The Rise of Vibe Coding

In 2026, an interesting phenomenon emerged in the programming community: more people began writing code through “chatting”. You no longer need to memorize syntax, check documentation, or even understand underlying principles—just tell the AI what you want in natural language, and it can help you write the code. Andrej Karpathy named this development approach Vibe Coding.

This is not science fiction; it is happening now.

What is Vibe Coding?

A Scenario

Imagine this scene: you open Cursor or Windsurf and say to the editor, “Help me write a Todo List application that supports CRUD operations using React + TypeScript.” Seconds later, a complete project appears before you. The components are split, styles are written, and state management is configured. You run it, and it works.

This is the essence of Vibe Coding: describing your intent in natural language and letting AI implement it. You don’t start from scratch typing every line of code; instead, you act like a “director” guiding the AI.

Origin of the Term

In early 2025, Andrej Karpathy, former AI director at Tesla and a founding member of OpenAI, shared his coding method on social media: he wrote code almost entirely through conversations with AI, throwing error messages at AI to fix them, focusing on the results rather than the code itself. He called this method Vibe Coding—following the feeling, where correctness of the code is less important than the final outcome. This concept quickly spread in the developer community and by 2026 had transformed from a “novel approach” to a widely accepted development paradigm.

Why Vibe Coding is Gaining Popularity

Maturity of AI Programming Tools

The underlying reason for the rise of Vibe Coding is the qualitative leap in AI programming tools:

These tools share a common trait: they no longer just “complete the next line of code”; they can understand your intent, modify across files, and even debug automatically. As AI’s capabilities upgrade from “typist” to “junior engineer,” Vibe Coding naturally takes shape.

Redefining Programming Barriers

Previously, learning to code required weeks just to grasp the syntax. Now? You only need three skills:

1. Clearly express what you want—this is much simpler than writing code.
2. Understand what the code is generally doing—you don’t need to understand every line, but you should know the overall logic.
3. Judge whether the result is correct—run it and see if it achieves what you want.

This means that a product manager, a designer, or even someone with no technical background can potentially turn their ideas into runnable products through Vibe Coding.

The Actual Workflow of Vibe Coding

Typical Vibe Coding Process

Describe requirements → AI generates code → Run tests → Identify issues → Feed errors back to AI → AI fixes → Repeat

Throughout this process, the developer’s main tasks are:

• Describe requirements and modification suggestions in natural language.
• Run the code and observe results.
• Provide error messages to AI.
• Make decisions at key points (which solution to choose, how to prioritize).

A Real Example

Suppose you want to create a “Markdown Previewer”; the Vibe Coding process might look like this:

You: “Help me write an Electron desktop application with a Markdown editor on the left and real-time preview on the right. It should support GitHub-style Markdown and have a clean, modern interface.”

AI: Generates project structure, main process code, rendering process code, and style files.

You: “It runs, but the code blocks don’t have syntax highlighting. Add support for highlight.js.”

AI: Modifies the rendering logic to integrate highlight.js.

You: “Images don’t display when using relative paths.”

AI: Adjusts the image loading logic to support relative path parsing.

Through iterative rounds like this, a complete product is created. You never wrote a line of code, but the product is indeed your creation.

Who is Using Vibe Coding?

Independent Developers

This is the largest beneficiary group of Vibe Coding. A project that used to take two weeks can now be completed in two days. Independent developers can create more products in less time and quickly validate their ideas.

Non-Technical Entrepreneurs

Many entrepreneurs have business ideas but cannot code. Previously, they needed to hire freelancers or find technical partners. Now, they can use Vibe Coding to create an MVP (Minimum Viable Product), validate their business model, and decide whether to invest more resources.

Professional Developers

Don’t assume that professional developers don’t use Vibe Coding. Many experienced engineers leverage it to accelerate their daily development—writing boilerplate code, quickly prototyping, and handling repetitive tasks. The difference is that they know where AI-generated code might have issues and can intervene to correct them at critical moments.

Limitations of Vibe Coding

Concerns About Code Quality

AI-generated code being “functional” does not mean it is “well-written.” You might end up with:

• Redundant duplicate code
• Unreasonable architectural designs
• Missing error handling
• Potential security vulnerabilities

If you completely ignore the code, these issues can act like time bombs buried within the project. As the project scales and more users come on board, they will explode one by one.

Deterioration of Debugging Skills

Long-term reliance on Vibe Coding may lead to a decline in your debugging skills. When encountering issues, the first reaction is not to analyze the cause but to throw the error message at AI. When AI cannot resolve it either, you may find yourself at a loss for where to start.

Not Suitable for All Scenarios

Vibe Coding excels at:

• Standard web applications
• Common business logic
• General functionality implementation

However, if you are doing the following, Vibe Coding may not be very helpful:

• High-performance computing or low-level optimization
• Complex distributed system design
• Security-sensitive financial or medical systems
• Infrastructure code requiring extreme reliability

Knowledge “Hollowing”

The biggest risk is not poor code quality but rather that you “don’t know what you don’t know.” Vibe Coding allows you to create things but does not necessarily help you understand them. When projects encounter deeper technical issues, developers lacking foundational knowledge may find themselves helpless.

The Right Attitude Towards Vibe Coding

Use as an Accelerator, Not a Crutch

Treat Vibe Coding as a tool to enhance efficiency, not a shortcut to replace learning. Use it to quickly implement ideas while also taking time to understand what the AI-generated code is doing.

Maintain a Baseline of Understanding

You may not write every line of code by hand, but you must understand every line of code. If AI generates code you don’t understand, don’t use it directly—first, ask AI to explain it clearly, and only use it after you comprehend it.

Establish Code Review Habits

Even AI-written code should be reviewed like you would review a human colleague’s code. Focus on:

• Correctness of logic
• Security vulnerabilities
• Performance issues
• Maintainability

Continuous Learning of Fundamentals

Data structures, algorithms, design patterns, system design—these foundational concepts remain important even with AI. In fact, they become even more critical because only with this knowledge can you make the right choices among the multiple solutions provided by AI.

Future Outlook

Will Vibe Coding Replace Traditional Programming?

Not in the short term. Vibe Coding changes the “interface” of programming—from writing code to describing requirements. However, the essence of programming—breaking down problems, designing logic, and handling edge cases—will not disappear; it has merely changed in expression.

New Skill Trees

The skill combination future developers may need could evolve into:

• 50% Product Thinking: Knowing what to do is more important than knowing how to do it.
• 30% System Design: Architectural capabilities determine the project’s ceiling.
• 20% Code Implementation: Specific coding tasks are increasingly handled by AI.

Transformation of Programming Education

Vibe Coding is forcing a reform in programming education. The traditional model of “learning syntax first, then doing projects” may shift to “doing projects first, learning in the process.” This allows beginners to start building real things from day one, with syntax and details naturally acquired through practice.

Conclusion

Vibe Coding is not about “cutting corners”; it is a new development paradigm. It lowers the barriers to programming and increases development efficiency but also brings risks of code quality and developer skill degradation.

The correct attitude is: embrace the tools, but don’t abandon understanding. Use Vibe Coding to accelerate your work while always maintaining control over the code. After all, AI is your assistant, not your brain.

In 2026, programming has not disappeared—it has just taken on a new form.