What Is Vibe Coding? Meaning, Tools, Examples and Risks

Quick answer: Vibe coding is a way of building software by describing what you want to an AI in plain language and letting it write the code, while you focus on the result rather than the code itself. The term was coined by AI researcher Andrej Karpathy in February 2025. It is excellent for prototypes, personal tools and simple websites, but anything that handles user data, payments or logins still needs human review, testing and security checks.

What is vibe coding?

Vibe coding is an AI-assisted approach to programming where you express intent in natural language (“add a dark mode toggle”, “the total is wrong when I enter zero”) and an AI model generates, edits and often runs the code. Instead of typing code line by line, you steer by describing outcomes and reacting to what you see.

The name comes from a post by Andrej Karpathy, an OpenAI co-founder and former head of AI at Tesla, in February 2025. He described giving in to the vibes and forgetting that the code even exists: you see something, say something, run it, paste in errors, and it mostly works. The phrase spread quickly. Merriam-Webster added it to its “slang and trending” list within weeks, and Collins English Dictionary later named it a word of the year for 2025.

Vibe coding vs AI-assisted programming

People use “vibe coding” loosely, but there is a useful distinction that many developers make:

	Pure vibe coding	AI-assisted programming
Reading the code	Rarely or never	Always reviewed before it ships
Who is responsible for correctness	“It works when I click around”	The developer, with tests
Typical user	Non-programmers, hobbyists, rapid prototyping	Professional developers
Best for	Throwaway prototypes, personal tools, simple sites	Production software
Main risk	Hidden bugs and security holes	Slower, but safer

Most real projects sit in between: you let the AI write most of the code, but you test it properly, keep versions, and get a knowledgeable review for anything risky.

Vibe coding vs traditional coding vs no-code

	Traditional coding	No-code builders	Vibe coding
How you build	Write code by hand	Drag and drop components	Describe in words; AI writes code
Skills needed	Programming languages	The builder’s interface	Clear communication and testing
Flexibility	Unlimited	Limited to the platform	High, since real code is produced
Speed to prototype	Slow	Fast	Very fast
Ownership	You own the code	Often tied to the platform	Usually you own the code
Maintenance	Depends on code quality	Handled by platform	Can get messy without structure

How vibe coding works: the loop

1. Describe: tell the AI what you want to build, for whom, and what “done” looks like.
2. Generate: the AI writes the code, sometimes across many files, and may run it for you.
3. Run and look: open the result in a browser or app and try it like a user would.
4. React: describe what is wrong or missing, paste error messages, or ask for the next feature.
5. Repeat: each round moves the project forward in small steps.

The skill that matters most is not syntax. It is being precise about what you want and noticing when something is subtly wrong.

Types of vibe coding tools

Type	What it does	Examples	Best for
AI app builders	Browser-based: describe an app and get a running version with hosting	Replit, Lovable, Bolt, v0	Non-programmers and fast prototypes
Conversational assistants	Chat that writes code you copy, often with live previews	ChatGPT, Claude, Gemini	Single pages, snippets, learning
AI-native code editors	Editors built around AI that edit your project files	Cursor, Windsurf	Growing projects with many files
Coding agents	Agents that plan, edit files, run commands and tests in your project	Claude Code, GitHub Copilot agent mode, OpenAI Codex	Multi-step work on real codebases
Code completion	Suggests the next lines as you type	GitHub Copilot and similar	Developers who still write code

Tools change quickly, so pick based on how much control you want: app builders hide the most, coding agents give you the most.

What can you build with vibe coding?

• Websites and landing pages: portfolios, business sites and campaign pages. See how to create a landing page with AI.
• Calculators and tools: tip, mortgage, paint or GPA calculators are ideal first projects. See how to build a calculator website with AI.
• Internal tools: dashboards, simple trackers, spreadsheet automations.
• Prototypes: test a product idea with real users before investing in full development.
• Games and interactive demos: simple browser games and visualizations.
• Scripts: file renaming, data cleanup, report generation.

A worked example: vibe coding a tip calculator

Here is what a realistic session looks like for a small, safe project.

Round 1: the brief

Build a single-page tip calculator in HTML, CSS and plain JavaScript.
Inputs: bill amount, tip percentage (buttons for 15, 18, 20, 25 plus custom),
number of people. Show tip amount, total, and total per person.
Update results as I type. Mobile-friendly, large tap targets, clean design.
Round money to 2 decimals.

Round 2: testing like a user

You try a $100 bill at 20% for 4 people and expect $20 tip, $120 total, $30 each. It works. Then you try an empty bill field and see “NaN”. You reply:

When the bill is empty or zero, show $0.00 everywhere instead of NaN.
If people is 0 or blank, treat it as 1.

Round 3: polish

Add a "round up total" toggle, remember the last tip % in localStorage,
and add a short "How tipping works" section below with an example.

Round 4: checks before publishing

Review this code for bugs, accessibility problems (labels, focus states,
screen reader announcements) and anything that would break on older phones.
List issues first, then fix them.

