What Is Vibe Coding?

What is vibe coding? It is a way of building software by describing what you want to an AI tool and letting it generate most of the code.

You test the result, ask for changes, and repeat the process until the app or website works. It is fast and useful for early ideas, but the generated code still needs proper review before it is used for anything important.

What Is Vibe Coding?

Vibe coding means creating software mainly through natural language prompts instead of writing each line of code yourself. The user explains the result they want, while the AI decides how to build it.

The term was introduced by AI researcher Andrej Karpathy in February 2025. In his original explanation, he described accepting AI-generated changes without reading every code difference, copying error messages back into the tool, and continuing until the project worked.

This is different from simply using AI while programming. A developer may ask an AI assistant to write a function, but they still review the output, test it, and understand how it fits into the project.

With vibe coding, the user focuses more on the visible result than the code behind it. This makes software easier to build for beginners, but it also means problems can stay hidden until the project becomes more complex.

How Does Vibe Coding Work?

A vibe coding session usually starts with a simple prompt. The user might ask for a booking page, a customer dashboard, or a tool that turns spreadsheet data into a report.

The AI creates the first version, and the user tests it. They may then ask for changes such as a larger button, a login page, or an error message when a payment fails.

The process normally looks like this:

1. Describe the app or feature.
2. Let the AI generate the code.
3. Run the project and test it.
4. Report errors or request changes.
5. Accept the new version.
6. Repeat until the result looks right.

When an error appears, a beginner may paste the message into the AI tool and ask it to fix the problem. This often works for small issues, but repeated changes can make the project harder to understand.

The AI may solve the latest problem without considering how the change affects older features. This is why a project can feel easy at first and become difficult to manage later.

Vibe Coding vs AI-Assisted Coding

Vibe coding and AI-assisted coding both use artificial intelligence, but the level of human control is different.

With AI-assisted coding, a developer remains responsible for the application. The AI helps with code, debugging, or repetitive tasks, but the developer reviews the work and makes the final decisions.

With vibe coding, the user may accept changes without fully understanding them. The main concern is whether the feature works on the screen.

Simon Willison explains this difference in his article about AI-assisted programming and vibe coding. If someone reviews, tests, and understands the generated code, they are doing software development with AI support rather than pure vibe coding.

What Can You Build With Vibe Coding?

Vibe coding works best for small projects, experiments, and early product ideas.

It can be used to create:

• Landing pages
• Personal websites
• Simple calculators
• Basic dashboards
• Internal forms
• Small browser tools
• Early app prototypes
• One-off automations
• Simple games

For example, a business owner could build a dashboard that imports a spreadsheet and shows monthly sales. A founder could create a rough version of an app to test with potential customers.

These projects are a good fit because they can provide value without needing a large technical setup. The risk is also lower when the tool is private and does not handle sensitive information.

More complex systems need much more than a working interface. Real custom software projects may also need databases, APIs, access controls, background tasks, monitoring, and a reliable deployment process.

Why Is Vibe Coding So Popular?

The main reason is that vibe coding lowers the barrier to building software.

Traditional programming takes time to learn. A beginner may need to understand languages, frameworks, databases, servers, and deployment before creating a useful application.

AI allows people to start with the result they want. Founders, designers, marketers, and business owners can test an idea without first becoming developers.

Experienced programmers also use vibe coding for quick experiments, temporary scripts, or rough interfaces. It can save time when the code does not need to support a large product.

The process also gives immediate feedback. The user asks for something, sees the result, and continues shaping it through prompts.

The difficult part often appears after the first version. Adding features is easy when the project is small, but fixing edge cases, protecting data, and keeping the code easy to update require more care.

Where Vibe Coding Goes Wrong

Vibe coding usually becomes a problem after many rounds of changes.

The AI may create a new solution instead of improving the existing one. This can leave the project with duplicate functions, conflicting logic, or several different ways of doing the same task.

Common issues include:

• Features breaking after unrelated updates
• Missing input validation
• Weak user permissions
• Exposed API keys
• Outdated packages
• Poor error handling
• Placeholder code left in the project
• Slow database queries
• Missing automated tests
• Code that is difficult to maintain

AI tools usually focus on the latest prompt. They may fix the visible error without checking the effect on the rest of the application.

A security study on vibe-coded applications found problems such as exposed secrets, unfiltered input, and unfinished placeholder logic. Better prompts reduced some issues, but they did not remove the need for proper security checks.

Is Vibe Coding Safe?

Vibe coding can be safe enough for small, private tools that do not handle sensitive information.

