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Cursor

Best overall for flow and speed

Cursor is an AI-native code editor built as a fork of VS Code, designed from the ground up for AI-powered development. Its standout feature is Composer, an agentic system that can edit multiple files simultaneously while maintaining context across your entire project. Cursor runs up to 8 agents in parallel, each working in isolated git worktrees to prevent conflicts and enable safe experimentation. The editor includes 10+ specialized tools including semantic search that understands code meaning, file read/write operations, terminal execution, and even browser automation for testing. Users can perform multi-file refactoring across 12+ files in a single operation, with the AI understanding dependencies and impacts across the codebase. Cursor supports multiple AI models including Claude 4.5 Sonnet, GPT-4o, and custom models, allowing developers to choose the best model for each task. The editor maintains VS Code compatibility, so all your favorite extensions work seamlessly while adding powerful AI capabilities on top.

AI Models

Claude 4.5 SonnetGPT-4oCustom models

Key Features

  • Composer agent for multi-file editing with full project context
  • Up to 8 parallel agents in isolated git worktrees
  • 10+ specialized tools: semantic search, file operations, terminal, browser
  • Multi-file refactoring across 12+ files in single operation
  • Full VS Code compatibility with extensions support
  • Semantic code search understanding meaning, not just text
  • Terminal execution and automation within editor
  • Model selection per task for optimal results

Integrations

VS Code extensionsGitTerminalBrowser automation

Pricing

Free$0/month

Basic AI completions and chat

Pro$20/month

Unlimited completions, Composer, priority model access

Pro+$60/month

Advanced models, more parallel agents, priority support

Ultra$200/month

Maximum parallel agents, all models, dedicated support

Pros & Cons

Pros

  • Fastest multi-file editing with parallel agents
  • VS Code compatibility means zero learning curve
  • Isolated worktrees prevent conflicts during experimentation

Cons

  • Premium tiers required for advanced features
  • Resource-intensive with multiple agents running
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