Cursor 2.0 in 15 Minutes (Beginner’s Guide)
🔗 Link do vídeo: https://www.youtube.com/watch?v=Nvj7ADWTS20
🆔 ID do vídeo: Nvj7ADWTS20
📅 Publicado em: 2025-11-03T15:30:13Z
📺 Canal: Build Great Products
⏱️ Duração (ISO): PT14M6S
⏱️ Duração formatada: 00:14:06
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Cursor 2.0 is here, and it might be the best and most powerful Cusor update yet, but the question I have is… did Cursor just become a vibe coding tool?
In this video I break down the new Cursor updates, walk through how to get started with Cursor and how to use the new features, and help you understand if this is a tool you should be using to build your apps, or if it's just hype.
Not only is it a big update for Cursor, but it also brings Cursor closer to vibe coding tools like Lovable and Bolt, without losing the technical foundation that Cursor is built on.
Chapters:
0:00 Introduction: Why Cursor 2.0 matters for non‑technical builders.
1:02 New agent view: browser preview and chat setup.
3:00 First build demo: React app with confetti button.
4:10 Run locally: starting dev server and localhost preview.
5:29 In‑app tools: console logs and debugging flow.
6:20 Visual edit: select element and change styles.
7:26 Workflow tip: use new agents to reset context.
8:02 Multiple models: compare Composer, GPT‑5 CodeEx, Sonnet 4.5.
9:20 Efficiency: compare code changes and pick best output.
10:21 Cycle agents: rerun prompts for alternative solutions.
11:03 Branching: git repo, worktrees, safe merging.
11:47 Big picture: Cursor shifting toward vibe‑coding workflows.
12:41 Who should use it: power for non‑technical founders.
13:36 Final thoughts: prompts, process, and picking the right tool.
Key points:
– I talk through the in-app browser Cursor now has and how to use it to see a local version of your app
– I walk through the new agent interface and how you can get multiple coding agents working at the same time
– I explain how to use visual editing in the Cursor browser to help make front-end changes to your app
– I break down how to run multiple coding models on the same task, and run multiple tasks in parallel so you can choose the best output.
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