Based on AI expert Andrej Karpathy's observations of common LLM mistakes, this guide provides 4 core principles for working effectively with AI coding.
Key Developments
The four principles include: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. These principles prevent the AI from making wrong assumptions, overcomplicating code, or accidentally deleting critical code segments.
Why It Matters
Applying these principles can completely change how Vietnamese developers interact with AI. Instead of simply commanding 'write this code,' establishing success criteria and requiring the AI to consider trade-offs will help generate higher-quality, more maintainable source code and reduce the burden of human review.