Vibe Coding: What It Is and How Businesses Can Use It Right

Just a few years ago, building a small internal tool, a website calculator or an app prototype meant hiring a developer or at least knowing your way around code. Today you can describe in plain words what you want, and a language model writes the code, fixes errors and even deploys the project. This approach is called vibe coding.

It sounds like magic, and it really is changing how digital products get built. But it has a less glamorous side too: code nobody has read, security holes, lock-in to a single tool and projects that are hard to maintain a month later. The difference between a successful experiment and an expensive problem lies in how you use the tools.

In this guide we cover:

• what vibe coding is and where the term came from;
• which vibe coding tools are used in 2026 and how to choose between them;
• how to go from an idea to a working prototype, step by step;
• the pros and cons of the approach;
• when it fits a business and when proper development is the better choice;
• how to handle security, privacy and maintenance.

What is vibe coding

Vibe coding is a way of building software where a person describes what they want in natural language and an AI model writes the code. Instead of writing functions and hunting bugs yourself, you run a conversation: explain the idea, check the result, ask for fixes and move on. In the extreme case, whoever works this way never reads the code at all and only looks at the outcome.

Where the term came from

The term was coined by Andrej Karpathy, an AI researcher and one of the co-founders of OpenAI, in a post on X in February 2025. He described a way of working where he barely touches the keyboard: he talks to an AI-powered code editor, accepts all changes without reading them, and when an error shows up he simply pastes it back into the chat. He himself stressed that this style suits weekend projects and prototypes, not serious products.

The term caught on fast. Within a few months it moved from the developer community into the business world, and Collins Dictionary named vibe coding its Word of the Year for 2025. Today it is also used more broadly: any software building where most of the code is written by AI.

Vibe coding vs. AI-assisted development

It is important to distinguish between two approaches that sound similar:

• Vibe coding in the original sense. You do not read the code, you accept every change and only check whether "it works". Very fast, but nobody really knows what is inside.
• AI-assisted development. A developer uses the same tools but reads, understands and checks every change before it goes into the project. AI saves typing and research, and responsibility stays with the human.

For a business, this distinction is critical. A prototype to show an investor can be built with pure vibe coding. A system that takes payments or stores customer data has to go through the full professional development process, even if most of the code is written with AI.

Vibe coding tools in 2026

The market changes almost every month: new tools appear, prices and limits get updated, and new models replace old ones. So it pays to know the categories of tools, not just the names, and to check terms and pricing on the official site before committing.

Browser-based app builders

Tools like Lovable, Bolt, Vercel's v0 and Replit work right in the browser. You type what you want, see a live preview and deploy the project with one click. Many of them also connect to database and user sign-up services.

This is the easiest entry point for non-developers: nothing to install, and results show up fast. The downside is limited control over the code and infrastructure, and it can be hard to take the project off the platform and keep developing it elsewhere.

AI code editors

Cursor, Windsurf and GitHub Copilot in Visual Studio Code are code editors where the AI understands the whole project, can edit several files at once, run commands and fix errors. In "agent" mode you can hand them an entire task, for example "add a contact form with field validation", and they carry it out step by step.

These tools suit people willing to install software and work with folders and files. They give far more control than app builders, but they also require a basic understanding of how a project is structured.

Terminal and cloud coding agents

Anthropic's Claude Code and OpenAI's Codex are agents that work from the terminal or a cloud environment. You give them a task, and they read the code, plan, write, run tests and open a pull request on GitHub. Devin takes a similar approach and plugs into team tools such as Slack and the task tracker.

These are very powerful tools, but they are aimed mainly at developers. Anyone unfamiliar with the terminal and Git will struggle to understand what the agent did and why.

AI inside website platforms

Platforms like Webflow, Wix and WordPress have added AI features too: generating pages, sections, copy and sometimes custom code. The advantage is that the result stays inside a familiar content management system, with hosting, security and a visual editor your marketing team already knows. For a corporate site or a landing page, this is usually a safer choice than an app built from scratch.

How to choose a language model

Most tools let you choose between several models from OpenAI, Anthropic, Google and others. Names and versions change quickly, so there is no point memorizing them. A few rules that hold up over time:

• Check current rankings. Sites like LMArena compare models in real time and let you filter by coding tasks.
• A strong model for planning, a fast one for small fixes. To build a new feature, use the strongest model you have. To change a color or a line of text, a cheap and fast model is enough.
• When a model gets stuck, switch it. Sometimes a different model finds in a minute the fix for a bug the previous one circled for half an hour.

