"Cursor AI" and "Cursor" are the same product — an AI-native code editor built as a fork of VS Code — so using it means installing the editor, opening a real project, and working through four layers: Tab for autocomplete, Cmd+K for inline edits, Chat for questions, and Agent for multi-file tasks it plans and executes itself.
Short answer: Download Cursor from cursor.com, open a project folder, and use Tab for line completions, Cmd+K (Ctrl+K) to edit a selection, Cmd+L for chat, and Cmd+I for Agent mode on bigger tasks. Pick your model in the picker — Claude, GPT, or Grok are all available. The free Hobby plan covers the basics; Pro is $20/month.
I spent this past week rebuilding my normal workflow entirely inside Cursor — a mid-size TypeScript API, not a toy demo — specifically to see which features earn a permanent place in a daily routine and which ones are more marketing than substance. The naming confusion is real too: plenty of people search "Cursor AI" assuming it's a chatbot layered on top of an editor, when it's actually the editor itself. Below is the setup, the four core workflows in the order I'd learn them, and what tripped me up along the way.
What you'll need
Cursor runs on Mac, Windows, and Linux, and since it's built on VS Code's codebase, existing VS Code users can import their keybindings, themes, and extensions during the first launch — I didn't lose a single setting doing this myself. You'll need a real project folder, not a blank file, because Cursor indexes your codebase in the background to give Tab and chat context about files you haven't even opened yet. No payment method is required to start: the Hobby plan is free and includes Tab completion plus a limited allotment of Agent requests, which is enough to work through everything in this guide. An internet connection is non-negotiable — even though editing feels instant and local, every AI feature calls out to a model in the cloud.
Step-by-step: how to use Cursor AI
1. Install Cursor and open a real project
Download the installer at cursor.com, run it, then use File → Open Folder to open an actual codebase rather than a new empty tab. This matters more than it sounds — Cursor's background indexing needs real files to build the context that makes Tab and chat useful, and an empty workspace gives it nothing to work with.
2. Sign in and pick a plan
Create an account and choose Hobby to start free. You don't need to decide on Pro yet — Hobby's Agent request limit is generous enough to learn the workflow first and upgrade only once you've hit a real ceiling, not a hypothetical one.
3. Let Tab handle your routine typing
Just start coding. Cursor's Tab feature reads ahead across your whole function, not just the current line, and shows a gray multi-line suggestion — press Tab to take it, keep typing to skip it. In my testing, Tab correctly finished a second and third near-duplicate branch of a switch statement before I'd typed enough characters to disambiguate them myself, which is the clearest sign it's reading structure, not just predicting the next token.
4. Select code and hit Cmd+K for a targeted edit
Highlight anything — a function, an ugly conditional, a whole file — press Cmd+K (Ctrl+K on Windows/Linux), and describe the change in plain language. Cursor proposes a diff inline; Tab accepts it, Escape throws it away. I use this constantly for small, well-defined asks like "make this function pure" or "add a guard clause for the empty-array case," where opening a whole chat conversation would be overkill.
5. Open Chat with Cmd+L and choose your model
Cmd+L (Ctrl+L) opens the side panel for a back-and-forth conversation. Type @ to attach a specific file or @Codebase to let Cursor search the whole project instead of guessing from open tabs. The detail beginners often miss: the model picker at the bottom of the chat panel lets you switch between Claude, GPT, and Grok models mid-conversation, and in my testing the choice mattered — Claude's models tended to explain reasoning more thoroughly on debugging questions, while a GPT model got to a working code suggestion faster on straightforward asks.
6. Hand multi-file work to Agent mode
Cmd+I opens Agent, which reads, edits, and creates across several files for one request — "add a new endpoint and its test" style tasks that would otherwise mean juggling three separate Cmd+K edits. Agent shows every proposed change as a reviewable diff before touching your files. I ran the same feature request through Agent twice on the same project and it correctly matched my existing test file's naming convention both times, without being told what that convention was.
7. Write a rules file before your project grows
Once you're past a scratch project, open the Rules section in settings and describe your stack, naming conventions, and anything off-limits. Without it, Cursor infers your conventions from whatever context it can gather, which gets noticeably less reliable as the codebase grows past a few dozen files.
Example prompts you can copy
These are close to what I typed while testing the steps above:
- Cmd+K on a function: "Make this idempotent — if it's called twice with the same input, the second call should be a no-op."
- Cmd+K on a component: "Extract the inline styles into a separate stylesheet and keep the JSX unchanged."
- Chat (Cmd+L): "Trace every place
@lib/session.tsis imported and tell me which ones read cookies directly instead of using the helper." - Chat with a model switch: "Explain why this recursive function might blow the call stack on large inputs, then suggest an iterative rewrite."
- Agent (Cmd+I): "Add pagination to the
/ordersendpoint using a cursor-based approach, update the existing response type, and add a test covering the last-page case."
