Cursor is an AI-powered code editor built on top of VS Code that can read your entire codebase, understand the context of what you're working on, and make changes across multiple files — not just autocomplete the next line.
I switched to Cursor after using GitHub Copilot for about a year. The first week felt like adjusting to a different keyboard layout — same muscle memory, slightly different feel. By the second week I stopped thinking about the switch. By the third I couldn't imagine going back.
The difference isn't that Cursor writes more code for you. It's that it understands more of what you're doing before it writes anything. Copilot reads the file you're in. Cursor reads the project.
What Cursor Is and Where It Came From
Cursor is built by Anysphere, a small San Francisco-based AI company founded in 2022. The editor is a fork of VS Code — meaning it keeps everything you already know about VS Code (the interface, all the extensions, keyboard shortcuts, themes) and adds a deeply integrated AI layer on top.
In early 2024, Cursor raised a $60 million Series A led by Andreessen Horowitz, with participation from OpenAI. By mid-2025, the company had raised an additional $900 million at a $9 billion valuation — a number that reflects how seriously investors are taking AI-native developer tools. According to the company, Cursor crossed over 1 million users in 2024 and has grown significantly since.
The editor supports models from multiple providers — OpenAI, Anthropic, and Google — and lets you switch between them depending on the task. Claude handles complex reasoning and refactoring well. GPT-4o is fast for quick edits. Having the choice in the same tool is genuinely useful.
The Features That Actually Matter
Codebase-wide context (Ctrl+K / Cmd+K)
This is the one that changes how you think about AI coding. You describe a change you want to make, and Cursor figures out which files need to be touched, makes the changes across all of them, and presents a diff for you to review. "Rename this function everywhere it's used" is a two-second operation. "Refactor this module to use the new API pattern" is something you describe and review rather than something you do manually.
Chat with your codebase (@codebase)
Open the chat panel and ask questions about your own code. "Where does authentication happen in this project?" "What does this function return when the input is empty?" "Why is this test failing?" The AI reads your actual code to answer — not a generic response based on training data, but an answer specific to your project.
Composer (multi-file editing)
Composer is Cursor's most ambitious feature. You describe a task — "add a dark mode toggle to the settings page" — and Composer plans and executes the changes across however many files are involved: the settings component, the CSS, the state management, the user preferences API. You review the full diff before anything is applied.
Tab completion
Cursor's autocomplete goes beyond single-line suggestions. It predicts multi-line completions, anticipates what you're about to type based on the surrounding context, and learns from the patterns in your specific codebase over time. It's noticeably better than standard Copilot autocomplete for most developers who've used both.
MCP support
Cursor supports the Model Context Protocol, which means you can connect external tools — databases, documentation, APIs — directly to the AI context. Ask the AI about your live database schema. Pull in documentation from external sources. This makes the AI's answers more grounded in your actual environment.
Cursor vs. GitHub Copilot vs. Windsurf
| Cursor | GitHub Copilot | Windsurf | |
|---|---|---|---|
| Base editor | VS Code fork | VS Code extension | VS Code fork |
| Codebase context | ✅ Deep, whole-project | ⚡ Limited, open files | ✅ Deep, whole-project |
| Multi-file editing | ✅ Composer | ⚡ Basic | ✅ Cascade (agentic) |
| Model choice | ✅ OpenAI, Anthropic, Google | ⚡ GPT-4o, Claude (limited) | ✅ Multiple providers |
| MCP support | ✅ Yes | ❌ No | ✅ Yes |
| Pricing (paid) | $20/month (Pro) | $10/month (Individual) | $15/month (Pro) |
| Best for | Developers wanting control + power | GitHub-integrated teams | Agentic, hands-off coding |
Cursor and Windsurf are the two closest competitors and the comparison matters. Windsurf's Cascade feature is more agentic — it takes broader actions with less supervision. Cursor gives you more control at each step. If you want the AI to go off and do things while you review at the end, Windsurf. If you want to stay in the loop at each decision point, Cursor. Neither is objectively better — it's a workflow preference.
