Cursor
The AI-native IDE built for working across your whole codebase.
The most capable AI IDE available — Composer and Tab set the bar for codebase-aware editing — but it's VS Code-only and its usage allowance needs managing.
Quick verdict
Cursor is a full AI-native IDE, forked from VS Code, that rebuilds the editing experience around AI instead of bolting it on. Its Composer multi-file agent and predictive Tab autocomplete are the most polished in the category, and its full-repository indexing gives it the deepest codebase context of any mainstream tool. For professional developers doing frequent large refactors and agentic work, it's the most capable option available. The catch is lock-in: it's VS Code-only — no JetBrains or Vim — and its model-usage allowance needs managing for heavy users.
Pros and cons
Pros
- Best-in-class codebase context — understands and edits across your whole project
- Composer multi-file editing is the most polished in the category
- Tab autocomplete is fast and consistently anticipates multi-line changes
- As a VS Code fork, migration from VS Code is nearly frictionless
Cons
- VS Code-only — no JetBrains, Vim, or Emacs support
- Model-usage allowance on Pro can run out for heavy users of expensive models
- Can lag or slow down on very large codebases
- Privacy Mode must be explicitly enabled on individual plans to prevent data use
What Cursor does well
Composer — multi-file editing that actually understands your project
Composer is Cursor's headline feature and the clearest reason to choose it over an editor plugin. You describe a change in plain language, and Composer plans and applies coordinated edits across many files at once.
A concrete example: a developer needs to add a currency field to an Order model. In Copilot, they'd accept file-by-file suggestions and manually walk the codebase to find every call site. In Cursor, they tell Composer "add a required currency field to Order, default USD, and update everywhere it's used." Composer edits the model, updates the database migration, adjusts the serializer, patches the call sites, and modifies the affected tests — as one reviewable change set. The developer reviews and refines rather than hunting and typing. On large refactors, this is a categorical improvement over line-by-line completion.
Tab autocomplete that predicts your next move
Cursor's Tab is more than autocomplete — it predicts the next edit you're likely to make, often several lines ahead, including changes in a different part of the file than where your cursor is. Rename a variable, and Tab offers to update the other references. Change a function's return shape, and Tab proposes the matching adjustment at the call site below. It consistently ranks at the top of independent benchmarks for completion speed and accuracy, and on Pro it's fast and unlimited. For flow-state coding, this is where Cursor earns its keep day to day.
Full-repository context
Cursor semantically indexes your entire repository, so when you ask a question or request a change, the AI can draw on code anywhere in the project — not just the open file. Ask "where do we validate uploaded files?" and it can point to the actual implementation across the codebase. This whole-project awareness is what makes Composer's multi-file edits accurate, and it's a meaningful step beyond tools that only see the current file and a few open tabs.
What Cursor doesn't do well
VS Code-only — a hard wall for many teams
Cursor is a VS Code fork, which is a strength for migration and a wall for everyone else. Developers on JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, Rider), Vim, or Emacs cannot use Cursor without abandoning their editor entirely and adopting Cursor's. For established Java, Kotlin, or .NET teams whose entire tooling and muscle memory live in JetBrains, that's usually a non-starter. This is the single biggest reason a team might standardize on GitHub Copilot instead — Copilot meets developers in whatever editor they already use.
Model-usage allowance needs managing
Pro includes a monthly model-usage allowance, and developers who lean on the most expensive frontier models for every task can consume it faster than expected. It doesn't affect Tab autocomplete, which stays fast and unlimited, but heavy Composer and agent users on the priciest models may need to watch their consumption or top up. It's a manageable wrinkle, not a dealbreaker — but it means Pro isn't strictly "unlimited" the way the marketing feel implies.
Performance on very large codebases
The full-repository indexing that gives Cursor its context advantage also has a cost: on very large monorepos, indexing and the surrounding UI can lag or occasionally freeze. Cursor is usable on big projects, but developers in the largest codebases sometimes find a terminal-native agent like Claude Code handles the scale more gracefully. For most projects this never surfaces — it's specifically a concern at the extreme end of repository size.
Pricing breakdown
Hobby
- Limited agent requests
- Limited Tab completions
- Full VS Code extension compatibility
Pro
- Unlimited fast Tab completions
- Monthly model-usage allowance
- Composer multi-file editing
- Background agents
Business
- Centralized team billing and admin
- Usage analytics
- SOC 2 compliance
- No training on your code by default
The free Hobby tier is enough to evaluate Cursor but not to work in it seriously. Pro at $20/month is the plan almost everyone should use — unlimited fast Tab plus Composer and background agents. Business at $40/user/month is the right choice for teams handling proprietary code: it adds SOC 2 compliance, centralized admin, and a no-training-by-default posture without needing each engineer to remember to enable Privacy Mode.
