Vibe Coding
 
Vibe Coding is an emerging, AI-driven software development paradigm coined by OpenAI co-founder Andrej Karpathy in early 2025.
It involves an intuitive, prompt-driven approach where users interact with Large Language Models (LLMs) — such as ChatGPT, Cursor, or Sonnet where by describing the software features they create natural language instead of writing traditional code themselves.
 
How Vibe Coding Works:

• The user gives a plain-language prompt describing the desired feature or tool.
• The AI generates executable code and can suggest fixes or improvements.
• The user copies, runs, and minimally debugs the code, often without deep programming knowledge.
• The process is conversational and iterative, resembling pair programming with the AI, focusing on creativity and rapid prototyping over strict code correctness.

 
Key Features and Advantages:

• Accessibility: Enables non-programmers like creatives, entrepreneurs, or students to build apps or websites without formal coding skills.
• Creativity & Experimentation: Encourages quick idea validation and iterative testing.
• Time-saving: Helps experienced developers automate repetitive tasks or draft boilerplate code quickly.
• Gateway to Learning: Sparks interest in coding by lowering entry barriers.

 
Use Cases and Limitations:

• Primarily suited for low-risk, personal, or prototype projects rather than large-scale, production-grade software.
• Generated code may contain security vulnerabilities, be inefficient, or require thorough review before deployment.
• AI code generation may lack understanding of broader project context, causing maintainability challenges

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