Cursor Review — The AI Code Editor That Changed How We Build Software

There is a before and after with Cursor. Before, I wrote every line of code by hand, context-switched between documentation tabs, and spent 30 minutes debugging typos in configuration files. After, I started having conversations with my codebase and watching entire features materialize in seconds. Cursor is not just a code editor with AI bolted on — it is a fundamentally different way to build software.

I switched from VS Code to Cursor two months ago and used it exclusively across three production projects: a Next.js SaaS application, a Python data pipeline, and a React Native mobile app. This review covers everything I learned — the features that blew me away, the rough edges I hit, and whether the Pro plan is worth $20 a month.

What Is Cursor?

Cursor is an AI-first code editor built on top of VS Code by Anysphere, a San Francisco-based startup. It is not a VS Code extension or plugin — it is a full fork of VS Code that integrates AI capabilities at a much deeper level than any extension could. You get the entire VS Code ecosystem (extensions, themes, keybindings, settings) plus a suite of AI features designed specifically for software development.

The core AI features include Tab (intelligent code completions), Chat (a context-aware AI conversation panel), Composer (an agent that can create and edit multiple files), and Cmd+K (inline code generation and editing). Under the hood, Cursor connects to frontier models like Claude, GPT-4o, and its own fine-tuned models, routing your requests to whichever model best fits the task.

What makes Cursor different from GitHub Copilot or other AI coding tools is its deep understanding of your project context. Cursor indexes your entire codebase and uses that index to provide suggestions that are aware of your architecture, your naming conventions, your dependencies, and your patterns. It does not just autocomplete syntax — it understands intent.

Getting Started (vs VS Code)

If you are a VS Code user, the transition to Cursor is nearly frictionless. On first launch, Cursor offers to import your VS Code extensions, themes, keybindings, and settings. I clicked "Import All" and within 30 seconds had an editor that looked and felt identical to my VS Code setup, but with AI superpowers.

The onboarding experience is thoughtful. Cursor walks you through each AI feature with a brief tutorial, and the default keybindings are intuitive: Tab for completions, Cmd+K for inline edits, Cmd+L to open Chat, and Cmd+I to open Composer. Within an hour, these shortcuts were muscle memory.

One important note: Cursor and VS Code can coexist on the same machine. You do not need to uninstall VS Code, and your VS Code settings remain untouched. I kept VS Code around for the first few weeks as a safety net, but I have not opened it once since switching.

For developers coming from JetBrains IDEs, Vim, or Emacs, the transition is steeper since you are also adopting the VS Code paradigm. But the AI features are compelling enough that several JetBrains devotees on our team made the switch and have not looked back.

AI Completions (Tab)

Tab completions are the feature you will use most, and they are remarkably good. As you type, Cursor predicts what you are about to write and shows a ghost text suggestion. Press Tab to accept. Simple concept, extraordinary execution.

What sets Cursor's Tab apart from Copilot is the quality of multi-line predictions. When writing a new function, Cursor does not just complete the current line — it predicts the entire function body based on the function name, the surrounding code, and patterns elsewhere in your project. For example, while building an authentication middleware in our Next.js app, I typed:

export async function authMiddleware(req: NextRequest)

Cursor immediately suggested a complete implementation that checked for a session token in cookies, validated it against our existing auth utility (which it found in another file), and returned appropriate redirect responses for unauthenticated users. The suggestion matched our existing error handling patterns and used our project's specific response utilities. I pressed Tab and the function was done — correctly.

The completions also shine for repetitive patterns. When writing database migration files, test cases, or API route handlers that follow a consistent structure, Cursor picks up on the pattern after you write one or two examples and autocompletes the rest with remarkable accuracy. During one session, I wrote 15 API endpoint handlers in about 20 minutes — work that would have taken over an hour of copy-paste-modify manually.

Tab completions are not perfect, of course. They occasionally suggest outdated API patterns from older library versions, and in highly domain-specific code (like custom DSLs or uncommon frameworks), the suggestions can miss the mark. But the accept rate in my daily usage hovers around 40-50%, which means nearly half the code I write is a single Tab press.

Chat & Composer

Chat (Cmd+L) opens a conversation panel where you can ask questions about your code, request explanations, or ask the AI to write code for you. What makes it powerful is the context system — you can tag specific files, functions, or documentation using the @ symbol, and Cursor includes that context in the conversation.