Vibe coding in practice: from idea to prototype

To see how it works, let's take a business example: a renovation contractor wants a calculator on their website where the customer picks the type of work, the area and the finish level, and gets an estimated price range plus a button to send an inquiry via WhatsApp. Here is what building it with vibe coding looks like.

Step 1: Write a short spec

Before opening any tool, write half a page in a regular document: what the tool does, who the user is, which fields it has, how the price is calculated, what happens at the end and how it should look. The more detailed the spec, the less the model makes up. Whatever you do not define, the model will decide for you, and not always the way you would like.

Step 2: Choose a tool based on the goal

For a simple calculator embedded on a website, a browser-based app builder or an AI code editor is enough. If the calculator needs to save inquiries to a database or send them to a CRM, choose a tool from the start that lets you export the code and keep working on it without depending on the platform.

Step 3: The first prompt

The first prompt should include everything that matters. For example: "Build a renovation quote calculator. Fields: type of work (kitchen, bathroom, full apartment), area in square meters and finish level (basic, standard, premium). Show a price range based on a price table I will attach. At the end, show a button that opens WhatsApp with a summary of the selections. Clean design, mobile-friendly, with sufficient color contrast for accessibility." You prepare the price table, not the model.

Step 4: Test and fix in rounds

The first version is almost never perfect. Open it on a phone and a computer, try extreme values (zero area, a huge area, empty fields) and check that all text displays correctly. Describe each problem to the tool in a separate, clear request: "When the area is empty, the calculator shows NaN. Show a message asking the user to enter an area." When a technical error appears, paste it in as is. Usually a few rounds get you a stable version.

Step 5: Save versions

Before every big change, save a working version: in Git, in the tool's version history or at least as a copy of the folder. A model fixing one bug can break two other things, and without a saved version it is hard to roll back.

Step 6: Review before launch

Before the calculator goes live on your site, someone who understands code needs to look at it: no exposed keys or passwords, no data sent to an unknown service, the code does not slow the site down and it works with screen readers. If the tool touches customer data, this step is mandatory, not a recommendation.

Pros and cons of vibe coding

Like any approach, vibe coding is great for some tasks and poor for others. It is worth knowing both sides before you decide.

The pros

• Speed. A prototype that used to take weeks gets built in hours or days. You can show an idea to a client or an investor before investing in full development.
• Cheap idea testing. You can build three versions of a tool, see which one works and invest only in that one.
• Less dependence on a developer early on. A business owner or product manager can show a developer exactly what they want instead of describing it in a document.
• Freedom from grunt work. Even for professional developers, AI saves time on writing tests, documentation, format conversions and fixing simple bugs.

The cons

• Code nobody understands. If you have not read the code, you will not know how to fix it when something breaks, and the model will not always manage it for you.
• Security. Models tend to write code that works, not necessarily code that is secure. API keys inside the code, a database open to everyone and missing input validation are common mistakes.
• Hallucinations. A model may use a library that does not exist, a function that was removed or an old version of a service. Sometimes this only surfaces at launch.
• Trouble with large projects. The bigger the project, the harder it is for the model to stay consistent. A project of a few dozen files built without a clear structure quickly turns into a tangle.
• Costs that add up. Subscriptions, credits and use of powerful models can add up to a significant sum, especially when the model gets stuck and tries again and again.

When vibe coding fits a business and when it does not

The right question is not "should we use AI to write code" but "what is the risk if this code fails". The lower the risk, the more freedom you can give the AI.

A good fit

• Prototypes and demos. Testing a product idea, showing a client what a tool will look like, collecting feedback before development.
• Small internal tools. A report that combines data from several files, an internal form for the team, a script that organizes files. If the tool breaks, no customer is affected.
• Marketing experiments. A calculator, quiz or mini-game for a time-limited campaign. Sketch the screens first so the model gets a clear picture.
• Simple connections between systems. In some cases a visual automation tool is the better choice. You can read about the differences in our guide to n8n.

A poor fit, or a fit only with professional support

• Anything involving payments. Payment processing, invoices, subscriptions. A mistake here costs money and trust.
• Customer personal data. Privacy laws such as the GDPR impose strict obligations and heavy penalties on businesses that hold personal data. A system built without security planning can expose the business to legal risk.
• The main business website. A site that brings in leads has to be fast, accessible according to WCAG, SEO-optimized and easy to update without a developer. If you are considering a site built entirely with AI, first read about the signs that a website looks cheap.
• Systems the business depends on. CRM, inventory management, orders. Here stability, backups and someone responsible for maintenance matter.

