Vibe Coding

Vibe Coding Latest News

Vibe coding recently became an overnight buzzword in Silicon Valley after being coined by OpenAI co-founder Andrej Karpathy.

About Vibe Coding

• Vibe coding basically refers to using generative AI not just to assist with coding but to generate the entire code for an app.
• At its core, vibe coding is about communicating with AI in natural language to build apps.
• Users ask, or prompt, Large Language Model (LLM)-based models such as ChatGPT, to produce the code for an app or service, and the AI system does all the work.
• The term was coined by Andrej Karpathy, a skilled software engineer who was head of AI at Tesla and a founding engineer at OpenAI – the maker of ChatGPT. 
• Vibe coding can help people with ideas for tools, apps, and services to make them a reality without the challenge of learning the specifics of a programming language.
• However, it can also be seen as a major security risk as it replaces experienced human coders with amateurs or untrained coders who give orders to AI chatbots instead of coding from scratch or understanding existing codebases.
  • Human project managers and coders precisely frame how the code needs to take shape in order to best serve a specific use case. 
  • But an AI code generator may not understand the larger context of what it is creating. 
  • In other words, a Gen AI tool may indeed produce the code that the user requested, but this generated code might be too slow to run, too expensive to maintain, and too long to scan regularly for security risks.

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Vibe Coding FAQs

Q1. What is the core idea of vibe coding?

Ans. Using AI to generate complete code for an app

Q2. Who coined the term “vibe coding”?

Ans. Andrej Karpathy

Q3. What type of AI models are commonly used in vibe coding?

Ans. Large Language Models (LLMs) like ChatGPT

Source: FORT