Cursor

Cursor is an AI code editor built around a native AI agent rather than one retrofitted on top. Its Composer feature understands your entire codebase — not just the file you have open — and can plan and execute changes across dozens of files from a single natural-language instruction. Rewriting a component, adding a feature, fixing a subtle bug: Cursor handles the reasoning, the file navigation, and the actual edits, so you go from describing what you want to reviewing working code rather than writing it line by line.

The tab-based autocomplete is trained on recent open-source code and picks up framework-specific idioms, reducing the back-and-forth of getting boilerplate right. The inline chat lets you interrogate any function or ask for explanations without leaving the editor.

For VS Code users, the transition is frictionless — Cursor imports your settings, extensions, and keybindings in one click. Most developers report feeling noticeably faster within the first week, with the biggest gains on tasks they previously dreaded: large refactors, writing tests, and navigating an unfamiliar codebase.

Cursor's docs indexing feature lets you point the editor at any documentation URL or upload internal API specs, grounding autocomplete and Composer suggestions in your actual dependencies rather than the model's training data alone. For teams working with internal SDKs, niche frameworks, or heavily customised internal tooling, this makes the difference between suggestions that compile and ones that merely look plausible.

The biggest productivity gains tend to cluster around three use cases: large refactors that previously required hours of careful, file-by-file editing; writing test coverage for existing code (Cursor generates boilerplate and understands the right assertions for the context); and onboarding to an unfamiliar codebase (the codebase chat answers architectural questions directly from your code rather than requiring you to trace every path manually).

Getting started involves downloading the editor and importing your VS Code profile — the process takes under two minutes. Cursor walks you through model selection (Claude, GPT-4, or its own hosted model) and privacy settings during onboarding. Privacy mode disables model training on your code but limits some context window features — teams with sensitive IP should review these settings before rolling out broadly.