What you get
Achieve cleaner, more precise, and predictable AI coding outputs with significantly fewer unnecessary refactors and over-engineered solutions.
Karpathy-Inspired Claude Code Guidelines
Added 2026-07-26Optimize Claude Code behavior using core principles derived from Andrej Karpathy's observations on LLM coding pitfalls to reduce over-engineering and wrong assumptions.
This project provides a set of CLAUDE.md guidelines designed around Andrej Karpathy's coding philosophy. By enforcing four core principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—it forces the AI to clarify assumptions, avoid over-abstraction, touch only necessary code, and establish verification loops. This effectively improves AI coding accuracy while reducing unnecessary refactoring and side effects.