#Karpathy
7 related articles
Build Your Own ChatGPT for $100: An Analysis of Karpathy's Open-Source nanochat Project
Karpathy's open-source nanochat trains a complete ChatGPT pipeline for $100, nearing 60k GitHub stars. We break down its low-cost approach, architecture, and who it's for.
Deep DivesA Deep Dive into Karpathy's AI Coding Rules: Why a 65-Line Markdown File Earned 16k Stars
Deep dive into Karpathy's four AI coding rules: Think First, Keep It Simple, Surgical Changes, Goal-Driven. A 65-line Markdown file earned 16k GitHub Stars by solving AI coding's biggest pain points.
TutorialsPractical Guide: Karpathy's Four Principles for Fixing Claude Code's Three Major Pain Points
How Karpathy's four LLM programming principles fix Claude Code's false assumptions, over-complexity, and out-of-scope modifications, with installation methods and framework comparisons.
Expert OpinionsKarpathy on Vibe Coding and Agentic Engineering: A Paradigm Shift for Programmers
Karpathy explains the paradigm shift from vibe coding to agentic engineering, how LLMs reshape programming in the Software 3.0 era, and why verifiability matters.
Expert OpinionsKarpathy on the Future of Programmers in the AI Era: Outsource Thinking, But Not Understanding
OpenAI co-founder Karpathy explains why taste, judgment, and deep understanding remain irreplaceable for programmers in the AI era, plus startup opportunities in agent-native infrastructure.
Product ReviewsAGENTS.md Coding Rules Put to the Test: Code Quality Unchanged, Development Efficiency Significantly Improved
A developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
