Scores
About
Cursor is an AI-native code editor developed by Anysphere and built as a fork of Visual Studio Code. It brings AI assistance deeper into the editing experience than traditional copilot plugins, with three core interaction modes that work together across your entire codebase.
Tab completion is Cursor's most distinctive feature — it goes beyond token-level autocomplete to predict entire multi-line edits, including changes to surrounding code. It models what you're likely to do next, not just what word comes next, making it feel more like a collaborative co-pilot than a suggestion engine.
Chat gives you a conversation panel with full codebase context. You can reference files, symbols, and documentation using @-mentions, ask questions about existing code, and get explanations or refactoring suggestions without leaving the editor. Cursor automatically pulls relevant context from your project into each prompt.
Agent mode (formerly Composer) handles multi-step, multi-file tasks autonomously. Describe a feature or bug fix in natural language; the agent plans the approach, edits multiple files, runs terminal commands, and verifies the result. Cloud Agents extend this to background tasks that run without keeping your local machine on.
Cursor ships with a model switcher that lets you choose between Claude (Sonnet, Opus), OpenAI (GPT-4o, o1, o3), and Google Gemini models for different tasks. Auto mode selects the best model without drawing from your credit pool; manually selecting premium models consumes monthly credits included with paid plans.
Privacy mode is available on all plans — when enabled, no code is stored on Cursor's servers or used for training. The editor is fully compatible with VS Code extensions and settings files, making migration from VS Code nearly frictionless.
Cursor is a proprietary product; the GitHub repository hosts issues and documentation but not the full source code.
Key Features
- Next-edit Tab autocomplete that predicts multi-line changes across files
- Agent mode for autonomous multi-file coding tasks with terminal execution
- Multi-model support: Claude, GPT-4o, o1, o3, Gemini — switch per task
- Auto mode uses best model without depleting credit pool
- Codebase-aware Chat with @-mention for files, symbols, and docs
- Privacy mode: code never stored on servers or used for training
- Cloud Agents for long-running background tasks
- Drop-in VS Code replacement — extensions, themes, and keybindings carry over
Pros
- Tab autocomplete is best-in-class — predicts entire next edits, not just token completions
- Familiar VS Code interface means near-zero migration friction for existing VS Code users
- Multi-model flexibility lets you match model strength to task complexity
- Deep codebase awareness: Agent mode plans and edits across files with full project context
- Privacy mode provides meaningful data control for sensitive or proprietary codebases
- Rapid iteration cadence — Anysphere ships features aggressively and responds to community feedback
Cons
- Proprietary fork of VS Code — not open source, creating ecosystem lock-in
- Credit-based pricing (introduced June 2025) is complex; premium model usage burns credits quickly on Pro
- Pro+ and Ultra tiers are expensive for heavy users ($60–$200/month)
- Occasional context window degradation on very large monorepos
- Some VS Code extensions have compatibility issues in the Cursor fork
- Agent mode can make unintended edits and requires careful review before accepting changes
Pricing
Freemium- · Limited Agent requests
- · Limited Tab completions
- · No credit card required
- · Unlimited Tab completions
- · Extended Agent request limits
- · $20/month credit pool for premium models (Claude, GPT-4, Gemini)
- · Cloud Agents
- · Per user per month
- · Everything in Pro
- · Shared chats, commands, and rules
- · Centralized billing, usage analytics, SAML/OIDC SSO
- · Everything in Pro
- · 3× usage on all OpenAI, Claude, and Gemini models
- · Everything in Pro
- · 20× usage on all OpenAI, Claude, and Gemini models
- · Priority access to new features
- · Everything in Teams
- · Pooled usage across org
- · Invoice/PO billing, SCIM seat management
- · AI code tracking API and audit logs
Possible Stacks
Cursor + Claude + GitHub
DeveloperAn AI-native developer setup: Cursor as the IDE with Claude powering its inline suggestions and chat, and GitHub for version control. A great entry point for developers ready to work with AI as a first-class collaborator.
Cursor + Claude + GitHub + Docker
DeveloperCursor and Claude for AI-assisted coding, GitHub for version control, and Docker to keep development environments consistent and portable. The right setup when your project needs containerization from day one.
Cursor + Claude + GitHub Actions
DeveloperCursor and Claude for AI-assisted development, GitHub for version control, and GitHub Actions to automate testing and deployment on every push. A complete workflow from writing code to shipping it.
Related Tools
Works well with (3)
Integrates with (4)
Alternative to (8)
Learning Resources
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