Vibe coding is a way of programming using natural language, without needing to know code. Understand what it is, how it works, which tools to use, and what the real risks are.
meone say they "created an app over a weekend without knowing how to program." Or that a friend "made a website using only ChatGPT ." Or that someone in your field is using AI to automate tasks that previously required a developer.
This phenomenon has a name: vibe coding .
It's not magic. It's not a lie. But it's also not what some viral videos make it seem like. This guide explains what it really is, how it works, and what you can achieve.
What is vibe coding?
Vibe coding is a way of creating software using natural language , that is, writing in Portuguese or English what you want the program to do, instead of writing code directly.
The term was coined by Andrej Karpathy, one of the world's most influential AI researchers and former director of AI at Tesla, in a post published on X in February 2025. His definition was straightforward:
"There's a new way of programming that I'm calling vibe coding, where you fully immerse yourself in AI and forget that code exists."
The central idea is that you describe what you want. The AI writes the code. You test it. If it doesn't work, you describe the problem. The AI fixes it. And so on.
This isn't exactly new. For years it's been possible to ask ChatGPT to write code. What changed in 2025 and 2026 is the quality of the models , the creation of specific tools for this workflow, and the volume of people using it to create real things.
How it works in practice
Imagine you want to create a spreadsheet that automatically organizes your monthly expenses by category. In the past, you would have had two options: learn to program or hire someone.
With Vibe Coding, you open a tool like Cursor , Bolt , or Lovable , type something like "create a page where I can enter my expenses and it automatically organizes them by category and shows a graph," and the AI generates the complete code.
You don't need to understand what's written in the code. You test the result. If something is wrong, you describe the problem: "the graph is showing up but the categories all have the same name". The AI reads the error, identifies the problem in the code, and corrects it.
The cycle is: describe → generate → test → describe the problem → correct → repeat .
For many simple tasks, this cycle works surprisingly well. For complex tasks, it begins to show limitations.
Why does this matter now?
Three things happened simultaneously to make vibe coding relevant in 2026.
- The models have improved significantly. The 2022 ChatGPT could write simple code with many errors. The 2025 and 2026 models, such as Claude Opus, GPT-5, and Grok 4.5, can write functional and complex code with much greater accuracy. The difference in quality is enormous.
- Specific tools have been created. It's no longer necessary to copy code from ChatGPT and paste it into an editor. Entire platforms have been built for this workflow: Cursor integrates AI directly into the programming environment, Bolt and Lovable generate complete applications from a description, and Vercel's v0 creates visual interfaces instantly.
- The cost of testing has dropped to zero. You don't need to set up a server, database, or domain to see if your idea works. Many of these tools generate a link to the project running in seconds.
What can you create?
For a beginner, the real-world possibilities are more specific than viral videos suggest. Some things that work well:
- Simple pages and websites : A personal portfolio, a landing page for a product, an email capture page. This type of project is exactly where Vibe Coding shines: defined structure, immediate visual results, without much complex logic behind it.
- Personal tools : A financial goal calculator, a task organizer, a form that sends data to a spreadsheet. Projects with a small and well-defined scope.
- Prototypes and proof of concept : You have a product idea and want to show someone what it would look like. It doesn't need to be perfect. It just needs to exist. Vibe coding is great for this.
- Simple automations : Scripts that process files, send automatic emails, and organize data. With tools like Claude or ChatGPT, even without a specific Vibe Coding platform, it's possible to generate this type of script.
What doesn't work so well
This is where most viral videos stop talking. Because vibe coding has real limitations that quickly become apparent when you go beyond the basics.
Large projects become unstable : As a project grows, the AI starts to "forget" parts of what has already been created. Fixing a problem in one area can break another. Without understanding the code, it becomes difficult to diagnose what is wrong.
Security is a blind spot : AI-generated code may contain vulnerabilities that you won't identify because you don't know what you're reading. For projects dealing with user data, payments, or sensitive information, this is a real risk.
AI lies confidently : This is called hallucination. The model can generate code that appears correct, doesn't work, and when you ask why it didn't work, it confidently explains something that is also incorrect. Without minimal technical reference, it's difficult to notice when this happens.
Maintenance is a challenge : Building the project was quick. But six months later, when something stops working or you want to add a new feature, you're fully dependent on AI again. And the context of what was built can be lost.
The most used tools in 2026
You don't have to choose one right now. But it's helpful to understand what each category does:
- To create apps and websites from scratch: Bolt , Lovable , and v0 are the most popular options. You describe what you want, they generate the code and a link to preview it. A good starting point for beginners.
- For programming with AI assistance: Cursor and GitHub Copilot are code editors where AI suggests, completes, and corrects as you work. More powerful, but require some technical knowledge to take full advantage of them.
- For one-off tasks and automations: ChatGPT, Claude, or Gemini themselves, without a specific platform. You describe the task, receive the script, and execute it. It's suitable for simple automations without the need to build a complete product.
- For projects with existing code: Claude Code and GitHub Copilot Workspace allow you to work within existing code repositories, which is more relevant for those who already have some technical background.
What vibe coding is not
It's worth dispelling two common misconceptions.
This is not the end of programming.
Labor market data for 2026 shows that software engineers are among the most resilient roles to AI-related layoffs, precisely because they are the ones who know how to guide these tools.
Vibe coding is eliminating some of the repetitive work , not the professionals who understand what's going on.
It's not for every project.
For critical applications, financial systems, platforms with many users, or anything where a bug has real consequences, coding without technical supervision is a risk . The success stories that circulate usually involve small, personal, or experimental projects.
Where to begin?
If you've never tried it, the recommendation is to start small and with carefully managed expectations.
Choose a simple project that you genuinely need: a page to showcase your work, a tool to organize something in your daily life, a form for a personal project. Open Bolt or Lovable, describe what you want in detail, and see what comes out.
The goal of the first experience is not to create something perfect. It's to understand how the cycle of describing, testing, and correcting works in practice. Because Vibe Coding, like any tool, is learned by using it.
Ultimately, what makes vibe coding relevant isn't that it eliminates the need for technical knowledge. It's that it has democratized the possibility of creating things that previously only existed in the minds of those who didn't know how to program. And that, regardless of its limitations, is a real change.
