The Founder Beginner's Guide to Cursor
What It Changes and The Founder's Beginner Guide to Cursor
Three weeks after SpaceX signed the $60B agreement to acquire Cursor, the two companies shipped their first product together.
“Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency.”
Two numbers tell you why this matters:
$2 / $6 per million tokens (input/output), against the $10/$50 of Claude Fable 5, the current benchmark leader
Trillions of tokens of real Cursor usage in the training data. Nobody else has that dataset
But here is the real point for you. Models rotate every six weeks. The place where you work with them is consolidating and that place is Cursor: no longer a code editor but a desktop app, a web app, an iPhone app, a CLI, cloud agents, a code reviewer, and now co-author of its own frontier model. Half of the Fortune 500 pays for it.
And yet most founders still use it like an expensive autocomplete, or skip it entirely because “I’m not technical enough.”
Which means this news just made the gap bigger: the founders who operate Cursor properly are compounding every week, and everyone else is chatting with an expensive chatbot.
This guide closes that gap. Everything from zero: how to set it up, which plan to pick, how to run it next to Claude Code and Codex and the part that alone is worth the read: five founder workflows only Cursor makes possible.
So this edition is two things in one:
The News Decoded
The Founder’s Beginner Guide to Cursor
Inside you will find:
🟧 What Grok 4.5 is, and the honest benchmarks
🟧 The seven surfaces of Cursor in 2026
🟧 How to start from zero, with no code at all
🟧 Cursor vs Claude Code vs Codex and how to run them together
🟧 The full setup
🟧 The first-session script that builds trust before you build
🟧 The X-ray: what your developers actually shipped this week
🟧 Five founder workflows only Cursor makes possible
Let’s begin!
1. What Grok 4.5 Actually Is (and Why It Was Trained With Cursor)
The short version: Grok 4.5 is a mixture-of-experts model trained by SpaceXAI (the SpaceX and xAI merger entity) together with Cursor’s model team, on Colossus infrastructure, across tens of thousands of NVIDIA GB300 GPUs.
The collaboration started in April with a compute partnership. The $60B acquisition came in June, days after the SpaceX IPO.
The Benchmarks
Grok 4.5 is not the smartest model available. It is the most efficient one:
SWE Marathon (can the agent work on a project for hours without losing the thread?): 29.0%, first place. Sounds low, but nobody has ever scored higher
Terminal Bench 2.1 (can it operate a terminal on its own: run commands, install things, recover from errors?): 83.3%, tied with Claude Fable 5 (84.3%) and GPT-5.5 (83.4%)
DeepSWE 1.0 (real bugs and features from GitHub repos): 62.0%, behind Fable 5 (66.1%) and GPT-5.5 (64.3%), ahead of Opus 4.8 (55.8%)
SWE-Bench Pro (same idea, hardest problems): 64.7%, well behind Fable 5 (80.3%). On raw intelligence, Anthropic still wins clearly
The number that changes behavior is efficiency: Grok 4.5 solves a SWE-Bench Pro task in ~16,000 output tokens on average. Opus 4.8 needs 67,000. That is 4.2x fewer tokens, at 80 tokens per second, at a fraction of the price.
Where You Can Use It
SpaceXAI API: $2/$6 per million tokens, fast variant at $4/$18. If your product calls an LLM, you can test it tomorrow without installing anything
Grok Build (xAI’s CLI): it is the default model there, free for a limited time
Inside Cursor: available today on every plan, across desktop, web, iOS, CLI and SDK, with double usage for the first week. Not the default, not exclusive: Composer 2.5 stays
EU availability: expected mid-July
👇 Now let’s go ahead with the complete founder’s guide to using Cursor
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