What is Vibe Coding? – WeWillExplain
🔥 Collins Word of the Year 2025 · Fact-Checked June 2026

What is Vibe Coding?

The AI revolution that lets anyone build software just by describing what they want — in plain English.

⏱ 8 min read 📅 Updated June 2026 🎓 Beginner Friendly
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The Simple Definition
Plain English Definition

Vibe coding means telling an AI AI (Artificial Intelligence) — A computer system that can understand human language and generate responses, code, images, and more on its own. what software you want to build — in plain language, like chatting — and the AI writes all the code for you. You don’t need to know programming. You just describe the vibe of what you want, and the AI builds it.

Imagine you want to build a to-do list app. Instead of spending weeks learning to code, you just type: “Build me a to-do list app where I can add tasks, mark them done, and delete them.” The AI builds it instantly.

“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.” — Andrej Karpathy, Co-founder of OpenAI · February 2, 2025

The term was coined Coined — When someone creates a brand new word or phrase that didn’t exist before. by computer scientist and OpenAI co-founder Andrej Karpathy. It became so popular that Collins Dictionary named it the Word of the Year 2025.

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How It All Started

The story of vibe coding is surprisingly recent. Here’s how it went from a tweet to the tech world’s biggest trend:

2021

GitHub Copilot Launches

AI code-suggestion tools emerge. At first, they just autocomplete a line or two — helpful, but not revolutionary.

Late 2024

LLMs Get Dramatically Better

LLMs LLM (Large Language Model) — A type of AI trained on huge amounts of text that can understand and generate human-like language. Examples: ChatGPT, Claude, Gemini. like Claude, GPT-4 and Gemini become powerful enough to write entire programs from a simple description.

February 2, 2025

Karpathy Coins “Vibe Coding”

Andrej Karpathy posts on X (formerly Twitter), describing a new style of programming where you “forget the code even exists.” The post goes viral overnight.

March 2025

25% of Y Combinator Winter 2025 Cohort: 95% AI-Generated Code

TechCrunch reported this figure in March 2025 — a stunning sign that the trend is mainstream in the startup world.

November 2025

Collins Word of the Year

Vibe coding officially enters the dictionary. It’s no longer just a trend — it’s part of our language.

2026

A $4.7 Billion Market

The vibe coding market is valued at approximately $5.5–7.4 billion in 2025, depending on scope definition, with forecasts ranging from $12 billion to $48 billion by 2032–2035.

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How Vibe Coding Actually Works

The process is surprisingly simple. You don’t write a single line of code yourself — you just have a conversation with AI.

01

Describe What You Want

Type what you want in plain English. “Build a recipe app where I can save, search and rate my recipes.”

02

AI Writes the Code

The AI model AI Model — The “brain” behind AI tools. It has been trained on billions of lines of code and can generate new code based on your instructions. generates all the source code Source code — The actual text instructions written in a programming language (like Python or JavaScript) that a computer understands and runs. instantly.

03

Review and Test

You run the app and see if it works. If something’s off, you tell the AI in plain language what to fix.

04

Iterate & Refine

Keep chatting with the AI to add features, change designs, or fix bugs — no coding knowledge required.

05

Deploy

Many vibe coding tools automatically deploy Deploy — Publishing your app online so other people can access it on the internet. your app to the internet with one click.

User: “Build me a simple quiz app with 5 questions about space. Show the score at the end.” AI: “Sure! Here’s your quiz app…” [generates 150 lines of HTML, CSS and JavaScript in 3 seconds] User: “Make the background dark and add a timer for each question.” AI: “Done! I’ve updated the design and added a 30-second countdown timer…”
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Vibe Coding by the Numbers
46%
Code AI-generated (Copilot users)
92%
US developers use AI tools daily
$7.4B
AI coding market (2025)
63%
Vibe coding users are non-developers
25%
YC startups with 95% AI code
Advantages of Vibe Coding

For the right use cases, vibe coding is genuinely transformative. Here’s what it does well:

🚀 Advantages

  • Anyone can build software. No years of study required. A teacher, designer, or entrepreneur can now create apps, websites, and tools.
  • 10× faster development. What used to take weeks of coding can be done in hours. Teams prototype ideas the same day they have them.
  • Lower cost for startups. Instead of hiring a large dev team, small startups can build MVPs MVP (Minimum Viable Product) — The simplest version of a product that still works and can be tested with real users. fast and lean.
  • Removes repetitive work. AI handles boring, repetitive coding tasks — developers can focus on creative problem-solving.
  • Great for learning. Beginners can see working code instantly and learn from it.
  • Democratises technology. People in regions without access to expensive CS education can now build tech products.
  • Rapid prototyping. Ideas go from napkin sketch to working app in hours, enabling faster feedback cycles.
  • No language barrier. You can prompt in your own language and build software without knowing English programming syntax.
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The Real Risks of Vibe Coding

