What is Vibe Coding?

Recently, a new term has been buzzing in Silicon Valley and among major tech companies in China: Vibe Coding. Some describe it as a laid-back approach to programming, where one can achieve results without getting bogged down in code details. Others see it as an efficiency tool in the AI era, freeing programmers from repetitive tasks to focus on core creativity. Some even claim that not understanding Vibe Coding could lead to being phased out of the industry in the next three years.

As someone who has been deeply involved in programming for eight years and witnessed the evolution from traditional programming to AI-assisted coding, I will explain Vibe Coding in simple terms and practical examples. It is not a mystical concept or a way to be lazy; rather, it is an efficient working method that everyone can master after AI has restructured programming logic.

In essence, Vibe Coding is a new programming model where humans set the direction and AI executes the tasks. The core idea is to describe requirements in natural language (setting the “vibe”), allowing AI to generate code and handle technical details. Humans only need to review, adjust, and make value judgments, completely freeing themselves from the tedious process of coding line by line, achieving a high-efficiency closed loop of “think it, do it, iterate quickly”.

Understanding Vibe Coding: Not Just Random Coding

Many people mistakenly believe that Vibe Coding means coding without logic or structure. This is a significant misunderstanding. The concept of Vibe Coding was first introduced by Andrej Karpathy, former AI director at Tesla and a member of the OpenAI founding team, in February 2025. He tweeted, “This is a completely new way of programming where you follow your instincts, embrace exponential efficiency, and forget about the existence of code itself.” This statement went viral overnight in Silicon Valley, leading to its inclusion in the Merriam-Webster Dictionary as the “Word of the Year” and being recognized by Collins Dictionary as a term for 2025, showcasing its influence.

Many wonder why Vibe Coding suddenly gained traction in 2025-2026. The core reason is simple: the maturity of AI technology has made “natural language-driven programming” a reality. In the past, programming was an exclusive skill for engineers, requiring proficiency in languages like Python, Java, or C++, and memorizing numerous syntax rules. Even a single punctuation error could cause the entire program to fail. In this model, the focus was on mastering technical details, leading many to get stuck on syntax and debugging, wasting time and stifling creativity.

The emergence of large AI models, especially those focused on coding, has broken down this barrier. Now, you don’t need to memorize complex syntax or code line by line. You simply need to describe the desired functionality in plain language (this is the “setting the vibe”), and AI can automatically generate runnable code. This is the core logic of Vibe Coding: delegate the task of writing code to AI, while humans focus on “thinking about requirements and making judgments”.

For instance, traditionally, creating a page for “users to upload resumes, extract information, and generate radar charts” would require expertise in front-end frameworks, back-end interfaces, and data visualization, taking at least 1-2 days. With Vibe Coding, you only need to tell AI, “I want a page that allows users to upload resumes, uses a large model to extract educational background and work experience, and finally generates a radar chart,” and AI can produce a runnable demo in half an hour. You just need to tweak the styles and optimize the details to fulfill the requirements.

Core Principles of Vibe Coding

Many find Vibe Coding to be complex, but its logic is straightforward. Remember these three core principles, and anyone—whether a programmer, product manager, or even a novice—can quickly get started. This is also key to its rapid adoption.

Principle 1: Describe to Create

Vibe Coding starts not with a blank code editor but with your natural language description. Many people get caught up in perfectionism when coding or creating, spending hours worrying about syntax, structure, and details without producing a single line of code. This is the biggest pain point of the traditional model.

The core mindset of Vibe Coding is: your first version doesn’t need to be perfect; it just needs to exist. How to achieve this? It’s simple: open an AI editor (like Cursor or Windsurf) and describe your idea as if chatting with a friend—this can be through voice transcription or text description. Don’t worry about syntax or logical rigor; just clearly state the core requirement. For example, “Help me write a simple calculator that can perform addition, subtraction, multiplication, and division with a clean interface,” and AI will generate the code immediately. You can then adjust the details and optimize the experience based on this draft.