Four short rounds, a working and tested page. The same approach scales to bigger projects, as long as you keep each round small and test after every change.

How to start vibe coding: step by step

1. Pick a small, low-risk first project

Something with no logins, no payments and no personal data: a calculator, a portfolio page, a to-do list for yourself.

2. Choose a tool that matches your comfort level

An AI app builder if you never want to touch files; a chat assistant for single pages; an AI editor or coding agent once your project has several files.

3. Write a clear brief

State the goal, users, features, constraints (languages, no external libraries, mobile first) and what “done” means. Our guide on writing AI prompts covers the principles.

4. Build in small steps

One feature per request. Big “build everything” prompts produce tangled code that is hard to fix.

5. Use version control from day one

Save a working version before each change (Git, or your tool’s checkpoints). When the AI breaks something, you roll back instead of untangling it.

6. Test after every change

Click through the main flows, try strange inputs, and check on a phone. Ask the AI to write automated tests once the project grows.

7. Paste exact errors

Copy the full error message and what you did before it appeared. Vague reports (“it’s broken”) get vague fixes.

8. Ask for explanations

Even if you never write code, ask “explain what this file does in plain English”. Understanding the structure makes you much better at steering.

9. Review before you ship

Ask the AI for a security and bug review, and get a developer to look at anything that stores data, handles money or has user accounts.

Prompting tips for vibe coding

• Start with the goal and user: “A page where a restaurant customer can split a bill” beats “a calculator”.
• Give constraints: language, framework, no external libraries, performance or accessibility requirements.
• Describe behavior, not code: “when I click save with an empty title, show an error under the field”.
• Keep a project brief file: a short README describing the app, its rules and conventions that you paste or keep in the project, so every session starts with context.
• Ask for a plan first on bigger changes: “outline the changes you’d make, then wait for my OK”.
• Protect what works: “don’t change the layout or the calculation logic; only add the export button”.

Benefits of vibe coding

• Speed: ideas become working prototypes in hours instead of weeks.
• Accessibility: people without programming training can build real tools.
• Less boilerplate: developers spend less time on repetitive setup.
• Learning: seeing working code for your own idea is a fast way to understand programming.
• Collaboration: designers, marketers and founders can prototype without waiting for engineering.

Risks and limitations

Security

AI-generated code frequently contains vulnerabilities such as injection flaws, exposed secrets, missing access controls and unsafe input handling. Industry studies in 2025, including Veracode’s research on AI-generated code, found security flaws in a large share of samples, and security did not improve as fast as functionality. Apps built without review have exposed user data after launch.

Destructive actions

Agents that can run commands can also delete files or data. In one widely reported 2025 incident, an AI agent on a coding platform deleted a company’s production database despite instructions not to touch it. Keep backups, separate test and live data, and limit what agents can access.

Maintainability

Code nobody understands becomes hard to change. Many small AI edits without structure lead to duplicated logic and fragile features, a form of technical debt.

Complexity limits

Vibe coding shines on small, well-defined projects. Large systems with many moving parts, integrations and edge cases still need engineering discipline.

Debugging

When something breaks deep in code you have never read, the AI can go in circles. Rolling back to a working version is often faster than more prompting.

Security checklist for vibe-coded projects

• Never put API keys or passwords in front-end code or public repositories; use environment variables.
• Validate and sanitize every user input on the server, not just in the browser.
• Use your platform’s built-in authentication rather than a homemade login.
• Check database access rules so users can only see their own data.
• Keep dependencies updated and remove ones you do not use.
• Ask the AI for a security review, then fix and re-test.
• Have an experienced developer review anything with personal data, payments or accounts before launch.
• Back up data and keep a way to roll back deployments.

When to use vibe coding, and when not to

Great fit	Use with caution	Avoid without expert review
Prototypes and demos	Public websites with forms	Payment and banking features
Personal tools and scripts	Apps with simple user accounts	Medical or legal data
Static sites and calculators	Internal business tools	Security-critical infrastructure
Learning projects and games	Integrations with other services	Large production systems

What vibe coding costs

You can start for free with the free plans of AI assistants and some app builders, and host static sites on free tiers. Heavier use usually means a monthly subscription for an AI coding tool or builder, plus hosting and a domain for anything public. Agents that run for a long time on big projects can use a lot of usage allowance, so start small.

The future of vibe coding

AI coding tools are moving from suggesting lines to carrying out whole tasks: planning, editing many files, running tests and opening pull requests. That makes building faster for everyone, and it shifts the most valuable human skills toward clear specification, product judgment, testing and review. For most people, the realistic future is not “no humans” but humans directing and checking capable AI collaborators. If you want to build a whole site this way, start with how to build a website with AI.

