Vibe Coding

Extracted Attributes

• Type

  Artificial intelligence-assisted software development methodology

• Purpose

  Rapidly build prototypes by providing goals, examples, and feedback through natural language.

• Benefits

  Empowers novice programmers; lowers barrier to entry for software development; democratizes software creation; contributes to a 'New Collar Boom'.

• Comparison

  Differs from traditional programming by shifting from manual coding to guiding, testing, and providing feedback on AI-generated code.

• Criticisms

  Lack of accountability; increased risk of security vulnerabilities.

• Interaction Model

  Developer uses natural language prompts to instruct AI tools to generate, refine, and debug code.

• Key Characteristics

  Fast, improvisational, collaborative approach; human developer and coding-tuned LLM work in conversational loop; emphasizes creative flow, minimal micromanagement, accepting AI suggestions, iterative experimentation over strict correctness.

Timeline

• The term 'vibe coding' was introduced by Andrej Karpathy. (Source: Summary, Wikipedia, Web Search)

  2025-02

• The term 'vibe coding' was recognized as a trending slang term by Merriam-Webster. (Source: Summary, Wikipedia, Web Search)

  2025-03-08

Vibe coding

Vibe coding is an artificial intelligence-assisted software development style popularized by Andrej Karpathy in early 2025. It describes a fast, improvisational, collaborative approach to creating software where the developer and a large language model (LLM) tuned for coding are acting rather like pair programmers in a conversational loop. Unlike traditional AI-assisted coding or prompt engineering, vibe coding emphasizes staying in a creative flow: the human developer avoids micromanaging the code, accepts AI-suggested completions liberally, and focuses more on iterative experimentation than code correctness or structure. Karpathy described it as "fully giving in to the vibes, embracing exponentials, and forgetting that the code even exists." He used the method to build prototypes like MenuGen, letting LLMs generate all code, while he provided goals, examples, and feedback via natural language instructions. The programmer shifts from manual coding to guiding, testing, and giving feedback about the AI-generated source code. Advocates of vibe coding say that it allows even amateur programmers to produce software without the extensive training and skills required for software engineering. Critics point out a lack of accountability and increased risk of introducing security vulnerabilities in the resulting software. The term was introduced by Andrej Karpathy in February 2025 and listed in the Merriam-Webster Dictionary the following month as a "slang & trending" term.

Web Search Results

• Vibe coding - Wikipedia

  Vibe coding is an artificial intelligence-assisted software development style popularized by Andrej Karpathy in early 2025. It describes a fast, improvisational, collaborative approach to creating software where the developer and a large language model (LLM) tuned for coding are acting rather like pair programmers in a conversational loop. Unlike traditional AI-assisted coding or prompt engineering, vibe coding emphasizes staying in a creative flow: the human developer avoids micromanaging the [...] 7. ^ "vibe coding". Slang & Trending. Merriam-Webster. March 8, 2025. Retrieved 2025-06-02. Vibe coding (also written as vibecoding) (Vibecode/Vibecoder) is a recently-coined term for the practice of writing code, making web pages, or creating apps, by just telling an AI program what you want, and letting it create the product for you. In vibe coding the coder does not need to understand how or why the code works, and often will have to accept that a certain number of bugs and glitches will be [...] Computer scientist Andrej Karpathy, a co-founder of OpenAI and former AI leader at Tesla, introduced the term vibe coding in February 2025. The concept refers to a coding approach that relies on LLMs, allowing programmers to generate working code by providing natural language descriptions rather than manually writing it.

• What is vibe coding and how does it work? - Google Cloud

  Vibe coding is an emerging approach to software development heavily reliant on artificial intelligence (AI). Coined by AI researcher Andrej Karpathy in early 2025, it describes a process where developers primarily use natural language prompts—speaking or typing in plain language—to instruct AI tools to generate, refine, and debug code. The core idea allows users to focus on describing what they want the software to do (the "vibe" or intent), letting the AI handle much of the how (the actual [...] Vibe coding versus traditional programming ------------------------------------------ Traditional programming requires developers to write code manually, which can be time-consuming and requires a deep understanding of programming languages and syntax. Vibe coding offers an alternative approach where the interaction model shifts. Here’s a comparison: [...] Vibe coding can offer several advantages, particularly for users who may be less experienced software developers. ### ### Increased accessibility Similar to low-coding and no-coding, vibe coding lowers the barrier to entry for software development. Those without formal training in programming may now be able to participate in creating and customizing software solutions. This democratization of development can lead to a broader range of perspectives and innovations in the field.

• Vibe Coding 101 with Replit - DeepLearning.AI

  Coding agents are changing how we write code. “Vibe coding” is a growing practice where you lean into letting a coding agent do most of the heavy lifting while you focus on the architecture and features of your application. But effective vibe coding isn’t just about one-shot prompting, accepting all recommendations, and hoping for the best. It involves structuring your work, refining your prompts, and using frameworks that lead to cleaner, more efficient code.

• What is Vibe Coding? How To Vibe Your App to Life - Replit Blog

  Vibe coding at its core is the ability to write code and build apps almost entirely with AI. Replit is a platform that allows you to vibe code while providing useful services that make app development easier. As AI continues to improve, you'll be able to build even more sophisticated apps with less effort. Vibe coding isn't about replacing developers—it's about giving everyone the power to create. The ideal approach varies based on your goals: [...] Ready to bring your idea to life? Create a Replit App and start a conversation with Agent. Describe your app idea in natural language and watch as it builds a working prototype in minutes. Whether you're a designer with an app concept, an entrepreneur with a business idea, or anyone with a problem to solve, vibe coding on Replit is your fastest path from imagination to implementation. Get started Image 5: Replit logo Follow @Replit []( More [...] Where other vibe coding apps fall short --------------------------------------- Despite the promise of AI-powered development, most platforms still present significant challenges. While vibe coding makes it easier to write code with AI, building apps remains complex. The real difficulties often lie in the overall development experience:

• Vibe coding 101: from idea to deployed app - Replit Docs

  Potential Next Steps for the Park Mapper App: Vibe coding is about iterating, experimenting, and guiding AI to bring your ideas to life. Don’t be afraid of errors; they are part of the process! Was this page helpful? [...] Vibe coding is less about writing every line of code and more about guiding AI tools with your vision and domain knowledge. It’s an iterative process of prompting, reviewing, and refining. Key takeaways from the video: ​Project: San Francisco parks map The goal is to build an interactive map displaying parks and public spaces in San Francisco. [...] This tutorial walks you through the “vibe coding” process on Replit—taking an idea from concept to a fully deployed application. This tutorial will build an interactive map visualization of San Francisco parks, pulling in external data and using modern frameworks. You’ll see how to leverage Replit Agent for initial development and Replit Assistant for refinements and debugging. ​The vibe coding philosophy