TL;DR: One of the most respected AI researchers in the world barely writes code anymore. Andrej Karpathy, former Tesla AI director, OpenAI founding member, the person who literally taught a generation of developers deep learning, now describes his workflow as basically just writing short prompts and reviewing results.
In this guide, I'll walk you through the 5 core habits from Karpathy's Claude Code workflow, with the exact prompts so you can follow along on your own project.
Prompting: Keep instructions short, define the outcome, and avoid conflicting requirements.
AI Agents: Delegate independent tasks to Sonnet sub-agents and review the combined results.
Automation: Build reusable tools to check data and handle repetitive work.
Table of Contents
Introduction
One of the world's most respected AI engineers barely writes code anymore. I'm not joking.
Andrej Karpathy, former Tesla AI director and OpenAI founding member, now describes his coding workflow as writing short prompts, letting AI do the heavy lifting, and reviewing the results.
Someone who helped shape modern AI is changing the way he builds software. What exactly does he do differently? Well, that's what we're going to break down.
I'll show you how Karpathy actually uses Claude Code, including his setup, prompting techniques, workflow, and the little tricks that make AI do more of the work.
More importantly, I'll walk you through it step by step, so you can copy his approach and apply it to your own projects.
Step 1: Set Up The Core Claude Code Workflow
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