[ENG VER] What is Vibe Coding? Coding with AI to Create Any App

Assalamu‘alaikum wr. wb.

Hello everyone! Amidst the AI ​​Boom, many Programmers are already leveraging AI like ChatGPT to Create Applications without Coding from Scratch. This is what's now called Vibe Coding. This time, we'll discuss what Vibe Coding is.

Article Sources : Datacamp.com (Blog), Pcmag.com, Alitu.com, Content.Techgig.com, Blog.Replit.com, Blankslatedigital.co.uk (Blog), and Kaptentekno.com

In the realm of programming, a new term called Vibe Coding has begun to attract attention from developers and technology professionals. This concept refers to the use of Artificial Intelligence (AI) to write code based on natural human language commands.

Vibe Coding is transforming the way software is developed and learned. It’s an exciting approach that focuses on making coding more interactive, creative, and enjoyable. If you’re someone who enjoys being creative while coding, this might just be the perfect way for you to dive into the world of programming.

With this method, anyone can create software even without a technical background in programming. However, the question remains, and will Vibe Coding become a breakthrough for the future or just a temporary trend? Let’s explore this further.

A. Definition of Vibe Coding

Vibe Coding is a method of software creation where you simply explain to an AI, in everyday language, what you want the program to do, and the AI generates the code for you. Rather than manually writing each line, you outline the desired features or the problem to solve, while the AI manages the technical execution.

The phrase “vibe coding” first appeared in a February 2025 Tweet by OpenAI cofounder Andrej Karpathy. In his post, Karpathy described it as “a new style of programming where you completely follow the vibes, lean into exponential progress, and stop thinking about the code itself.” He explained that this approach has become possible because large language models have become exceptionally advanced.

There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper so I barely even touch the keyboard. I ask for the dumbest things like "decrease the padding on the sidebar by half" because I'm too lazy to find it. I "Accept All" always, I don't read the diffs anymore. When I get error messages I just copy paste them in with no comment, usually that fixes it. The code grows beyond my usual comprehension, I'd have to really read through it for a while. Sometimes the LLMs can't fix a bug so I just work around it or ask for random changes until it goes away. It's not too bad for throwaway weekend projects, but still quite amusing. I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.

There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper…

— Andrej Karpathy (@karpathy) February 2, 2025

At its essence, Vibe Coding transforms Programming into a conversation with AI. You focus on describing your app’s goals, functions, and user experience, while the AI takes care of building it behind the scenes. This approach lets you act more like a project director than a traditional coder, emphasizing vision and design over syntax and structure.

B. The Difference Between Vibe Coding and Traditional Coding

To understand why Vibe Coding is important, let's briefly compare it to Traditional Approaches to Software Development :

1. Traditional Coding

• Required Skills : Programming language, framework, debugging
• Development Process : Writing code line by Line, Debugging, and Testing
• Learning/Building Time : Weeks or months to learn, days or weeks to build
• Flexibility : Unlimited (can build anything)
• Relationship with Code : Direct manipulation of all code

2. Low-Code Platforms

• Required Skills : Basic understanding of programming concepts
• Development Process : Drag-and-drop components, set configurations
• Learning/Building Time : Hours or days to learn, a few days to build
• Flexibility : Limited by platform capabilities
• Relationship with Code : Abstracted, rarely see code directly

3. Vibe Coding

• Required Skills : Natural language communication skills
• Development Process : Explain what you want, repeat it through conversation
• Learning/Building Time : Minutes to Learn, a few hours to build
• Flexibility : Extensive, but there are limitations in terms of complexity
• Relationship with Code : Code exists, but you probably never read it

C. The Importance of Vibe Coding

For decades, turning an idea into an application required technical expertise or hiring a developer. This created a major barrier between those who had ideas and those who could bring them to life.

According to recent statistics, 82% of businesses report a shortage of developer talent, while the backlog of development work continues to grow. As a result, the democratization of application development has become a critical business necessity rather than just an added convenience.

The growth of AI capabilities has been extraordinary. Roughly every seven months, the number of tasks AI can perform autonomously doubles.

The Long Curve of AI Tasks that can be done Every 7 Months (2020-2024)

We’ve evolved rapidly, from simple autocompletion tools to AI capable of generating functions, then writing full features, and now we’ve reached a point where AI agents can build entire applications with minimal human input.

D. Advantages and Disadvantages of Vibe Coding

Let's break down the main Pros and Cons of Vibe Coding.

1. Advantages (Pros)

a. Accessibility

Vibe coding makes software creation far more accessible to people without technical expertise. By simply describing what they need in plain, natural language, individuals such as entrepreneurs, designers, and professionals from various fields can now participate in building applications — something that was once limited to programmers.

b. Rapid Prototyping

One of the greatest advantages of vibe coding is the speed at which users can develop early-stage app versions, known as prototypes or MVPs (Minimum Viable Products). What used to take days or even weeks can now be done within a few hours — transforming an idea into a functional demo. This capability is particularly beneficial for startups and creators who need to test concepts quickly and collect feedback before committing significant resources.

c. Efficiency

Vibe coding automates many of the tedious and repetitive aspects of programming — such as setting up project files, managing basic data operations, and writing boilerplate code. By delegating these routine tasks to AI, developers and creators can focus more on design thinking, problem-solving, and improving user experience.

d. Innovation

With vibe coding, experimentation becomes much easier since users don’t need to worry as much about complex technical details. This freedom enables faster idea testing, creative feature building, and innovative problem-solving — all without large investments of time or money. The AI’s instant feedback further accelerates creativity and keeps innovation flowing.