Vibe coding is powerful — but experts have raised serious concerns. Here’s what you need to know:

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Security Vulnerabilities

AI-generated code has 2.74× higher security vulnerability rates than human-written code. In May 2025, 170 out of 1,645 apps built with the tool “Lovable” had a critical flaw exposing users’ personal data.

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Hidden Bugs

If you don’t understand the code the AI wrote, you may not even know there are bugs until something breaks badly — possibly in front of real users.

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Hard to Scale

AI-generated code often works fine for small projects but falls apart when you try to grow. Code duplication Code duplication — When the same or very similar code appears in multiple places. This makes maintenance harder and increases the chance of bugs. increased 4× and code refactoring dropped from 25% to under 10% by 2024.

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Hard to Maintain

Senior engineers in 2025 reported “development hell” working with AI-generated codebases — it’s often messy, poorly structured, and painful to update.

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Junior Developers Struggle More

Experienced developers use AI to go faster. But junior developers often lack the skills to spot AI mistakes — meaning they sometimes ship broken or insecure code confidently.

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Legal & Copyright Risks

AI models are trained on code from the internet. Sometimes the code they generate is too similar to copyrighted open-source code, which can create legal liability Legal liability — Being legally responsible for harm or violation of rules. If your product uses copyrighted code you didn’t write, you could face lawsuits. .

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Cautions: When NOT to Vibe Code
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Vibe coding is NOT appropriate for: banking apps, healthcare systems, children’s platforms, government services, or any software where a security breach could harm real people. Always consult a professional software engineer for high-stakes projects.

Industry analysts warn that businesses adopting vibe coding without proper governance risk accumulating “technical debt” — messy, unmaintainable code that becomes costly to fix later. A 2025 Veracode report found that 45% of AI-generated code fails OWASP Top 10 security tests.

✅ Safe for Vibe Coding ⚠️ Be Careful 🚫 Avoid Vibe Coding
Personal projects & portfolio sites Small business apps with limited user data Banking or payment systems
Hobby apps & weekend experiments Internal team tools Healthcare apps or medical data
Prototypes & idea validation Early-stage startup MVPs (with code review) Government or legal systems
Learning to code Marketing pages & landing pages Any safety-critical system
Creative tools & games Content management tools Apps handling sensitive personal data at scale
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Popular Vibe Coding Tools

These are the tools people are actually using to vibe code in 2025–2026:

Cursor

AI-powered code editor. Talk to your codebase in plain language. Most popular among professional developers.

For Developers

Replit

Cloud-based IDE. Describe an app and it builds, runs, and deploys it. Beginner-friendly.

Beginners

Lovable

No-code vibe coding. Fastest-growing SaaS in history. over 25 million projects built, with 100,000+ new projects created daily and approximately 8 million users.

No-Code

GitHub Copilot

Built into VS Code. Suggests entire functions. Used by millions. Backed by Microsoft.

For Developers

Bolt.new

Type what you want, get a working app. Runs code locally in the browser. Went viral fast.

Beginners

Windsurf

Code assist with internet search integration. Strong for complex, multi-file projects.

Advanced
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Vibe Coding vs Traditional Coding
Aspect Traditional Coding Vibe Coding
Who can do itTrained programmers (years of study)Anyone — designers, teachers, founders
SpeedDays to monthsMinutes to hours
Code qualityHigh (when done well)Variable — requires review
MaintenanceStructured and maintainableCan become messy over time
SecurityControlled by engineerAI may introduce vulnerabilities
Learning curveVery steepVery gentle
Best forProduction-grade, enterprise softwarePrototypes, personal projects, MVPs
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Quick Summary: Pros & Cons

✅ Pros

  • Anyone can build software
  • 10× faster development
  • Low barrier to entry
  • Great for prototyping
  • Reduces repetitive work
  • Saves money on development costs

