Cursor AI Explained: How the $60 Billion AI Code Editor Actually Works

A rocket company just agreed to pay sixty billion dollars for an AI coding tool. This is the full, honest explanation of what Cursor actually is, how it works under the hood, and why it became one of the most valuable tools in software — built for anyone curious, no coding background required. We go from the headline all the way down to the machinery: how Cursor reads an entire codebase it can't fit in memory, the "Tab" model that predicts your next edit, Agent mode and Composer, how to control what the AI sees, and the real case for — and against — the hype. ⏱️ CHAPTERS 0:00 The $60-billion question 2:18 The problem Cursor solves 3:25 What Cursor actually is 4:43 How it reads your whole codebase 7:23 The core trick: context on demand 8:42 Tab: predicting your next edit 12:50 Agent mode and Composer 15:31 Which model runs — and Cursor's own, Composer 18:35 The whole system, in one map 19:45 Get started in 60 seconds 21:08 Using it: Tab, Composer, and context 25:26 Beyond the editor: agents everywhere 26:50 Models, settings, and good habits 30:04 Why it beats pasting into a chatbot 31:35 How widely it's really used 33:19 Why it's worth $60 billion 35:04 The honest skeptic's case 36:41 The precise answer 📚 WHAT THIS COVERS • What Cursor is and the exact problem it solves • How it indexes and retrieves an entire codebase • Tab, Chat, Edit, Agent mode, and the Composer model • A 60-second setup and how to actually use it day to day • Why it's valued at $60B — and the honest skeptic's case 🔗 Cursor: https://cursor.com · Docs: https://cursor.com/docs Educational explainer. Not affiliated with or endorsed by Cursor / Anysphere. Product names, logos, and UI are shown under fair use for commentary and education. If this helped, subscribe for more "how AI actually works" explainers. #cursor #cursorai #aicoding #aitools #howaiworks