Name the file or scope and state the outcome — "make this better" gets you a vague diff, while "make this idempotent" or "add pagination using a cursor-based approach" gets you something you can actually review in one pass.
Common mistakes to avoid
The mistake that cost me the most time early on was letting Agent run on a genuinely ambiguous task and then being annoyed at the result — Agent isn't bad at guessing, it's just that a five-file diff built on a guess is expensive to unwind compared to a one-line Cmd+K miss. Second, sticking with the default model for everything instead of testing whether Claude, GPT, or Grok handles your specific kind of task better — the difference showed up clearly in my week of testing and costs nothing to check. Third, skipping the rules file and then being surprised when Tab or Agent ignores a convention you never actually told it about. Fourth, treating Chat like a search engine instead of @-mentioning the file you mean, which trades a grounded answer for a guess. Fifth, staying on Hobby's Agent limits well past the point where you're doing daily production work — it's a real product for learning and small projects, not sized for a full workday of agent usage.
Cursor plans compared
| Plan | Price | Agent usage | Best for |
|---|---|---|---|
| Hobby | Free | Limited Agent requests | Learning the workflow, small personal projects |
| Pro | $20/mo | Extended Agent limits | Daily solo development |
| Pro+ | ~$60/mo (usage-scaled, ~3x Pro) | 3x Pro's Agent limits | Heavier daily use, larger codebases |
| Ultra | ~$200/mo (usage-scaled, ~20x Pro) | 20x Pro's Agent limits | Power users running many parallel agent tasks |
| Teams (Standard) | $40/user/mo | Same as Pro, plus centralized billing and SSO | Small teams needing shared admin controls |
Pro+ and Ultra are billed against Pro's usage-based model rather than as flat prices, so treat those two figures as approximate; Cursor’s pricing page has the live numbers, checked here on July 30, 2026. Every paid tier includes access to frontier models, MCP support, and cloud agents according to Cursor’s docs — the difference between tiers is almost entirely how much agent usage you get before hitting a limit.
Tools that make this easier
Cursor is one of several places this workflow can live, and it's worth knowing the alternatives before you settle in. My Cursor vs Copilot comparison tested both tools' agent modes on the same coding brief if you're deciding between an AI-native editor and an extension bolted onto one you already use. For a from-scratch setup walkthrough that spends more time on the first-week habits, see how to use Cursor for beginners. If you want Cursor measured against Claude Code and OpenAI's Codex on identical tasks, my best AI tool for code roundup covers all three with real prices. For the broader field of coding assistants beyond these, ChatGPT alternatives for coding is worth a look. Since Cursor's model picker includes Claude directly, how to use Claude AI is useful background on what you're actually switching to mid-conversation. And my AI coding assistant guide is the right starting point if you're still deciding whether an editor-native tool is the right category at all versus a standalone chatbot; best AI writing tools is worth a look too if you're pairing code work with documentation.
My take
Cursor earns the "Cursor AI" search term more than most tools earn their AI branding — the model is woven into every layer of the editor rather than sitting in a sidebar you can ignore. Learn it in order: Tab needs zero trust to be useful immediately, Cmd+K needs a little more once you're comfortable handing over a selection, and Agent needs the most, since you're reviewing a diff across several files at once. Skipping straight to Agent is the fastest way to come away unimpressed, because you never build the habit of actually reading what it proposes. Hobby is free and genuinely usable for learning this; Pro at $20/month is the point where most people doing real daily work land.
Frequently Asked Questions
Is Cursor AI free to use?
Yes, for the basics. The Hobby plan costs nothing and includes Tab autocomplete plus a limited number of Agent requests — enough to learn Tab, Cmd+K, and Chat. Regular daily Agent use runs into Hobby's limits quickly enough that most working developers move to Pro at $20/month within their first couple of weeks.
How long does it take to learn how to use Cursor AI?
Tab, Cmd+K, and Chat feel natural after about a day of normal coding, since they map to typing and selecting text you already do. Agent mode takes longer to trust because you're reviewing multi-file diffs — budget a week of real project use before it feels reliable rather than risky.
What is the easiest way to get started with Cursor AI?
Open a real project on day one instead of a blank file, and let Tab do its job before touching anything else. Once accepting Tab suggestions feels automatic, move to Cmd+K, then Chat, then Agent — in that order, not all at once.
Can I choose which AI model Cursor uses?
Yes. The model picker in the chat and Agent panels lets you switch between Claude, GPT, and Grok models depending on the task — in my testing, the right choice varied by task type, so it's worth trying more than one on anything that isn't trivial.
Do I need to know how to code to use Cursor AI?
Yes. Cursor speeds up writing and editing code, but you still need to read the diffs it proposes and judge whether they're correct — it's built for people who already code, not as a no-code tool for non-programmers.