What is Cursor?
Cursor is an AI-first code editor built as a fork of Visual Studio Code. Founded in 2022 by Anysphere, it takes the familiar VS Code interface and rebuilds the editing experience around AI interaction at every level, not as a plugin bolted on, but as a fundamental part of how the editor works. This distinction matters because it allows Cursor to do things that extensions in a standard editor cannot.
The core insight behind Cursor is that AI-assisted coding should not be limited to autocomplete suggestions. Cursor indexes your entire codebase, understands file relationships, and uses that context to power inline editing, multi-file changes, and conversational debugging. When you ask Cursor a question or request a change, it has meaningful context about your project rather than just the current file.
Cursor has grown rapidly among developers, particularly in the full-stack and startup communities. Because it is a VS Code fork, it supports all VS Code extensions, themes, and keybindings out of the box, so the migration from VS Code is essentially seamless, which lowers the switching cost compared to adopting an entirely new editor.
Key features
Codebase indexing is the foundation that makes everything else work. When you open a project, Cursor builds an index of your files, symbols, imports, and relationships. This means that when you ask a question in chat or request a change, Cursor can pull in relevant context from across your project automatically. You can also explicitly reference files with @filename syntax.
Cmd+K (Ctrl+K on Windows/Linux) is the inline editing shortcut. Select a block of code or place your cursor, press Cmd+K, describe what you want in English, and Cursor generates the edit in place. It shows you a diff that you can accept or reject. This is faster than copying code into a chat window and pasting the result back because the entire interaction happens within your editing flow.
Tab completion in Cursor goes beyond single-line suggestions. It predicts multi-line edits based on your recent changes and the patterns in your code, often anticipating the next several lines you would write. Composer is the multi-file editing tool: describe a feature or change that spans multiple files, and Composer generates coordinated edits across all of them, presented as a reviewable diff.
Development workflow
Cursor changes how you approach coding tasks. Instead of writing every line yourself and using AI for occasional suggestions, you find yourself describing changes in English more often and writing code directly less often. A typical workflow might be: open a file, Cmd+K to add a new function, tab-complete the test cases, then use chat to verify the approach handles edge cases.
For feature-level work, Composer is the standout capability. You describe a feature, for example adding authentication to an API endpoint, and Composer identifies the files that need changes, generates the modifications, and presents them as a unified diff across all affected files. This is fundamentally different from asking a chatbot for code and then manually placing it. Composer understands where changes belong in your codebase.
The .cursorrules file lets you set project-specific context that influences all AI interactions. You can specify your project's conventions, preferred libraries, coding style, or architectural decisions. This file lives in your repository root and ensures that Cursor's suggestions align with your project's standards rather than generic best practices. Teams can commit this file to ensure consistent AI behavior across all developers.
Who should use Cursor?
Full-stack developers building features end-to-end get the most value from Cursor. The codebase indexing and Composer's multi-file editing are most impactful when you are working across frontend, backend, and configuration files simultaneously. If your typical task involves touching 5-10 files across different parts of a project, Cursor's context awareness provides a significant advantage.
Developers transitioning from VS Code face the lowest possible switching cost. Your extensions, themes, keybindings, and settings transfer directly. The additional AI features layer on top of your existing workflow rather than replacing it, so you can adopt them gradually. Many developers report that they start using Cursor like VS Code with better autocomplete and progressively discover more AI-powered workflows over time.
Teams working on large codebases benefit from the indexing and context features. When your project has hundreds of files and complex interdependencies, having an editor that understands the full picture and can make coordinated changes across the codebase is genuinely more productive than an AI that only sees the current file.
Pricing breakdown
The free tier includes 2,000 code completions and 50 slow chat requests per month. Slow requests use a queue and may take 10-30 seconds to respond, compared to 1-3 seconds for fast requests. This is enough to evaluate the experience but not sufficient for daily professional use, as 50 chat requests runs out quickly during active development.
Cursor Pro costs $20 per month and includes 500 fast requests per month (using GPT-4o or Claude Sonnet-class models), unlimited slow requests, and unlimited completions. Fast requests are the main currency: each Cmd+K edit, chat message, or Composer interaction using a premium model counts as one fast request. When your fast requests run out, you fall back to slow requests for the remainder of the month.
