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What is Vibe Coding?  

Coined by Andrej Karpathy (OpenAI), vibe coding involves describing what you want to build in natural language, and AI generates the code.  
Example: Prompting an AI to create a React app that tracks daily moods with emojis—AI writes the full code.  



Five Core Principles of Vibe Coding:  

Thinking: Break down your idea into four levels:  

Logical (What is it?)  
Analytical (How does it work?)  
Computational (How to structure it in code?)  
Procedural (How to optimize it?)  

Frameworks: Guide AI by specifying tools (e.g., React, Tailwind CSS).  
Checkpoints & Version Control: Use Git/GitHub to avoid losing progress.  
Debugging: Methodically identify and fix errors with AI’s help.  
Context: Provide detailed prompts, mockups, and error logs for better results.  



Demo: Building an SEO Tag Analyzer  

Used ChatGPT to draft a Product Requirements Document (PRD).  
Built the app in Replet (beginner-friendly) and Windsurf/Cursor (advanced).  
Showed how AI generates, debugs, and refines code iteratively.  



Pro Tips for Vibe Coders:  

Start with a minimal viable product (MVP) before adding features.  
Operate in two modes: feature implementation or debugging.  
Use rules/docs to guide AI (e.g., security best practices).  
Continuously learn frameworks to better direct AI.