University of Kwazulu-Natal

Vibe Coding Explained Tools And Guides Google Cloud

Bonisiwe Shabane
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vibe coding explained tools and guides google cloud

Vibe coding is an emerging software development practice that uses artificial intelligence (AI) to generate functional code from natural language prompts, accelerating development, and making app building more accessible, especially for those with limited... The term, coined by AI researcher Andrej Karpathy in early 2025, describes a workflow where the primary role shifts from writing code line-by-line to guiding an AI assistant to generate, refine, and debug an... This frees you up to think about the big picture, or the main goal of your app, while the AI handles writing the actual code. In practice, vibe coding is generally applied in two main ways: Vibe coding operates on two levels: the low-level iterative loop of refining code, and the high-level lifecycle of building and deploying a full application. This is the tight, conversational loop you use to create and perfect a specific piece of code.

Vibe coding is an emerging software development practice that uses artificial intelligence (AI) to generate functional code from natural language prompts, accelerating development, and making app building more accessible, especially for those with limited... The term, coined by AI researcher Andrej Karpathy in early 2025, describes a workflow where the primary role shifts from writing code line-by-line to guiding an AI assistant such as Gemini CLI to generate,... This frees you up to think about the big picture, or the main goal of your app, while the AI handles writing the actual code. Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. The Gemini CLI project is open source and you can view the public roadmap to learn more about functionality enhancements, upcoming features, and bug fixes. In this lab, you learn how to perform the following tasks:

This lab can be run entirely within Google Cloud Shell, which comes pre-installed with Gemini CLI. If you have checked Google AI Studio lately, you might have noticed a new buzzword floating around: “Vibe Coding.” It sounds like a meme, but it is actually a significant shift in how we prototype applications. With the release of the new Gemini 3 Pro models in November 2025, Google has rebranded their “Build Mode” into a workflow they call Vibe Coding—and for developers, it is a game changer. Here is what it is and how you can use it to build your next project in minutes. At its core, Google Vibe Coding is a natural language development workflow.

Instead of writing boilerplate code, managing dependencies, or setting up environments, you simply describe the “vibe” and functionality of the app you want. You don’t just get a snippet of code; you get a fully rendered, functional web app running in real-time. Google AI Studio’s new vibe coding interface enables users to build functional apps simply by describing what they want, instead of writing code line by line. The term vibe coding (coined by AI researcher Andrej Karpathy in 2025) refers to a workflow where the developer’s role shifts from manually coding to guiding an AI assistant in a conversational, iterative process[1]. With this approach now integrated into AI Studio, Google aims to make AI app development accessible to everyone – from seasoned coders to complete novices. In fact, Google has set an ambitious goal of having one million AI apps built on AI Studio by the end of the year, positioning vibe coding as the engine to drive that scale[2].

This launch is a major step in Google’s strategy to make creating AI-powered applications “as mainstream as building a website”[3], lowering barriers for students, entrepreneurs, and non-coders alike. In AI Studio’s Build mode, creating an application becomes an interactive conversation with the AI. You begin by describing, in natural language, the app you want to create – for example, “Build a garden planning assistant that lets me sketch a layout and then suggests plants for each area”. The AI (using Google’s Gemini model by default) interprets this high-level request and automatically generates a first version of the app, including the user interface, necessary code (frontend and backend), and even project file... From there, you can iteratively refine the application through dialogue or direct edits. If something isn’t working as intended or needs improvement, you simply tell the AI what to change (or switch to the code editor to tweak it manually), and the AI will update the code...

This prompt-generate-refine loop continues until you're satisfied with the result. Importantly, AI Studio supports both coding and no-coding approaches in tandem – non-technical users can rely entirely on natural language instructions, while developers can inspect and fine-tune the generated React/TypeScript or Python code as... Once the app looks good, deployment is just a click away: AI Studio integrates one-click publishing to Google Cloud Run, instantly hosting your app on a live URL for testing or sharing[9][10]. In summary, the vibe coding workflow in AI Studio can be viewed in a few broad steps: Throughout this process, you maintain control: you can always review the generated code, test the app’s behavior, and ensure it meets your needs before deploying. This combination of high-level ease and low-level transparency is what makes vibe coding in AI Studio powerful for both beginners and experienced developers.

