What Vibe Coding Actually Is
Vibe coding is building software by talking to AI. You describe what you want — "make me a landing page with a signup form" or "build a budget tracker app" — and AI generates the code. While you don't need to write the syntax yourself, you do need to understand the high-level structure of what is being built. You must describe the result you want clearly enough for AI to generate it, and take responsibility for verifying that it actually works safely.
This can shorten the path to a prototype, especially for someone who has never programmed. It also creates real limitations: generated code can be incomplete, insecure, or hard to maintain. Understanding those limits is the difference between testing a useful draft and mistaking a polished interface for a working system.
Vibe coding is useful for prototypes, personal tools, simple web apps, and exploring ideas. It does not remove software engineering work; the amount of review needed depends on who will use the app and what could go wrong.
AI can suggest and draft the app, but you decide what to use and you own what you publish. Before sharing anything, check that it behaves as intended, understand where its data goes, and get qualified help when mistakes could affect other people.
The Tools
These are the tools designed specifically for building software through description. Each has a different strength.
Claude (claude.ai)
Claude is one conversational starting point for self-contained prototypes. You describe what you want, review the generated code and explanation, and can preview supported outputs as Artifacts in the chat.
- Best for: Planning your project, generating code for specific features, understanding what's going on when things break, building self-contained web pages and components
- How it works: You chat with Claude. Ask for what you want. It generates code. You can ask it to change things, fix problems, or explain decisions.
- Key advantage: Claude explains what it's doing and why, which helps you learn and make better requests over time. It's also honest about limitations.
v0 (v0.dev)
Built by Vercel. You describe what you want, and v0 can generate UI or a larger web application project that can be published to Vercel.
- Best for: Building web interfaces and Vercel-hosted application prototypes, especially when design quality matters.
- Limitation: Integrations, data access, authentication, and production deployment still need review and secure configuration.
Bolt (bolt.new)
A full in-browser development environment. You describe what you want, and Bolt creates a project with its dependencies and a live preview. New projects can be published through Bolt hosting to a .bolt.host URL by default.
- Best for: Full applications that need more than just a UI. It sets up the project structure, installs packages, and creates working code.
- Limitation: Bolt gives you a lot of code at once. When something breaks, it can be hard to figure out which part went wrong.
Lovable (lovable.dev)
Similar to Bolt, with a focus on making the process feel more guided. You describe your app, and Lovable generates it step by step.
- Best for: Creating and publishing web app prototypes with a guided workflow and optional integrations.
Replit Agent
AI agent built into the Replit coding platform. You describe what you want, and the agent builds and previews it within Replit. When it is ready to share, publishing creates a separate public deployment.
- Best for: Going from idea to an application with server-side capabilities and a Replit publishing workflow in one place.
- Limitation: Tied to the Replit platform. If you want to move your project elsewhere later, it can be complicated.
Which One Should You Start With?
If you've never built anything with AI, a conversational tool such as Claude can help you learn the describe–review–refine loop. Once the requirements are clear, compare Bolt, Lovable, Replit, and v0 based on the runtime, data, deployment, and ownership needs of the project.
How to Describe What You Want
A clear description improves the draft, but output quality also depends on the model, project context, tools, and your verification. Describing the intended behavior and constraints is still a core skill.
Bad Descriptions vs Good Descriptions
Make me a website for my business.
This will produce something generic and probably wrong. AI doesn't know what your business does, who your customers are, what pages you need, or what style you want.
I run a dog grooming business called "Happy Paws" in Stockholm. I need a simple website with:
- A homepage with our services (wash, trim, full grooming) and prices
- A photo gallery
- A contact page with our address, phone number, and a contact form
- Opening hours in the footer of every page
- Clean, friendly design with warm colors. Think welcoming, not corporate.
The difference is specificity. AI cannot read your mind. Details reduce ambiguity, but they do not guarantee correct implementation; treat the result as something to inspect and test.
