Cursor AI

Cursor is an AI code editor forked from Visual Studio Code that embeds large language model capabilities throughout the development workflow. Unlike standard editors with line-level autocomplete, Cursor indexes the entire project codebase and uses that context to generate suggestions that reflect existing patterns, imported dependencies, and file relationships across the full repository. Developers can issue natural language instructions through a chat panel to generate new code, refactor existing functions, explain unfamiliar logic, or apply coordinated edits across multiple files using the Composer feature. Cursor is used by software developers across experience levels, from students writing their first applications to professional engineers working on production-scale systems. A common workflow involves opening the Composer panel to describe a feature in plain language and having Cursor generate an implementation for review, then applying edits directly to the codebase. Teams use the inline chat to ask questions about unfamiliar codebases during onboarding, or to request targeted refactors without manually rewriting code. See related. Cursor supports a broad range of programming languages including Python, JavaScript, TypeScript, Rust, Go, and others, and is compatible with most existing VS Code extensions and keybindings. Cursor's primary advantage over standard editors is its project-level context awareness, which makes AI assistance considerably more relevant for real development work compared to tools limited to single-file context. The free Hobby tier provides a monthly allocation of AI completions and premium model requests. The Pro plan, priced at $20 per month, increases request limits and unlocks faster model access. A Business plan at $40 per user per month adds team management features and enhanced privacy controls. A practical limitation is that cloud-based inference raises data privacy considerations for teams working on confidential or proprietary codebases, and the free tier's request limits can be reached quickly in active development sessions Compare alternatives.