Common vibe coding mistakes and how to fix them

Mistake	What happens	Fix
One giant prompt for the whole app	Tangled code, half-finished features	Build one feature per request and test each
No saved versions	A bad change breaks everything with no way back	Commit or checkpoint every working state
Accepting changes without testing	Bugs pile up unnoticed until launch	Click through the main flows after every change
Letting the AI “fix” in circles	Each attempt adds new problems	Roll back, describe the bug precisely, and try a fresh approach
Secrets in the code	API keys leak through public repos or the browser	Use environment variables and server-side calls
Real customer data in testing	Privacy risk if something goes wrong	Use sample data until the app is reviewed
Vague bug reports	Guesswork fixes that miss the cause	Paste the exact error, steps to reproduce, expected vs actual result
Never reading any code	You cannot judge risk or explain how it works	Ask the AI to explain each file in plain English

Vibe coding with WordPress

You do not have to leave WordPress to benefit. Common patterns:

• Custom blocks and shortcodes: describe a small feature, such as a calculator, pricing table or FAQ accordion, and have the AI package it as a lightweight plugin you install and test on staging.
• Theme tweaks: ask for CSS changes in plain language (“make cards lift slightly on hover and round the images”), then paste them into your theme’s additional CSS.
• Agents connected to your site: newer plugins let an AI agent create pages, adjust settings and publish posts through WordPress itself. They are powerful, so take a backup first and review changes.

This site was built partly this way. For the full setup, see how to build a WordPress website with AI, and if something goes wrong, how to fix WordPress errors with AI.

A second example: a one-page product site

Vibe coding also works well for marketing pages. A realistic sequence:

1. Brief: “One-page site for a meal-prep delivery service in Austin. Sections: hero with order button, how it works, weekly menu, pricing, genuine reviews I’ll paste, FAQ, footer with contact. Warm, modern, mobile first.”
2. Content pass: paste your real menu, prices and reviews and ask the AI to fill the sections without inventing anything.
3. Design pass: “Use a cream background, deep green accent, rounded cards and a serif headline font.”
4. Behavior pass: “Make the order button scroll to the pricing section; add a sticky mobile order bar.”
5. Quality pass: “Check color contrast, image sizes, page speed and meta tags; list issues, then fix them.”

The result is a fast, custom page you own, built in an afternoon rather than weeks.

Handing a vibe-coded project to a developer

If your prototype takes off, you will likely bring in a developer. Make the handoff easy:

• Keep the code in version control with a readable history of what changed and why.
• Write a short README: what the app does, how to run it, where data is stored, which services it uses.
• List known issues and anything you were unsure about, especially around data and security.
• Ask the AI to generate documentation and tests before handoff; they help the developer trust and extend the code.
• Be ready for some rewriting: a prototype proves the idea; production quality may require restructuring.

Vibe coding glossary

• LLM (large language model): the AI model that reads your prompt and generates code or text.
• Prompt: your instruction to the AI.
• Agent: an AI that can take actions, such as editing files and running commands, not just reply.
• Context: everything the AI can see at once: your prompt, files and conversation.
• Version control (Git): a system that saves snapshots of your code so you can undo changes.
• Deployment: publishing your project so others can use it.
• Environment variables: a safe place to store secrets such as API keys outside your code.
• Technical debt: shortcuts in code that make future changes harder.

Who is vibe coding for?

You are…	How vibe coding helps	Where to be careful
A blogger or site owner	Build calculators, quizzes and interactive tools that make your content more useful and linkable	Check every formula and number against a trusted source
A small business owner	Launch a site, booking page or internal tracker without hiring immediately	Customer data, payments and privacy rules
A founder	Prototype and test an idea with real users in days	Plan for a proper rebuild or review before scaling
A designer or marketer	Turn mockups and campaign ideas into working pages	Accessibility, performance and brand consistency
A student or career changer	Learn by building things you care about, and ask the AI to explain	Follow your school’s or employer’s rules on AI use
A professional developer	Skip boilerplate and explore ideas faster	Keep reviewing, testing and owning the code that ships

The common thread: vibe coding rewards people who know what they want, test what they get and stay honest about risk.

Frequently asked questions

Who coined the term vibe coding?

Andrej Karpathy, an OpenAI co-founder and former head of AI at Tesla, in a post in February 2025.

Is vibe coding real programming?

It produces real code, but the human role changes from writing code to specifying, testing and steering. Professionals usually combine it with code review and testing.

Do I need to know how to code to vibe code?

No, you can build simple projects without coding knowledge. Understanding the basics helps a lot with debugging, security and bigger projects.

What is the best tool for vibe coding?

It depends on your comfort level: AI app builders for beginners, chat assistants for single pages, and AI editors or coding agents for multi-file projects.

Is vibe coding safe?

For low-risk projects, yes. For anything with user data, payments or logins, AI-generated code must be reviewed and tested, because it often contains security flaws.

Can I build a business on a vibe-coded app?

Many prototypes start that way, but before real customers and data are involved, invest in review, testing, security and maintainable structure.

Is vibe coding free?

You can start free with AI assistants’ free plans and free hosting tiers. Bigger projects usually need a paid AI tool.

Will vibe coding replace software developers?

It automates much routine coding, but complex systems, security, architecture and accountability still need skilled developers. Their work increasingly includes directing and reviewing AI.