Google likens it to having an AI pair programmer or co-pilot that handles the boilerplate and heavy lifting while you focus on guiding the app’s “vibe” – the idea and user experience you envision[17][18]. Google AI Studio’s vibe coding environment comes with a variety of features and UI elements that make the prompt-to-app journey smooth and intuitive. Some of the key capabilities include: Nothing illustrates AI Studio’s capabilities better than seeing a vibe coding session in action. Google’s team and early users have shared several demos that show how quickly an idea can become a working application. For example, one Googler demonstrated a “garden planning assistant” app assembled in just a few clicks: he entered that prompt and the system generated a complete app with a visual layout tool and a...

In another official demo, a fully functional chatbot (with a custom knowledge base) was built and deployed live in under 5 minutes – all via natural language instructions and feature toggles, no manual coding[34]. These rapid results underscore the productivity of vibe coding: what used to take days of programming can now happen in a coffee break. In the ever-evolving world of software development, a new term has been capturing the attention of developers and entrepreneurs alike: vibe coding. Lately, LinkedIn and other social platforms have witnessed an explosion of references to vibe coding, driven by non-technical creators who are launching projects in just days—and sometimes even hours—using powerful large language models (LLMs). This guide breaks down the concept, analyzes its potential and limitations, and ultimately helps you harness its power to build innovative AI-powered applications. Alongside modern coding practices and innovative platforms like Ardor, which champion agentic cloud development solutions, vibe coding is reshaping how we think about building software.

This guide provides real, reference-backed insights that compare vibe coding methods to traditional software development, offering detailed technical advice along with a strategic evaluation of benefits and potential pitfalls. At its core, vibe coding refers to coding with the assistance of AI. It represents the next evolutionary step from what was once known as "popcorn coding"—breaking a complex project into digestible subtasks and copying code from resources like Stack Overflow. While traditional methods required at least an entry-level understanding of technical details, vibe coding reduces that burden by letting AI do most of the heavy lifting. Definition: Vibe coding is the process of using AI (especially LLMs) to generate, debug, and iteratively improve code, enabling developers to create prototypes and MVPs with minimal manual intervention. The term gained viral momentum after an X (formerly Twitter) post by Andrej Karpathy discussed coding powered almost entirely by conversational AI outputs.

As case studies emerged—showing AI-generated interactive online games, startup launches, and wild prototypes—the notion of vibe coding quickly became a buzzworthy phenomenon.

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Vibe coding is an emerging software development practice that uses artificial intelligence (AI) to generate functional code from natural language prompts, accelerating development, and making app building more accessible, especially for those with limited... The term, coined by AI researcher Andrej Karpathy in early 2025, describes a workflow where the primary role shifts from writing code line-by...

This Lab Can Be Run Entirely Within Google Cloud Shell,

This lab can be run entirely within Google Cloud Shell, which comes pre-installed with Gemini CLI. If you have checked Google AI Studio lately, you might have noticed a new buzzword floating around: “Vibe Coding.” It sounds like a meme, but it is actually a significant shift in how we prototype applications. With the release of the new Gemini 3 Pro models in November 2025, Google has rebranded the...

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Instead of writing boilerplate code, managing dependencies, or setting up environments, you simply describe the “vibe” and functionality of the app you want. You don’t just get a snippet of code; you get a fully rendered, functional web app running in real-time. Google AI Studio’s new vibe coding interface enables users to build functional apps simply by describing what they want, instead of writi...

This Launch Is A Major Step In Google’s Strategy To

This launch is a major step in Google’s strategy to make creating AI-powered applications “as mainstream as building a website”[3], lowering barriers for students, entrepreneurs, and non-coders alike. In AI Studio’s Build mode, creating an application becomes an interactive conversation with the AI. You begin by describing, in natural language, the app you want to create – for example, “Build a ga...