The Description Checklist
Before giving AI a description, make sure you've covered:
- What is it? — "A budget tracking app" / "A landing page for my consulting business" / "A recipe organizer"
- Who uses it? — "Just me" / "My team of 5" / "Anyone who visits the website"
- What can users do? — List every action. "Add expenses, categorize them, see monthly totals, export to CSV"
- What does it look like? — "Minimal, dark theme" / "Colorful, playful" / "Professional, like a bank website". Reference a site you like if possible.
- What pages or screens does it have? — List them. "Home, dashboard, settings, login"
- Does it need accounts? — "No, just me" / "Yes, users sign up with email"
- Does it need to save data? — "Yes, I add recipes and they should still be there next week"
Pro Tip: Start With One Screen
Don't describe the entire app at once. Start with the main screen — the one the user sees most. Get that right, then add the next screen. Building incrementally produces much better results than trying to describe everything in a single message.
The Iterative Process
Vibe coding is not one-shot. You won't describe a project once and get a perfect result. The real process is iterative:
Describe the first version
Start simple. Get the basic structure and main screen working.
Review what AI built
Click through it. Try everything. Does it work? Does it look right? What's missing?
Ask for specific changes
"The header is too big. Make it smaller." "Add a delete button on each item." "Change the blue to green." Be specific about what to change.
Repeat
Keep reviewing and refining. Each round gets closer to what you want.
Expect several rounds of refinement for a non-trivial project. The number varies with scope and tool, so use working behavior and test evidence—not a round count—as the stopping rule.
Common Traps
These are the mistakes that waste time and produce bad results. Knowing about them in advance saves you hours of frustration.
"It Looks Right So It Must Work"
The most dangerous trap. AI is excellent at producing things that look professional and functional at first glance. A login form that looks perfect but doesn't actually check passwords. A dashboard that displays data beautifully but pulls from hardcoded examples instead of real data. A checkout flow that feels real but never processes a payment.
Always test the functionality, not just the appearance. Fill out forms. Click every button. Try to break it by entering weird data. If there's a login system, try logging in with a wrong password — does it actually reject you?
"Make It All At Once"
Describing a complex application in one message almost always fails. AI generates too much code at once, the pieces don't fit together well, and when something breaks you have no idea which part caused it.
Build one feature at a time. Get the first feature working. Test it. Then add the next one. This is slower per feature but dramatically faster overall because you catch problems early.
"I Don't Understand It But It Works"
If you don't understand at a high level what AI built, you can't fix it when it breaks. And it will break — every software project has bugs eventually.
You don't need to understand every line of code. But you should understand the structure: "There's a login page, a main dashboard, and a settings page. Data is stored in a database. When I add an expense, it goes into the database and shows up on the dashboard." If you can't describe the flow in plain language, ask AI to explain it before moving on.
"AI Will Handle the Security"
AI-generated code frequently has security problems that aren't visible from the outside. If your project handles user accounts, payments, or any personal information, the security of the generated code matters — and you probably can't evaluate it yourself.
For anything that handles real user data or money, arrange a risk-appropriate review by someone qualified to assess the implementation. Scope and depth matter more than an arbitrary one-hour appointment.
"Why Did It Break After I Made One Change?"
You asked for a small change, and suddenly the whole app is broken. This happens because AI sometimes regenerates large sections of code to make a small change, and the new version doesn't match the old version correctly.
Prevention: When asking for changes, be specific: "Change only the header color from blue to green. Don't modify anything else." The instruction to not touch other parts is important — without it, AI might "improve" things you didn't ask it to change.
Before asking for any significant change, save a copy of the working version. If the change breaks things, you can go back to the version that worked. In tools like Bolt and Replit, look for version history or use the undo feature. In Claude, you can always go back to an earlier message in the conversation.
Before you share your app or start storing real data, check these four things:
- Test the main flow and failure cases — Log in with a wrong password. Submit an empty form. Enter unexpected input. Does the app handle it gracefully?