❌ Cons

  • Security vulnerabilities are common
  • Hard to maintain long-term
  • Doesn’t replace real engineers
  • Juniors may miss AI mistakes
  • Can create legal issues
  • Not safe for critical systems
Frequently Asked Questions
No! That’s the whole point. Vibe coding tools are designed so that anyone — even people with zero programming knowledge — can describe what they want and get working software. You just need to know how to explain your idea clearly in plain language.
The term was coined by Andrej Karpathy — a renowned computer scientist, co-founder of OpenAI, and former AI Director at Tesla. He introduced it on February 2, 2025, in a post on X (formerly Twitter), where he described a new style of AI-powered coding where you “forget the code even exists.”
It depends. For personal projects, prototypes, and simple tools, it’s great. But for apps that handle sensitive data (banking, healthcare, personal information), you should always have a professional software engineer review the code. AI-generated code has been shown to have 2.74× higher security vulnerability rates than human-written code.
Not entirely. Experienced developers are becoming more productive using AI — not being replaced. Karpathy himself has already moved on from “vibe coding,” describing it as dated and now discusses “agentic engineering” as the next phase. Senior developers now act as “orchestrators” who guide AI, review output, and make architectural decisions. However, routine and entry-level coding work is increasingly automated.
For absolute beginners, Lovable, Replit, and Bolt.new are the most beginner-friendly — you describe what you want and they build and deploy automatically. For developers who want more control, Cursor (7M users, $2B+ ARR), GitHub Copilot (20M users), and Claude Code (terminal-based agent) are the top choices. For frontend UI specifically, v0 by Vercel excels at React component generation.
The vibe coding market barely existed in 2023. By 2026, it is estimated to be worth $4.7 billion and growing at 38% per year. Major companies like Cursor, Replit, and Lovable have each received hundreds of millions in venture capital funding. Cursor reached a $29.3 billion valuation in November 2025 and is reportedly in talks for a $50 billion valuation as of April 2026. The broader AI programming market is projected to reach $24 billion by 2031.
AI-generated code can be trusted for simple, low-stakes applications — but it must always be reviewed. Research by CodeRabbit found that AI-generated code has 1.7× more major issues than human-written code. Think of AI like a very fast intern: productive and impressive, but you need to check their work. The more critical the software, the more thorough the review needs to be.
Traditional no-code tools (like Wix or Squarespace) let you build things by dragging and dropping elements — but you’re limited to what the tool offers. Vibe coding is more flexible: you describe anything you can imagine, and the AI generates actual code to make it happen. You can build custom apps, unique features, and complex logic that no-code tools don’t support. It’s like the difference between choosing from a menu and having a chef cook whatever you want.
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Credible Sources

All data and claims in this article are sourced from reputable, verified publications:

  • Wikipedia Vibe Coding — Wikipedia. Comprehensive overview including origin, controversy, and expert reactions. en.wikipedia.org/wiki/Vibe_coding
  • TechCrunch Cursor raises $2.3B at $29.3B valuation (Nov 2025); in talks for $50B (Apr 2026). techcrunch.com
  • TechCrunch Lovable raises $330M at $6.6B valuation (Dec 2025). techcrunch.com
  • Bloomberg / 13Labs Cursor $2B+ ARR, Lovable $400M ARR (Feb 2026). AI coding market at $7.37B. 13labs.au
  • Spherical Insights Global Vibe Coding Market: $5.48B (2025) → $47.86B (2035) at 24.2% CAGR. sphericalinsights.com
  • Stack Overflow 2025 Developer Survey: 92% of US developers use AI tools daily; 84% globally use or plan to use. stackoverflow.com
  • CodeRabbit AI-generated code has 2.74× higher security vulnerability rates and 1.7× more major issues. coderabbit.ai
  • Veracode 45% of AI-generated code fails OWASP Top 10 security tests (2025 report). veracode.com
  • TechCrunch Mehta, Ivan — 25% of YC Winter 2025 startups have 95% AI-generated code. March 6, 2025. techcrunch.com
  • Andrej Karpathy / X Original tweet coining “vibe coding” — February 2, 2025. x.com/karpathy
  • GitHub Copilot: 20M all-time users, 4.7M paid subscribers, 46% code generation rate. github.com
  • McKinsey Feb 2026 study: 46% reduction in routine coding time across 150 enterprises. mckinsey.com

📝 This article is for educational purposes. The tech landscape evolves rapidly — always check the latest sources for updated data. Last updated: June 2026. All statistics verified against primary sources including TechCrunch, Bloomberg, Stack Overflow, GitHub, CodeRabbit, Veracode, and Spherical Insights.

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