This approach completely alleviates the “blank page anxiety,” allowing ideas to materialize quickly, which is one of the core advantages of Vibe Coding.

Principle 2: Rapid Prototyping and Testing

The traditional programming logic is “plan first, develop next, and finally publish,” leading to a linear and lengthy process that often takes weeks or months to complete a project. After publishing, if the market doesn’t respond well or needs change, revising can be costly.

In contrast, Vibe Coding follows a “spiral iteration” logic: idea → prototype → testing → iteration. It transforms “publishing” from an endpoint into a midpoint, making each release a controllable experiment driven by data.

For example, creating a course announcement page traditionally takes 3-5 days to finalize the text, design the poster, and develop the page, only to discover user interest post-publication. With Vibe Coding, a simple prototype can be generated in 30 minutes, allowing you to test topic popularity on social media. Based on interaction data, you can decide whether to develop further or adjust direction, even using AI to generate three different titles for A/B testing to quickly find the most appealing option.

The key shift is from “publish when ready” to “publish to find out what needs preparation,” and from “one-time perfection” to “small steps, rapid iterations.”

Principle 3: Iteration Over Planning

In traditional programming, many fall into the trap of “over-planning”: “I need to think through all the details and processes before I start coding.” However, market changes are rapid, and user demands are flexible; you cannot predict all variables beforehand. Often, your planning diverges significantly from actual user needs.

The Vibe Coding mindset acknowledges uncertainty and replaces upfront planning with a feedback loop. You don’t need to have every detail figured out from the start; just create a basic version and observe feedback. For instance, if users find a feature cumbersome or an interface unresponsive, you can quickly iterate and optimize based on this feedback. Each iteration is grounded in real data from the previous round rather than subjective assumptions, saving time and accurately matching needs.

Common Misunderstandings About Vibe Coding

As Vibe Coding gains popularity, more people are trying it out, but many misunderstandings can lead to missteps and even a denial of its value. Here are three common misconceptions to help you avoid pitfalls and correctly understand Vibe Coding.

Misunderstanding 1: Vibe Coding Means No Need to Learn Programming

Incorrect! Vibe Coding does not mean you can skip learning programming; it means you don’t have to get bogged down in coding details. However, it requires a higher level of “requirement description ability” and “judgment ability.”

AI can help you write code, but it cannot help you “think about requirements”—you must clearly know what you want to achieve to describe it accurately to AI. Additionally, AI-generated code may contain bugs or redundancies; you need basic programming knowledge to review, modify, and judge whether the code meets requirements and is safe and reliable.

In simple terms, Vibe Coding lowers the “entry barrier” for programming but does not eliminate it. It allows “non-coders” to quickly create demos and enables “coders” to enhance efficiency, but it won’t turn you into a programmer out of nowhere.

Misunderstanding 2: Vibe Coding is Sloppy and Produces Poor Quality Code

This is a common bias among seasoned programmers, but Vibe Coding is not about sloppiness; it’s about optimizing workflows. Indeed, if you don’t review AI-generated code and deploy it directly, bugs and security vulnerabilities may arise. This is not a flaw of Vibe Coding but rather an issue with how you use it. The core of Vibe Coding is “human-led, AI-assisted”; AI generates code (execution), while humans review, debug, and optimize (decision-making). This combination can enhance efficiency while ensuring code rigor and security.

Just as designers use AI to generate drafts and then manually optimize them, programmers can use AI to generate code and then manually review and modify it, resulting in high-quality programs.

Misunderstanding 3: Vibe Coding Will Replace Programmers

Not at all! Vibe Coding will eliminate “tool-oriented” programmers who can only code line by line without thinking or innovating, not the core programmers who have ideas, judgment, and optimization skills.

AI can replace repetitive, tedious, and mechanical coding tasks, but it cannot replace human creativity, judgment, and logical thinking—such as requirement analysis, architecture design, code optimization, and problem-solving, which all require human experience and thought.

