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What Is Vibe Coding? How AI Is Changing Software Development
If you’ve spent any time on tech Twitter or developer forums lately, you’ve probably seen the term “vibe coding” thrown around. And if your first reaction was “what does that even mean,” you’re not alone. It sounds made up. But it’s very real, and it’s kind of a big deal.
In simple terms, vibe coding is when you build software by describing what you want in plain English and letting an AI write the code for you. That’s the short answer to what is vibe coding. The longer answer, and what AI vibe coding actually looks like day to day, takes a bit more explaining. So let’s get into it.
What Is Vibe Coding?
Vibe coding is the practice of building software by describing what you want in natural language instead of typing out functions line by line. You’re not writing syntax or hunting down missing brackets. You’re talking to an AI and watching it build things, then reviewing what comes out.
AI vibe coding takes this a step further. It means using AI systems, like Cursor, Claude Code, or GitHub Copilot, to generate, modify, explain, and debug software based on natural language instructions. The AI handles the mechanical parts. You guide the direction.
The difference between traditional coding and vibe coding comes down to who writes the code. In traditional coding, a developer writes every line by hand and understands each piece before it ships. In vibe coding, the AI writes most of the code, and the person’s job shifts toward describing, testing, and reviewing.
The term was coined by Andrej Karpathy, an AI researcher and former Tesla and OpenAI engineer. In a February 2025 post on X, he described a new way of building things: prompting AI tools with ideas and vibes rather than worrying about the code underneath. The name stuck fast, though Karpathy later said he meant it mainly for fun, throwaway projects, not production systems.
The term caught on so quickly that Collins Dictionary named “vibe coding” its Word of the Year for 2025, calling it proof of a real shift in how AI is making coding more accessible.
What Does AI Vibe Coding Mean?
AI vibe coding means using AI tools to create or modify software by describing the result you want in plain language, rather than manually writing every part of the code yourself. That’s the direct answer to what does vibe coding mean in practice.
Here’s what the process actually looks like:
- You describe what you want.
- The AI generates code.
- You test it.
- You tell the AI what needs changing.
- You review and improve the result.
That loop repeats until the software does what you need. It’s simple in concept. The real skill is in the reviewing, not just the prompting.
How Does Vibe Coding Actually Work?
The tools people use for vibe coding include Cursor, GitHub Copilot, Claude Code, and Replit’s AI features. If you’re not sure which AI tool fits your project, we compared them here: [Best LLM in 2026].
Best LLM for Coding in 2026 – GPT 5.6 or Claude Opus 5
The workflow breaks down into five simple steps.
Step 1: Describe the idea. You explain what you want to build. It could be a landing page, a script, or a full app.
Step 2: AI generates the code. The AI creates a working first version based on your description.
Step 3: Run and test it. You check whether the code actually works and does what you asked for.
Step 4: Ask for changes. You explain what needs fixing or adjusting, in plain language.
Step 5: Review and refine. The AI generates an updated version, but you still need to check the result before trusting it.
This loop can run in minutes for a small feature, or over many rounds for a full application.
How Does Vibe Coding With AI Work?
AI Automation Agency: Services, Costs & Benefits – EpicTechNews
The easiest way to picture the relationship is director and crew. You act as the director. The AI handles the initial coding work.
A few real examples of prompts people use:
- “Build a landing page for a software company.”
- “Add a dark mode button.”
- “Create a login system.”
The AI can generate working code from prompts like these in seconds. But you still need to run it, test it, and check that it actually behaves the way you expect. Vibe coding with AI isn’t a hands off process. It’s closer to fast paced pair programming, where the AI does the typing and you do the judging.
What Can You Build With Vibe Coding?
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People are using vibe coding to build a wide range of things, including:
- Websites and landing pages
- Web apps
- Simple mobile apps
- Dashboards
- Automation scripts
- Prototypes
- Internal business tools
- Small games
Simple projects with clear requirements tend to go smoothly. More complex applications, especially ones handling real user data or payments, still need strong technical knowledge and careful testing before launch.
Why Are People Excited About Vibe Coding?
What It is Really Like to Use AI for Real Coding Work
Faster prototyping. People can go from an idea to a working demo in hours instead of weeks. Israeli founder Maor Shlomo built an AI app builder called Base44 as a side project and sold it to Wix for $80 million just six months after starting it, without ever raising outside funding.
Lower barrier to entry. You no longer need years of coding experience to try building something. Non developers can test an idea for themselves before ever hiring anyone.
Less repetitive coding. AI handles boilerplate, config files, and standard setup work, freeing people to focus on the parts that actually need judgment.
Faster experimentation. Testing five different approaches to a feature used to take days. With AI drafting each version, it can take an afternoon.
The productivity numbers are genuinely strong in controlled settings. A study from Microsoft Research and GitHub found that developers using GitHub Copilot completed a specific coding task 55.8% faster than developers working without it. But results vary a lot by task. A 2025 study from METR found that experienced open source developers using AI tools were actually about 19% slower on real world tasks, even though they had predicted they’d be faster. The honest takeaway is that AI helps a lot on some tasks and gets in the way on others.
What Are the Risks of Vibe Coding?
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It’s not all upside. Four risk areas come up again and again.
Security risks. AI generated code can skip basic security steps if you don’t ask for them directly. In early 2026, an AI social network called Moltbook, built entirely through vibe coding, exposed 1.5 million API keys and 35,000 email addresses because its database was missing basic access controls. The founder had publicly said he hadn’t written a single line of code himself.