2. Disadvantages (Cons)

a. Code Quality Concerns

While AI-generated code often functions correctly at first, it can contain hidden flaws. Such code might be inefficient, difficult to read, or hard to maintain — particularly for users without a strong technical background. Over time, this can cause applications to become disorganized, leading to more significant issues as the project grows or evolves.

b. Security Risks

Security remains one of the biggest challenges in AI-assisted coding. AI tools sometimes overlook crucial safety measures, such as validating user input or properly handling errors. If developers deploy code without a thorough review, they risk exposing their apps to hacking attempts, data breaches, or even legal complications. Without human oversight, these vulnerabilities can easily make their way into production systems.

c. Overreliance on AI

Another concern is that users may become overly dependent on AI and fail to develop their own programming skills. When problems arise, they might find it difficult to troubleshoot or modify the code because they don’t fully understand how it works. This dependency can be particularly risky in professional environments where in-depth system knowledge is essential for long-term maintenance and stability.

d. Limited Customization

Although AI performs well on standard or repetitive tasks, it often struggles with complex, highly specific, or unconventional requirements. In such cases, the generated code might be incomplete, overly generic, or missing key logic. As projects scale and complexity increases, manual intervention becomes necessary to ensure everything functions as intended.

For now, vibe coding is best suited for creating small-scale applications or rapid prototypes rather than managing large, mission-critical systems.

E. How to Start Vibe Coding

Getting started with the coding vibe is easier than you might think. Having some technical knowledge certainly helps, but the beauty of AI is that it makes all the information accessible to anyone. Even if you have no idea what HTML is, by learning to use these tools and daring to dive in, you'll be surprised how quickly you can grasp and master them.

1. Select the tool that fits your needs

Start by choosing an AI coding assistant or platform that matches your goals. Beginners who want a straightforward, low-friction experience may prefer tools like Lovable. For building and deploying full-stack applications, platforms such as Replit or Cursor are often more suitable. It’s perfectly fine to experiment with several tools—many offer free plans or trial access. When deciding, think about supported programming languages, user-friendliness, and whether you prefer a cloud-based environment or a local IDE extension.

2. Prepare your workflow

After selecting a tool, configure your development setup. This may involve installing an extension in VS Code (for example, GitHub Copilot or Cursor) or creating an account on a web-based platform like Replit. Make sure you have any required API keys or access credentials ready. The key objective is seamless access to the AI while you work—either through an in-editor assistant or a dedicated browser interface such as ChatGPT.

3. Explain your Idea clearly (Prompting)

Next, describe what you want to build. Create a new file or project and write a natural-language prompt that explains the application or feature in detail. The more precise your description, the better the AI’s output will be. For example :

“Create a modern, user-friendly QR code generator WordPress Plugin with the following features: users can input a URL, click a button to generate a QR code instantly, and then customise the QR code colour and background colour. Users should also have the option to copy the generated QR code to the clipboard, or download it as a PNG or SVG file. The interface should be clean, intuitive, and visually appealing, using dark blue and white as the primary colours. Ensure responsiveness across devices.”

Well-structured prompts—sometimes written as bullet points outlining features and UI elements—help the AI understand your expectations more accurately.

4. Test and review the generated code

Once the AI produces the code, run it or deploy it, depending on your platform. Think of this output as a first draft. Check whether the core features function properly and confirm there are no major errors. Even if you don’t fully understand the code, interacting with the app or script is essential. This stage acts as quality assurance for the AI’s initial solution.

5. Refine through Conversation

The first version is rarely final. This is where vibe coding excels—by improving the project through ongoing dialogue with the AI. You can request enhancements, design changes, or bug fixes. For example, you might ask for a transparent background option or visual tweaks that better match your brand.

The AI will update the code accordingly, and you can repeat this process as many times as needed. Each iteration is fast, helping you stay in a creative rhythm without writing everything manually. It’s similar to shaping software through continuous feedback.

6. Deploy or Integrate the final result

When the project meets your expectations, deploy it or integrate it into a larger system. Online platforms may already provide a shareable live link, while local projects can be hosted on a server or shared via a repository. At this point, it’s wise to store the final code in a version control system such as Git. Even though AI handles much of the coding, the resulting code remains important for future updates and collaboration.

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That concludes our discussion on Vibe Coding. Coding with AI is fine, as long as you don't overdo it and avoid harming anyone.

Thank you 😄😘👌👍 :)

Wassalamu‘alaikum wr. wb.