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Vibe Coding

Vibe coding is a modern development workflow where a human interacts conversationally with a large language model (LLM) to generate working code. Instead of meticulously crafting every line, the developer prompts the AI with natural-language intentions, receives code snippets, tests them, and iterates, often without deeply reviewing each line. Coined by Andrej Karpathy in early 2025, it's an informal, rapid‑prototyping approach: “forget that the code even exists”. Unlike standard AI-assisted coding, vibe coding leans toward accepting larger blocks of AI-generated code with minimal oversight. This method empowers non‑engineers and seasoned developers alike to spin up ideas fast, but demands careful human supervision to catch bugs, security flaws, or maintainability issues .

Summary:

Vibe coding is best suited for:

  • Rapid prototyping and weekend projects Idea exploration without deep technical investment

  • Empowering non‑coders to build simple apps

It comes with trade-offs:

  • Over-reliance risk:

    • may produce buggy, insecure, or opaque code,

  • Need for oversight:

    • Developers must understand, test, and refine AI output

  • Emerging best practices:

    • Incorporating security rules, prompt quality, and hybrid human-AI workflows improves outcomes

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