- Save a working version before every change — Keep a copy of anything that works. You will need it sooner than you expect.
- Never share secrets — API keys, passwords, and private credentials should never appear in code you paste into a chat window or share publicly.
- Get qualified review for accounts, money, or sensitive data — The reviewer must be able to assess the actual authentication, authorization, payment, privacy, and deployment controls.
When You've Hit the Limits
Vibe coding has real boundaries. Knowing where they are prevents you from spending days fighting something that can't be solved this way.
Vibe Coding Works Well For
- Landing pages and marketing websites
- Simple CRUD apps (add, view, edit, delete data)
- Personal tools and dashboards
- Prototypes to test an idea before investing
- Internal tools for small teams
- Static sites, portfolios, blogs
- Simple games and interactive demos
Vibe Coding Struggles With
- Complex integrations — Connecting to payment systems, third-party APIs, or multiple external services
- Real-time features — Live chat, collaborative editing, real-time notifications
- Scale — Applications that need to handle thousands of simultaneous users
- Complex business logic — Multi-step workflows, approval chains, complex calculations
- Security-critical applications — Anything handling financial data, health records, or sensitive personal information
- Mobile apps — Native iOS/Android apps are significantly harder to vibe code than web apps
Signs You Need a Developer
If you hit any of these, it's time to involve a professional:
- The app handles real money or payment processing
- You're storing sensitive user data (health, financial, personal)
- You've been going in circles for days and the same bug keeps coming back
- Performance is bad and AI can't fix it
- You need to connect to a complex external system (bank APIs, government systems, enterprise tools)
- The project has grown from "simple tool" to "actual business product"
This isn't a failure. A vibe-coded prototype that proves your idea works is exactly the right thing to show a developer when you hire them. You'll save time and money because they can see what you want instead of guessing.
Your First Project
The best way to learn vibe coding is to build something you actually want. Here's a simple project that teaches you the core workflow without overwhelming you.
Build: A Personal Bookmark Page
A single page that displays your favorite links, organized by category. No accounts, no database, no backend — just a clean page you can open in your browser.
Open Claude.ai
Start a conversation. This is your building tool.
Describe the page
"Create an HTML page that displays my bookmarks organized by category. Categories: Work, Learning, Fun. Use a clean dark design. Each bookmark shows a title and the URL. Add 3 example bookmarks per category so I can see how it looks."
Review the result
Claude creates an Artifact you can preview. Does it look right? Is the layout what you expected?
Refine
"Make the category headers larger. Add a subtle border between categories. Change the font to something more modern." Keep asking for changes until you're happy.
Add your real bookmarks
"Replace the example bookmarks with these: [paste your actual links]"
Save it
Copy the code from the Artifact, save it as a file called bookmarks.html on your computer, and open it in your browser. You just built a web page.
This is deliberately small and teaches the core cycle: describe → review → refine → save. Your completion time will depend on the tool and the changes you request.
Vibe Coding — Summary
- Start with a conversational prototype — Use explanations and previews to learn the review loop before choosing a fuller app builder.
- Be specific in descriptions — State what it is, who uses it, what they can do, and what constraints matter; then verify the implementation.
- Build incrementally — One screen or feature at a time, with a test and a saved working point between changes.
- Test everything — Click every button, fill out every form, try to break it. Looking right is not the same as working right.
- Save working versions — Before making significant changes, save what works.
- Know the limits — Vibe coding is great for prototypes, personal tools, and simple apps. For payments, security, or scale, involve a developer.
- A prototype is valuable — Even if your project outgrows vibe coding, the prototype you built saves time and money when you work with a developer.
Related Guides
Which Vibe Coding Tool Should You Use?
Claude, Bolt, Lovable, Replit, or v0: choose the right tool based on your project type and constraints.
A Day of Vibe Coding
See the full process in practice: from first description to a working, tested, deployed app.
7 Vibe Coding Mistakes That Waste Your Time
The most common pitfalls that slow beginners down, with concrete fixes for each.