline editing experience are meaningfully better than Copilot's. Copilot is a plugin bolted onto an editor. Cursor is an editor designed from the ground up with AI as a first-class feature.
If you want the full breakdown of how they stack up feature by feature, check out the GitHub Copilot vs Cursor comparison I wrote separately.
Pricing
Cursor has three plans:
The Free tier gives you 2,000 autocomplete completions per month and 50 uses of the slower premium models. It also gives you unlimited uses of cursor-small, their in-house model that's decent for basic completion. If you're just testing the waters, this is a reasonable starting point.
Pro is $20/month. This gets you unlimited completions with the fast models, 500 premium model requests (GPT-4, Claude), and unlimited cursor-small requests. This is what most individual developers use. For two months, I've been on Pro and haven't hit any limits.
Business is $40/month per user. Adds Privacy Mode by default, centralized billing, SSO, and admin controls. Worth it for teams handling sensitive codebases.
The free tier is genuinely usable, not a frustrating teaser. But if you're using it for serious work, Pro at $20/month is the right move. It's less than a Netflix subscription and the productivity difference is real.
Real Limitations (Don't Ignore These)
Cursor isn't perfect. A few things worth knowing before you commit.
The AI suggestions are only as good as the context they have. On very large monorepos, Cursor can struggle to pull in the right files. You end up manually specifying what to include in the context, which is slightly annoying but workable.
The models can hallucinate. This is true of all LLM-based tools, but it matters in code. Cursor might suggest a function that doesn't exist in the library you're using, or write code that looks plausible but is subtly wrong. You still have to understand what you're accepting. It's a coding assistant, not a replacement for knowing how to code.
The free tier limits are real. 2,000 completions sounds like a lot, but in a full coding session, you can use them up in a few days. If you're doing this seriously, budget for Pro.
And if you're on a team, you need to have a conversation about which AI tools are approved. Some companies have policies about code being sent to external APIs. Enable Privacy Mode and check your company's policy before using it on work code.
The Bottom Line
Cursor is the best AI coding tool I've used, and I've tried most of them. It's not hype — the day-to-day experience of writing code is genuinely better with it. The Tab completion saves time on boilerplate, Ctrl+K makes refactoring faster, and the codebase-aware chat is something you didn't know you needed until you have it.
The free tier is good enough to evaluate it properly. Spend a week on the free plan, use it on a real project, and you'll know whether Pro is worth it for you. My guess is that most developers who try it don't go back to their old setup.
Try Cursor free → — the free plan requires no credit card.
Tested on macOS with Python and TypeScript projects. Prices as of May 2026.