What Cursor Does
Cursor is what happens when a team of MIT graduates — Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger, who incubated the project through OpenAI's accelerator program — decides that AI should not be bolted onto an editor as an afterthought. It should be the editor. Built by Anysphere as a fork of Visual Studio Code, Cursor preserves the familiarity that millions of developers have with VS Code while fundamentally rethinking how AI participates in the act of writing software. The result is an IDE that does not just suggest the next line of code. It understands your entire codebase, reasons across multiple files, and can execute complex refactoring tasks that would take a human developer hours to complete manually.
Migration and Composer
The migration story is one of Cursor's strongest selling points. Because it is a VS Code fork, every extension, keybinding, theme, and workspace setting transfers over without friction. Developers report completing the switch in under ten minutes. This is not a tool that asks you to abandon your muscle memory. It is one that builds on top of it. For teams already invested in the VS Code ecosystem, the switching cost is effectively zero — which is exactly why adoption has been so rapid across the industry.
The standout feature is Composer — Cursor's multi-file AI editing engine. Unlike traditional inline completions that operate on a single file, Composer reasons about relationships between files. Ask it to add authentication to your application, and it will modify your routes, create middleware, update your database schema, and adjust your frontend components in a single operation. The diff-based workflow gives you full control: every change is presented as a reviewable diff that you can accept, reject, or modify before it touches your codebase. This prompt-review-commit rhythm feels natural and is what separates Cursor from simpler autocomplete tools.
Tab Completion and Background Agents
Tab completion in Cursor deserves special mention. The proprietary model powering it achieves significantly higher acceptance rates than competing solutions. The cursor-jump feature — which predicts where you will edit next and positions your cursor there — is uncanny in its accuracy. After using Cursor's tab completions for a week, many developers report that going back to standard GitHub Copilot completions feels noticeably slower. The predictions are contextually aware, drawing on your entire project rather than just the current file.
Background agents represent Cursor's most forward-looking feature. You can launch AI coding tasks that run autonomously while you continue working on other files — essentially having a junior developer working in parallel on delegated tasks. Combined with BugBot for automated bug detection and the ability to spawn specialized subagents for testing, documentation, or refactoring, Cursor is pushing toward a future where the developer's role shifts from writing every line to reviewing and directing AI-generated work.