On the contrary, Vibe Coding will free programmers from repetitive tasks, allowing them to focus on more valuable core work, such as implementing ideas, optimizing architecture, and enhancing user experience, maximizing the value of programmers. Just as calculators did not replace mathematicians, AI will not replace programmers; it will only make them more efficient and valuable.

Practical Steps: How Anyone Can Quickly Get Started with Vibe Coding

Whether you are a programmer, product manager, or a novice with no programming knowledge, if you have an idea for implementing a certain function, you can quickly get started with Vibe Coding. Here’s a simple, easy-to-follow process along with recommended tools that beginners can use directly.

Step 1: Clarify Requirements and Describe Precisely

This is the key to Vibe Coding; the more precise your description, the better the AI-generated code will meet your needs. When describing, try to include three elements: functional requirements, effect requirements, and usage scenarios.

Poor example: “Help me write a small program” (too vague; AI doesn’t know what type or function you want).

Good example: “Help me write a WeChat mini-program for community second-hand goods trading, including four functions: publishing products, browsing products, searching products, and private messaging. The interface should be simple, mobile-friendly, and support image uploads” (precise and specific, AI can quickly grasp the requirements).

Step 2: Choose the Right AI Tool

Currently, mainstream Vibe Coding tools fall into two categories, and you can choose based on your needs:

1. AI Editors (suitable for those with some programming knowledge needing local development): Cursor (initially popular, supports various programming languages), Claude Code (Anthropic’s own tool, excels at complex code generation), Windsurf (simple to use, ideal for rapid prototyping).

2. Web-based Generators (suitable for novices wanting quick results): v0 (produced by Vercel, focuses on front-end component generation), Bolt.new (full-stack development usable in the browser), Replit Agent (beginner-friendly, supports various scenarios).

Step 3: Review, Modify, and Iterate Quickly

After AI generates the code, do not use it directly; first, do three things: 1) Check if the code meets requirements and if any features are missing; 2) Debug the code to identify bugs and redundancies; 3) Optimize details, such as interface style and loading speed.

If you are not satisfied, tell AI the direction for modification in natural language, such as “Change the button color to blue and increase the font size” or “Optimize the code to make the page load faster.” AI will quickly adjust until it meets your expectations.

Step 4: Test, Publish, and Collect Feedback

After modifications, publish a basic version and collect user feedback (such as experiences from friends or colleagues, or comments from online users). Based on the feedback, use AI to quickly iterate and optimize, gradually improving the product.

Here’s a bonus for novices: using the Cursor tool, copy this sentence to quickly generate a simple AI picture book generator demo (no coding): “I want to create an AI picture book generator using Python + Gradio for the interface, where users input a text description, and AI generates images in a picture book style and displays them. Help me create the project structure and necessary files.” Following AI’s prompts, you can see results in five minutes.

Conclusion: Vibe Coding as a Trend and a Skill in the AI Era

By 2026, AI will have restructured the working logic across all industries, including programming. Vibe Coding is not a fleeting trend but a necessary choice to adapt to the AI era—it is not about being lazy but about being efficient; it is not about abandoning programming but about upgrading skills.

For programmers, Vibe Coding can help you escape repetitive tasks, enhance efficiency, and focus on more valuable core work, achieving cost reduction and efficiency increase. For product managers, Vibe Coding allows you to verify requirements hands-on and quickly create demos without the need for lengthy communications with engineers, reducing communication costs. For novices, Vibe Coding enables you to realize your ideas quickly without giving up due to a lack of coding knowledge.

In conclusion, the iteration of technology is never meant to eliminate people but to empower them. The emergence of Vibe Coding does not threaten programmers’ jobs but rather enhances the value of truly capable and innovative programmers.

Instead of resisting trends, embrace them proactively. Start using Vibe Coding today to implement a small idea, and you will find that programming can be simple, efficiency can be high, and creativity can be realized quickly.

Share your thoughts in the comments: Do you think Vibe Coding will change the programming industry? What features would you most like to implement using it?