Who it's for
Best for
- Professional developers who want the most capable AI IDE available
- Engineers doing frequent large-codebase refactors and agentic workflows
- VS Code users who want a near-zero-friction upgrade to an AI-native editor
Not for
- JetBrains, Vim, or Emacs users — Cursor has no support for these
- Teams that need one AI tool spanning mixed editors across the org
Cursor is the right choice for:
- Professional developers who want the single most capable AI IDE available
- Engineers doing frequent large-codebase refactors and agentic workflows
- VS Code users who want a near-frictionless upgrade to an AI-native editor
Who it's not for
JetBrains, Vim, and Emacs users can't adopt Cursor without switching editors entirely — Copilot is the better fit for them. Teams that need one AI tool spanning mixed editors across the org will also find Cursor's VS Code-only nature limiting.
Alternatives
GitHub Copilot trades Cursor's depth for reach — it runs in every major IDE, including JetBrains and Vim, and integrates with GitHub's PR and issue workflows. It's the better org-wide default for teams with mixed editors. See our GitHub Copilot review.
Windsurf offers a very similar AI-native IDE experience with a more generous free tier and a lower Pro price, built around its Cascade agent. It's the value alternative for developers who want dedicated-IDE agentic flows without Cursor's usage-allowance management. See our Windsurf review.
Claude Code is the terminal-native counterpart — no IDE lock-in, a very large context window, and strong architectural reasoning that scales more gracefully to the largest codebases. Many developers pair it with Cursor rather than choosing between them. See our Claude Code review.
For a full comparison of AI tools for software engineers, see our best AI tools for developers guide.
The verdict
Cursor earns a 4.6 rating as the most capable AI IDE currently available. Composer's multi-file editing, Tab's predictive autocomplete, and full-repository context together deliver a genuinely better experience for large refactors and agentic work than any editor plugin. For professional developers on VS Code, it's the strongest single tool you can adopt.
What holds it back from a perfect score is scope and lock-in. VS Code-only support excludes a large share of professional developers outright, the model-usage allowance needs managing for power users, and the largest codebases can strain its indexing. For developers it fits, though, Cursor is the daily-driver AI IDE to beat.
Try Cursor FreeFAQ
Frequently asked questions
- Is Cursor free?
- Cursor has a free Hobby tier with a limited number of agent requests and Tab completions, plus full VS Code extension compatibility. It's enough to evaluate the tool but not to use it heavily. The $20/month Pro plan unlocks unlimited fast Tab completions, a monthly model-usage allowance, Composer multi-file editing, and background agents. Business is $40/user/month with SOC 2 compliance and centralized admin.
- Does Cursor train on my code?
- On the Business tier, Cursor does not train on your code by default and a data-processing agreement is available. On individual plans, you must explicitly enable Privacy Mode to guarantee your code isn't used for model improvement — it isn't on by default. The underlying model providers (Anthropic, OpenAI, Google) act as sub-processors, so with Privacy Mode enabled your code is used only to generate responses, not to train models.
- Does Cursor work with JetBrains or Vim?
- No. Cursor is a fork of VS Code, so it only works as its own standalone editor with VS Code extension compatibility. There is no JetBrains, IntelliJ, PyCharm, Vim, or Emacs support. This is the single biggest limitation for teams on those editors — they would need to switch to Cursor's editor entirely, which is often a non-starter for established Java or .NET shops. GitHub Copilot is the alternative that supports those IDEs.
- What is Cursor's Composer?
- Composer is Cursor's multi-file editing agent. You describe a change in natural language, and Composer plans and applies coordinated edits across many files in your project at once — adding a field to a model, updating every call site, and adjusting the tests, for example. It's the most polished multi-file editing experience in the category and the main reason developers doing large refactors prefer Cursor over an editor plugin like Copilot.
- How does Cursor compare to GitHub Copilot?
- Cursor wins on depth: its full-repository indexing, Composer multi-file editing, and Tab autocomplete are more codebase-aware than Copilot's equivalents, which makes it stronger for large refactors and agentic work. Copilot wins on reach: it runs in every major IDE (including JetBrains and Vim) and integrates deeply with GitHub's PR and issue workflows. Many teams use Copilot org-wide and add Cursor for heavy agentic sessions.
- Does Cursor slow down on large codebases?
- It can. Cursor indexes your entire repository to provide codebase-aware context, and on very large monorepos this indexing and the accompanying UI can lag or occasionally freeze. It's usable on large projects, but developers working in massive codebases sometimes report performance dips that don't occur in lighter editors. A terminal-native agent like Claude Code can be a better fit for the largest codebases.
- Is Cursor's $20 Pro plan enough for daily use?
- For most developers doing a normal mix of Tab completions and moderate agent use, yes. The friction appears if you lean heavily on the most expensive models (like frontier reasoning models) for every task — the monthly usage allowance is consumed faster, and heavy users may need to monitor consumption or top up. Tab autocomplete remains fast and unlimited on Pro regardless, so everyday completion-driven coding rarely hits the limit.
