Cursor
FreemiumThe best way to code with AI.
An AI-first code editor built on VS Code that uses agents, multi-file editing, and frontier models to help developers write, refactor, and ship code faster.
What is it
Cursor is an AI-native code editor built as a fork of VS Code, trusted by over half of the Fortune 500. It deeply integrates frontier large language models directly into the IDE, providing context-aware assistance that goes beyond traditional plugins through autonomous agents, multi-file Composer editing, and a specialized Tab completion model.
What it can do
Cursor understands your entire codebase, lets you chat with your files in natural language, and generates multi-file changes from prompts. Its agents work autonomously to build, test, and demo features end to end. Composer 2.5 handles complex refactoring across projects, while Bugbot detects issues before merge. It supports models from OpenAI, Anthropic, Gemini, xAI, and Cursor's own models.
Who is it for
It is the tool of choice for modern software engineers, development teams, and organizations who want to maximize productivity, navigate complex codebases faster, and leverage agentic AI to build software with unprecedented speed and accuracy.
Key Features
AI Coding Agents – Autonomous Development
Hand off tasks to Cursor agents that work autonomously on their own computers to build, test, and demo features end to end. Agents run in parallel in your terminal, Slack, and GitHub—accelerating development while you focus on making architectural decisions.
Composer 2.5 – Multi-File Code Generation
Generate and edit code across multiple files simultaneously using Cursor's own model trained specifically for agentic coding. Handle complex refactoring and feature additions that span your entire project from high-level natural language instructions.
Tab Completions – Magically Accurate Autocomplete
A specialized Tab model predicts your next action with striking speed and precision. It understands your project's unique APIs, naming conventions, and patterns—providing relevant suggestions that fit perfectly into your existing architecture without drawing from your credit pool on paid plans.
Codebase Deep Understanding – Complete Context
Cursor indexes and learns how your entire codebase works regardless of scale or complexity. Ask questions about project structure, trace dependencies across files, and find specific functions with professional speed and accuracy.
Use Cases
Building New Features from Natural Language
Developers describe features in plain English and Cursor agents generate the implementation across multiple files, write tests, and verify the result—compressing hours of manual coding into minutes and enabling rapid iteration.
Navigating and Understanding Large Codebases
Engineers joining new projects use codebase chat to trace dependencies, understand architecture, and find relevant functions across thousands of files. This reduces onboarding time from weeks to days and makes legacy systems approachable.
Refactoring Legacy Code Across Multiple Files
Teams use Composer to refactor sprawling legacy systems. Cursor analyzes patterns, suggests cleaner implementations, and applies changes across the entire codebase while maintaining functionality—handling changes too large for manual refactoring.
Detecting and Fixing Bugs Before Code Review
Developers rely on Bugbot to catch issues before they reach code review. The AI identifies bugs, explains root causes, and suggests or applies fixes—reducing debugging time and improving overall code quality.
Pricing plans
Frequently Asked Questions
Discussion
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