Multilingual and RTL: always worth checking

Most tools and models were trained mainly on English-language interfaces. Even when you ask for another language, especially a right-to-left one like Arabic or Hebrew, the layout may stay left-to-right, arrows and punctuation may flip, or numbers and English words inside a sentence may appear in the wrong order. Specify the language and text direction from the start and check every screen with your own eyes, especially forms and tables.

Security, privacy and maintenance

This is where most of the risk in vibe coding lies. An app that works in a demo can be wide open, and the business owner will not know until it is too late.

Secrets and keys

API keys, passwords and tokens must never appear in code that runs in the browser or in files pushed to GitHub. Keep them in server-side environment variables. Explicitly ask the model to work this way, and check for yourself that it did.

Data access permissions

If the app uses a database, make sure each user sees only their own data. In tools like Supabase, which many app builders connect to, this is done with Row Level Security rules. When they are not configured, anyone who knows the address can read the entire table.

Libraries that do not exist

Models sometimes make up names of code packages. Attackers already exploit this: they register packages under names models tend to invent and put malicious code inside. Before installing a package, check that it exists, is maintained and is widely used.

Permissions for the agent itself

A coding agent working on your computer can delete files, run commands and access the network. Limit it to the project folder, approve sensitive commands manually and do not connect it to production accounts without need. We wrote about similar principles for building business agents in our guide to AI agents for business.

Maintenance after launch

Code needs updates: libraries go stale, browsers change, external services switch versions. Before launch, decide who is responsible for the tool, where the code is stored and how you get alerted when something breaks. Short documentation, even a README file the model wrote itself, will save a lot of time down the road.

Vibe coding tips and common mistakes

Tips that work

• Describe in detail. Technologies, functions, output format, security and accessibility requirements. Whatever you leave undefined, the model will invent.
• Break big tasks down. First one screen, then a form, then the database connection. A small, well-defined task succeeds far more often than "build me a system".
• Keep standing instructions. Most tools support a project instructions file (such as rules or an agent instructions file): language, code style, allowed libraries, localization and RTL requirements. That way you do not have to repeat the same things in every request.
• Ask for explanations. After every big change, ask the model to explain in plain words what it did and why. It is a good way to understand the code without reading every line.
• Ask for tests. Ask the model to write automated tests for the important functions and run them after every change.

Mistakes to avoid

• Approving everything without checking. Fine for a weekend project, dangerous for anything customers use.
• Endless fixes in the same conversation. When a conversation gets very long, the model starts mixing up context. Sometimes it is better to start a new conversation with a short summary of where things stand.
• Building from scratch what already exists. Contact forms, blogs and stores have ready-made, stable solutions. Vibe coding pays off mainly for the parts that are truly unique to your business.
• Feeding sensitive data to the tool. Do not paste customer lists, passwords or internal documents into the chat, and check the data usage terms of the tool and your plan.
• Skipping accessibility and SEO. AI-generated code looks good on screen but does not always include proper tags, alt text for images and keyboard navigation.

How RJL Studio uses AI in development

At RJL Studio we work with AI development tools every day, but always as AI-assisted development, not blind vibe coding. AI helps us build prototypes, custom code for Webflow and WordPress, system integrations and automations faster, and every line that goes live is reviewed by a person: security, performance, accessibility, localization and RTL.

If you have already built a prototype yourself and want to turn it into a stable product, or you are wondering whether your idea suits vibe coding or proper development, we are happy to help. Read about our automation and integration services or get in touch and we will get back to you for a short call.

Vibe coding FAQ

Do you need to know how to code to do vibe coding?

To build a simple prototype, no. Browser-based app builders let you reach a working result from a description in words alone. But to understand what was built, fix problems and launch something secure, basic familiarity with code, or a developer supporting the project, makes a big difference.

Will vibe coding replace developers?

It changes developers' work but does not eliminate it. A large share of code is now written with AI, and at the same time the need is growing for people who can design a system, review code, handle security and maintain products over time. A developer who works with AI gets more done and does not become redundant.

How much does vibe coding cost?

Most tools have a free plan with limits and paid monthly plans, and some also charge per model usage. Prices change often, so check them on each tool's official site. For a business project, also account for testing time, hosting and maintenance, not just the subscription.

Can you build a business website with vibe coding?

You can build a simple site or a landing page this way, but for a company's main website a platform like Webflow or WordPress is usually the better choice. There you get a content management system, secure hosting, SEO tools and the ability to update content without touching code. Vibe coding is better suited to special components within the site, such as a calculator or an interactive tool.

Is it safe to upload your business code to an AI tool?

It depends on the tool and the plan. On many business plans, vendors commit not to use your code to train models, but read the terms of use and check your company's policy. In any case, do not upload passwords, keys or customer personal data, and give the agent access only to what it actually needs.