GitHub Copilot is the natural comparison for most developers because it's what most people try first. The honest summary: Copilot is easier to adopt (it's just an extension, no new editor) and better if your team is deeply integrated into GitHub's ecosystem. Cursor is more powerful for the actual coding work, especially on larger projects where codebase-wide understanding makes a real difference.
Pricing
Cursor has a free tier with limited AI usage — enough to evaluate whether it works for you, not enough for daily professional use. The Pro plan at $20/month gives you 500 fast premium model requests per month plus unlimited slower requests, and access to all features including Composer. Business plans start at $40/user/month with team features and admin controls.
The $20/month is a reasonable comparison to GitHub Copilot Individual at $10/month. You're paying more, but the capability difference — especially Composer and codebase context — justifies it for most professional developers who try both. Many developers on teams that pay for Copilot end up paying for Cursor personally because the productivity difference is noticeable enough.
What It's Like to Actually Use It
The adjustment period is real but short. If you've used VS Code, the environment is familiar. The AI features are accessible through keyboard shortcuts and a side panel rather than a completely different paradigm.
The biggest shift is learning to think in terms of tasks rather than lines. Instead of "I need to write this function," the thought becomes "I need this behavior in this part of the app, let me describe it and see what Cursor does." That shift takes a few days to feel natural. Once it does, the speed difference compared to manual coding is significant.
It's also worth noting what Cursor doesn't do well. On very large monorepos, the codebase indexing can be slow and sometimes incomplete. The AI makes mistakes — wrong assumptions about your architecture, misunderstood requirements, or changes that work in isolation but break something elsewhere. Code review before applying changes isn't optional; it's part of the workflow.
A post on the Cursor blog noted that top users complete complex features in a fraction of the time it would take manually — but the qualifier is "top users," meaning people who've learned to prompt well and review carefully. The tool amplifies good developers more than it rescues poor ones.
Who Should Use Cursor
Cursor is best for developers who work on real projects with multiple files, established codebases, and non-trivial architecture — because that's where the codebase-wide context pays off most. For someone writing small scripts or learning to code from scratch, the overhead of the AI features doesn't add as much value.
If you're a professional developer spending meaningful hours in an editor every day, the productivity gains from Cursor are real enough that the $20/month is easy to justify. Most developers who try it seriously for two weeks don't go back.
For teams, the business plan adds admin visibility and usage controls, which matter at scale. According to GitHub's 2024 developer survey, 76% of developers were using or planning to use AI coding tools — Cursor has become the preferred choice for a substantial portion of that group, particularly among developers who prioritize code quality and project-level context over raw autocomplete speed.
Official site: cursor.com
FAQ
Is Cursor free?
There is a free tier with limited AI usage — enough to evaluate it seriously. For daily professional use, the Pro plan at $20/month is essentially required. The free tier has no time limit, just usage caps on the premium AI features.
Does Cursor work with my existing VS Code setup?
Yes. Because Cursor is a VS Code fork, it imports your existing VS Code extensions, themes, settings, and keybindings automatically. The transition from VS Code to Cursor is typically a few minutes of setup, not a migration project.
Is Cursor safe to use with proprietary code?
Cursor offers a Privacy Mode that prevents your code from being stored or used to train models. With Privacy Mode enabled, code is only sent to the AI model for the duration of your request and not retained. For enterprise use, the Business plan includes additional data privacy commitments. Details are in Cursor's privacy policy.
How is Cursor different from just using Claude or ChatGPT for coding?
The key difference is integration. Using Claude or ChatGPT for coding means copying code in and out of a chat window — the AI has no awareness of your project structure, other files, or running environment. Cursor has direct access to your codebase, can make changes in place, and maintains context across your whole project. It's the difference between asking someone for advice and having them sit next to you while you work.
Will Cursor replace software developers?
Not in any near-term scenario. What it does is shift where developer time goes — less on writing boilerplate and routine implementation, more on architecture, review, and judgment calls. According to research by McKinsey, AI coding tools can increase developer productivity by 20–45% on specific tasks — but the developers getting those gains are the ones using the tools actively and reviewing outputs carefully, not treating the AI as infallible.