A typical interaction might look like: "@schema.prisma @userController.ts Can you add a 'lastLoginAt' field to the User model and update the login controller to set it?" Chat will show you the exact changes needed in both files, and you can apply them with a single click.

Composer (Cmd+I) takes this further. It is an agentic mode where Cursor can autonomously create, edit, and delete multiple files to accomplish a task. You describe what you want at a high level, and Composer plans and executes the changes across your codebase.

Here is a real scenario from our SaaS project. I opened Composer and typed: "Add a Stripe webhook endpoint that handles subscription.created, subscription.updated, and subscription.deleted events. Update the user's subscription status in the database accordingly. Include proper signature verification and error handling."

Composer created a new webhook route file, added the Stripe event handlers with signature verification, updated the database service with new subscription methods, added the webhook secret to the environment type definitions, and even created a basic test file. The entire process took about 45 seconds. I reviewed the changes, made two minor adjustments, and it was production-ready.

The Chat panel is also invaluable for understanding unfamiliar code. When onboarding onto our Python data pipeline (which another developer had written), I frequently highlighted functions and asked "Explain what this does and why" or "What would break if I changed this parameter?" The explanations were accurate and saved hours of code archaeology.

Multi-file Editing

Multi-file editing is where Cursor demonstrates its biggest advantage over tools like Copilot that operate at the single-file level. Real software development rarely involves changes to just one file — a new feature typically touches routes, controllers, services, types, tests, and documentation.

Cursor understands this. When you ask Composer to implement a feature, it traces the dependencies and relationships across your project and makes coordinated changes. Add a new field to a TypeScript interface, and Cursor will update every file that implements or consumes that interface. Rename a function, and it updates imports, calls, and tests across the entire codebase.

During our React Native project, we needed to add push notification support. I described the requirement to Composer, and it made changes across 11 files: the notification service, the permission handler, the Firebase configuration, the navigation handler for deep links, the notification preferences screen, the settings reducer, and the relevant test files. Were all the changes perfect? No — I adjusted about 15% of the generated code. But having a solid starting point across all those files saved at least two hours of work.

One powerful workflow pattern I developed: use Cmd+K for small, inline edits (rename this variable, add error handling to this block), Chat for understanding and single-file changes, and Composer for anything that spans multiple files. This three-tier approach matches the natural granularity of coding tasks and keeps the AI assistance proportional to the task size.

Privacy & Code

Privacy is a legitimate concern when an AI tool has access to your entire codebase. Cursor handles this reasonably well, though there are important nuances to understand.

By default, Cursor sends code snippets to AI model providers (Anthropic, OpenAI) to generate suggestions. Your code is processed but not stored or used for training by these providers under Cursor's data processing agreements. Cursor itself states that it does not train on your code and does not store it beyond what is needed to provide the service.

For teams with stricter requirements, Cursor offers a Privacy Mode that ensures no code is stored on any server and all requests are ephemeral. There is also an option to use your own API keys, which means your code is sent directly to the model provider under your own terms of service rather than Cursor's.

Enterprise customers can deploy Cursor with SOC 2 compliance and additional security controls. For most individual developers and small teams, the default privacy posture is acceptable — comparable to using GitHub Copilot or any cloud-based development tool. However, if you work on highly sensitive codebases (defense, healthcare with PHI, financial trading algorithms), you should carefully review Cursor's privacy documentation and consider Privacy Mode or self-hosted model options.

Pricing

Cursor offers three tiers. The Hobby plan is free and includes 2,000 code completions per month and 50 premium Chat/Composer requests. This is enough to get a real feel for the tool, but most active developers will hit the limits within a week or two.

The Pro plan at $20 per month is where most individual developers will land. It includes unlimited completions, 500 premium requests per month (using Claude or GPT-4o), and unlimited requests using faster, smaller models. For the productivity gains it provides, $20 per month is one of the best investments a developer can make. I estimate Cursor saves me 5-10 hours per week — at any reasonable hourly rate, it pays for itself many times over.

The Business plan at $40 per user per month adds centralized billing, admin controls, enforced Privacy Mode, and priority support. For engineering teams, the standardized configuration and admin features justify the premium.

Compared to GitHub Copilot ($10/month for individuals, $19/month for business), Cursor Pro is more expensive but offers significantly more capable multi-file editing and the Composer agent. If you are choosing between the two, the extra $10 per month for Cursor is worth it for the Composer feature alone.

Pros & Cons

Verdict