Code quality. Generated code can run without errors while still being poorly organized underneath. It works today and becomes hard to extend tomorrow.
Debugging problems. When something breaks in code you didn’t write, tracking down the cause takes longer. You’re debugging logic you never fully understood in the first place.
Lack of understanding. People can end up owning software they can’t maintain on their own, which becomes a real problem the moment something needs to change.
Trust in AI generated code reflects this. In Stack Overflow’s 2025 Developer Survey of nearly 49,000 developers, only 33% said they trust the accuracy of AI tools, while 46% said they actively distrust it. Sixty six percent said debugging AI generated code takes longer than expected.
Is Vibe Coding Still a Thing?
What It is Really Like to Use AI for Real Coding Work
Yes, and it has grown well past being an online trend. If the question is whether people are still tossing off quick demo apps for fun, that phase has mostly passed. What’s replaced it is a broader shift toward AI assisted software development that professional teams now build with every day.
People still use it because the speed benefits are real for the right kind of task. It works well for prototypes, internal tools, and new projects with clear requirements. It works less well for complex systems, tight security requirements, and large existing codebases where mistakes get expensive fast.
Professional developers have mostly stopped treating it as all or nothing. Google’s own numbers show how far this has moved. CEO Sundar Pichai said AI generated code made up about 25% of Google’s new code in late 2024. By April 2026, that figure had reached 75%, with engineers still reviewing and approving everything before it ships. That review step is what separates professional use from the riskier, fully hands off version of vibe coding.
AI Vibe Coding vs Traditional Coding
| Factor | AI Vibe Coding | Traditional Coding |
|---|---|---|
| How code is created | Natural language and AI | Written manually |
| Starting barrier | Lower | Higher |
| Speed | Often faster for prototypes | Usually slower |
| Control | Depends on AI output and review | Direct control |
| Debugging | AI can assist | Developer handles it |
| Best use | Prototypes and simpler projects | Complex production systems |
Neither approach wins across the board. Most professional teams now blend both, using AI for speed and human review for anything that matters.
Is Vibe Coding Killing Developer Jobs?
Why Tech Layoffs Keep Happening Even as AI Investment Booms
Short answer, not really, but it’s changing what the job looks like.
Anyone can generate code now. The people who understand why something works, who can catch a security flaw, and who can architect a system properly, those skills matter more, not less. AI doesn’t remove the need for software engineering. It reduces how much manual typing that engineering requires.
We wrote about how AI is already changing how we search and consume information too: [Death of the Click].
You can see the pattern clearly in the Y Combinator Winter 2025 batch, where YC managing partner Jared Friedman said a quarter of the startups had codebases that were 95% AI generated. These weren’t non technical founders. They were experienced engineers who chose to let AI handle the typing while they focused on architecture, security, testing, and the decisions that actually needed a human.
Developers are still needed for the parts AI can’t fully own: architecture, security, testing, debugging, performance, and long term maintenance.
Who Is Using Vibe Coding?
Developers use it to speed up coding and cut down repetitive work, while staying in control of anything critical.
Startup founders use it to build prototypes without hiring a full engineering team on day one, the way Maor Shlomo did with Base44.
Designers and creators use it to turn ideas into working prototypes without waiting on a developer.
Non developers use it to build simple tools and small applications for personal or team use.
Businesses use it to create internal tools and automations that wouldn’t have justified a full development budget before.
Who Should Not Rely on Vibe Coding?
Some situations call for more caution than a quick AI generated build can offer. Be careful relying purely on vibe coding for:
- Financial systems
- Healthcare applications
- Anything handling sensitive personal data
- Security systems
- Large production platforms
- Anything with strict regulatory compliance requirements
AI can absolutely help build software in these areas. But high risk software still needs a proper technical review before it goes live. The Moltbook breach is a clear example of what happens when that review step gets skipped.
Should You Learn to Vibe Code?
For developers, learn it as an AI assisted development skill, not a replacement for what you already know. Use it for the boring parts and save your judgment for the parts that matter.
For beginners, use it to learn and experiment, but don’t assume the generated code is always correct. Read it. Ask why it works.
For founders, use it for prototypes and early validation. It’s genuinely one of the fastest ways to test whether an idea has legs.
For businesses, use it for low risk internal projects, and keep technical people reviewing anything that touches production or customer data.
Vibe coding isn’t the end of programming. It’s more like programming with a genuinely powerful assistant. The direction is still yours. The AI just handles more of the typing.
You can also track how your own content shows up in AI search results here: [Best AI Search Monitoring Tools].
Frequently Asked Questions About Vibe Coding
What is vibe coding?
Vibe coding is building software by describing what you want in plain language and letting an AI generate the code, instead of writing it by hand.
What does AI vibe coding mean?
It means using AI tools to create or modify software from natural language instructions, then testing and reviewing what the AI produces.
How does vibe coding work?
You describe the idea, the AI generates code, you test it, ask for changes, and repeat until it works the way you need.
Is vibe coding still a thing?
Yes. It has moved from a casual trend into a standard part of professional software development, used alongside traditional coding rather than instead of it.
Can you build an app with vibe coding?
Yes, for simple to moderately complex apps. Base44, built by one founder using this approach, was acquired by Wix for $80 million.
Is vibe coding good for beginners?
Yes, as a way to learn and experiment. Beginners should still read the generated code and understand what it does before relying on it.
Is vibe coding replacing programmers?
No. It changes what the job focuses on. Developers are still essential for architecture, security, testing, and maintaining systems over time.