The risk increases when an application deals with:

• Passwords
• Payments
• Customer records
• Private documents
• Business data
• User roles
• Paid APIs
• Medical or financial information

A login page may appear to work while storing passwords incorrectly. A dashboard may hide an admin button but still allow a normal user to access restricted data through the backend.

These problems are not always visible during normal testing. Someone needs to check how the application validates requests, stores information, and controls access.

A multi-gateway payment system, for example, needs transaction checks, fraud prevention, webhook validation, and protection against duplicate payments. The checkout page is only one part of the system.

For projects involving private data or money, AI-generated code should always be reviewed before launch.

Can Vibe Coding Be Used for Production Software?

Vibe-coded software can be used in production after it has gone through the same checks as any other software project.

Before launch, the application should have:

• Secure authentication
• Correct user permissions
• Input validation
• Automated tests
• Error logging
• Backups
• Monitoring
• Rate limits where needed
• A reliable deployment process

The project should also be checked for unnecessary API calls, slow database queries, and services that could create unexpected costs.

A production AI-powered SaaS needs more than an AI feature. It may also require accounts, payments, file checks, usage limits, background processing, and status updates.

AI can help create parts of the product, but someone still needs to understand how the full system works.

How to Use Vibe Coding More Safely

Vibe coding works better when the project stays controlled and each change can be checked.

Start with a small feature

Do not ask the AI to build an entire marketplace or payment platform in one prompt. Begin with one feature and test it before adding more.

Use version control

Save the project in Git and create regular commits. This gives you a way to return to an older version when a generated change breaks something.

Review the changes

Check which files were edited and ask the AI to explain unfamiliar code. Do not accept important changes only because the interface looks correct.

Add tests early

Tests can catch problems when a new feature affects older parts of the project. Focus on login, permissions, payments, and important calculations.

Protect private credentials

Keep API keys, database passwords, and payment credentials outside the codebase. Use environment variables or a secret management service.

Test failure cases

Try invalid passwords, missing files, duplicate payments, expired links, and interrupted connections. Real users will not always follow the perfect path.

Set limits

Add usage and billing limits to paid APIs. A broken loop can create thousands of requests before anyone notices.

Get a developer review

A professional review can find security, performance, and structural problems before the application becomes harder to repair.

When Should You Bring In a Developer?

A developer should get involved when the project starts becoming important to the business.

Common warning signs include:

• Bugs return after every update
• The AI keeps adding temporary fixes
• Nobody understands the database
• The app slows down as more data is added
• Payments behave inconsistently
• Users can access the wrong information
• Deployment depends on manual steps
• The project has no tests
• The AI can no longer fix the problem

Not every project needs a full rebuild. A developer may be able to clean up the code, improve the structure, add tests, and fix the main security issues.

Xola Software provides custom web development for web applications, APIs, and automation tools. This can include reviewing an AI-generated prototype, cleaning up an existing codebase, or rebuilding the parts that cannot support real users.

Vibe Coding Is a Good Way to Start

Vibe coding makes it easier to turn an idea into something people can test. It is fast, accessible, and useful for small tools or early prototypes.

The problems begin when nobody checks what is happening behind the interface. Once the application handles customers, private data, or payments, the code needs proper testing and review.

Vibe coding can prove that an idea is worth building. Professional development turns that idea into software a business can rely on.

Frequently Asked Questions

What does vibe coding mean?

Vibe coding means building software by describing what you want to an AI tool and accepting much of the generated code without reviewing every detail.

Who invented the term vibe coding?

Andrej Karpathy introduced the term in February 2025. He used it to describe a relaxed workflow where an AI generates the code and the user guides the result through prompts.

Do you need coding experience for vibe coding?

No. Someone without programming experience can use vibe coding tools to create a simple website or prototype.

Coding knowledge becomes more important when the project handles payments, accounts, or private information.

What tools are used for vibe coding?

People use AI code editors, coding agents, and browser-based app builders. Some tools edit a normal codebase, while others generate and host the application.

Is vibe coding the same as no-code development?

No. No-code platforms use controlled visual components and predefined features.

Vibe coding generates actual code from natural language prompts. This gives the user more flexibility, but it can also create more technical problems.

Can a vibe-coded app be used in production?

Yes, after the code has been reviewed, tested, and prepared for real users. It also needs monitoring, backups, secure access controls, and a maintenance plan.

Is vibe coding secure?

It can be safe for small and private tools. Applications that handle accounts, money, or sensitive data need a proper security review.

Can a developer fix a vibe-coded app?

In many cases, yes. A developer can review the code, remove duplicate logic, fix security issues, and add tests.

A rebuild may be necessary when repeated AI changes have made the original code too difficult to maintain.