Cursor Business costs $40 per user per month and adds centralized billing, admin controls, usage analytics, SSO/SAML enforcement, and team-wide .cursorrules management. For teams, the admin features and standardized configuration justify the premium. Compared to GitHub Copilot Individual at $10/month, Cursor Pro at $20/month is double the price but offers a meaningfully more integrated AI experience. Whether that integration is worth the premium depends on how heavily you lean on AI in your daily workflow.
How Cursor compares
Against GitHub Copilot, Cursor offers a more deeply integrated AI experience at the cost of editor lock-in. Copilot works across VS Code, JetBrains, Neovim, and more, while Cursor only works as Cursor. But within Cursor, the AI features are more tightly woven into the editing experience. Codebase indexing, Cmd+K inline editing, Composer multi-file changes, and .cursorrules are all more capable than their Copilot equivalents. If you are willing to commit to one editor, Cursor is more powerful. If you need editor flexibility, Copilot is more practical.
Against Windsurf (formerly Codeium), Cursor is the more mature product with a larger user base and more refined features. Windsurf has adopted a similar vision of AI-native editing and offers competitive features, but Cursor's head start shows in the polish and reliability of its AI interactions. Windsurf's pricing is slightly lower, which may matter for cost-conscious teams.
Against using VS Code with multiple AI extensions (Copilot, Cody, Continue, etc.), Cursor offers a more coherent experience. Extensions can conflict, have inconsistent UIs, and lack the deep editor integration that a purpose-built fork provides. The tradeoff is that Cursor's approach means you depend on a single company for both your editor and your AI features.
The verdict
Cursor is the most deeply AI-integrated coding experience currently available. If you believe that AI-assisted development is the future of programming (and the trajectory strongly suggests it is), Cursor represents the most complete vision of what that future looks like. Every editing action can be AI-enhanced, and the codebase awareness makes the AI assistance meaningfully better than what context-blind tools can provide.
The primary tradeoff is commitment. Choosing Cursor means choosing a single editor maintained by a startup, forgoing the editor diversity that Copilot offers. For some developers and teams, that dependency is uncomfortable. Cursor also requires a paid subscription for serious use because the free tier is too limited for daily development, and the Pro plan at $20/month is not cheap for a code editor.
For developers who are ready to go all-in on AI-assisted development and are comfortable with VS Code as their base editor, Cursor offers the most productive workflow available today. The combination of codebase indexing, inline editing, multi-file Composer, and contextual chat creates an experience where AI is not just suggesting code but participating in the development process.
RB
Provena.ai’s hands-on take
Tested Mar 2026
What I tested
I had a Next.js 14 project with about 15,000 lines of code that needed migrating from the Pages Router to the App Router. This is exactly the kind of refactor that is tedious, error-prone, and touches nearly every file. A manual migration would have taken a full week. I wanted to see if Cursor's agent mode could handle a real-world architectural migration, not just write a new function from scratch.
How it went
Opened the project in Cursor and started with Composer in agent mode. Fed it the Next.js migration guide and our project structure, then asked it to plan the migration. It identified 43 files that needed changes and proposed a migration order starting with layout files, then pages, then API routes. I let it work through the first batch of layout conversions. It correctly created the root layout, moved metadata to generateMetadata calls, and converted getServerSideProps to server components. The impressive part was context awareness: when it converted a page that imported a client-side hook, it automatically added 'use client' and refactored the data fetching to happen in a server component parent. I intervened about 6 times over the course of the migration, mostly for edge cases involving middleware and custom server configurations that the agent got confused about.
What I got back
43 files migrated in about 4 hours of active work (letting the agent run, reviewing its changes, occasionally correcting course). All pages converted to the App Router pattern with proper server/client component boundaries. Metadata moved from Head components to generateMetadata. API routes converted to Route Handlers. The build passed on first try after the migration, which honestly shocked me. Two runtime bugs surfaced in testing: one middleware redirect loop and one client component that needed state hoisted differently. Both were quick fixes.
My honest take
Cursor's agent mode is the closest thing to having a senior developer pair-program with you on boring refactoring work. It is not replacing architectural thinking; I still had to decide the migration strategy and catch the edge cases. But the mechanical work of rewriting 43 files according to a known pattern is exactly where it shines. The tab completion is addictive once you get used to it; after a few files, it starts predicting exactly what I want to type. The inline diff review is crucial: I could see every proposed change before accepting it, which builds trust. The $20/month Pro plan is worth it if you write code daily. Compared to GitHub Copilot, Cursor's advantage is the agentic multi-file editing. Copilot is better for single-line suggestions, but Cursor wins for anything that requires understanding the whole project.