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Vibe Coding for Beginners | How to Build Your Own Web Service with AI Even If You Cannot Code

Vibe coding is a new way of building websites and services by working with AI instead of writing every line of code yourself. This guide explains the entire process from idea planning and AI prompting to building, testing, fixing, and deploying a service.

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Vibe Coding for Beginners | How to Build Your Own Web Service with AI Even If You Cannot Code

“Can I build the website or service I have in mind even if I know absolutely nothing about coding?”

A few years ago, the most common answer would probably have been:

“First, learn HTML, CSS, and JavaScript.”

Today, things are changing.

As generative AI and AI coding tools have improved, people can increasingly describe what they want in everyday language and ask AI to create screens, write code, analyze errors, and modify multiple files.

One term that is frequently used to describe this new style of development is “vibe coding.”

However, there is one important misunderstanding to avoid.

Vibe coding does not mean:

“AI automatically builds a perfect service for you even if you know nothing.”

Instead, the human role is gradually changing from:

“the person who writes every line of code”

to:

“the person who explains what should be built, reviews what the AI creates, finds problems, and tells the AI how to improve it.”

In this article, we will go through the entire process step by step so that even someone who has never coded before can understand how to turn an idea into a simple web service and publish it online.


What Is Vibe Coding?

The term “vibe coding” became widely known in February 2025 after AI researcher Andrej Karpathy used it to describe a style of programming in which a person communicates with AI and keeps iterating on the result rather than manually reading and writing every line of code.

Today, the expression is often used more broadly.

In simple terms:

Traditional coding:

A person writes commands in a programming language that a computer can understand.

Vibe coding:

A person describes the desired result in natural language, and AI generates or modifies the code. The person then reviews the result and continues improving it through conversation.

For example, in traditional web development, if you wanted to move a button to the right side of the screen, you might need to find and edit the relevant CSS code yourself.

With vibe coding, you may simply tell the AI:

Move the search button to the right side of the main screen.
On mobile, make the button wide enough to be easy to tap.

If the AI has access to the project, it may identify the relevant files and modify the necessary code.

Modern AI coding agents can now do more than suggest a few lines of code.

Depending on the tool and environment, they may be able to:

  • Read project files

  • Modify multiple files

  • Run terminal commands

  • Analyze errors

  • Execute tests

  • Refactor existing code

  • Prepare a project for deployment

This is the broader shift behind tools such as OpenAI Codex, GitHub Copilot agents, and Cursor Agent.


Why Is Vibe Coding Suddenly Getting So Much Attention?

The biggest reason is that generative AI has become much better at programming.

Early AI coding tools mainly acted like advanced autocomplete systems.

They helped developers finish the next line or suggest a small code block.

Now, many tools can handle much larger tasks.

For example, you might ask:

Create a product list page and add a search feature.

Instead of returning only one code snippet, an AI coding agent may examine the project structure, create files, edit several components, and connect the pieces together.

Modern AI coding tools can assist with tasks such as:

  • Designing web pages

  • Creating buttons and menus

  • Implementing search

  • Editing multiple files

  • Analyzing error messages

  • Changing designs

  • Connecting databases

  • Connecting external APIs

  • Running tests

  • Fixing bugs

  • Preparing deployments

  • Understanding existing project structures

Because of this, people with little or no development experience can now experiment with ideas that previously required much more programming knowledge.

The important word here is “experiment.”

Vibe coding is especially useful when your first goal is:

“Can I turn this idea into something that actually works on a screen?”

rather than:

“Can I immediately build a large, production-ready service?”


How Is Vibe Coding Different from Traditional Coding?

Category

Traditional Coding

Vibe Coding

Main input method

Programming languages

Natural language requests

Code writing

Mostly written directly by a developer

AI can generate a large portion

Modification

Developer edits the code directly

User can request changes in natural language

Error handling

Developer investigates the cause

AI can help analyze and explain the issue

Entry difficulty

Relatively high

Lower for small projects

User role

Developer

Planner, reviewer, tester, and sometimes developer

Required knowledge

Programming knowledge is important

Easier to start, but basic knowledge is still useful

Verification

Developer reviews the work

Human review is still required

The biggest difference is how you communicate what you want.

In traditional coding, the question is often:

“What code should I write to create this feature?”

In vibe coding, the starting question may become:

“What should happen when the user clicks this button?”

However, AI-generated code does not eliminate the value of programming knowledge.

As a service becomes more complex, understanding web structure, databases, security, APIs, and testing becomes increasingly important.


Is Vibe Coding the Same as No-Code?

They may look similar, but they are not exactly the same.

No-Code

No-code platforms focus on combining prebuilt features or visual blocks.

For example:

Add button → Add list → Add input field → Connect automation

The user can often create a service without directly dealing with the underlying code.

Low-Code

Low-code platforms rely heavily on visual tools but still allow users to write code when necessary.

Vibe Coding

Vibe coding centers on describing what you want to AI in natural language, while the AI may generate and modify actual program code.

Category

No-Code

Low-Code

Vibe Coding

Main method

Assemble prebuilt features

Visual tools + some coding

Natural language interaction with AI

Direct code use

Usually very limited

Sometimes required

AI may generate and edit code

Flexibility

Limited by the platform

Relatively high

Can reach the code level

Beginner accessibility

High

Medium

Often high, depending on the tool

Complex features

May be limited

Often possible

Possible, but difficulty increases

So vibe coding should not simply be treated as another name for no-code development.


What Can You Build with Vibe Coding?

If you are a beginner, it is best to start with something small and realistic.

Personal Website

Possible features:

  • Introduction

  • Photos

  • Portfolio or career history

  • Contact information

  • Social media links

Business or Store Website

Possible features:

  • Business introduction

  • Product or service information

  • Opening hours

  • Location

  • Phone or inquiry links

Travel Information Website

Possible features:

  • Destinations by region

  • Category filtering

  • Place detail pages

  • Search

Restaurant Guide

Possible features:

  • Restaurant list

  • Region filters

  • Food category filters

  • Restaurant detail pages

  • Favorites

Quote Calculator

Possible features:

  • Product selection

  • Quantity input

  • Option selection

  • Automatic price calculation

Personal Budget Tracker

Possible features:

  • Income entry

  • Expense entry

  • Categories

  • Monthly totals

Reservation Request Page

Possible features:

  • Date selection

  • Time selection

  • Name

  • Contact information

  • Reservation summary

Once you begin storing actual reservation data, the project becomes more complex because you may need a database and privacy protections.

To-Do App

Possible features:

  • Add task

  • Mark task as complete

  • Delete task

  • Organize by date

Simple AI Chatbot

Possible features:

  • Question input

  • AI API connection

  • Answer display

This type of project usually requires an external AI API, which means you also need to think about API usage, security, and cost.


AI Coding Tools Beginners Can Use in 2026

AI coding tools are evolving extremely quickly.

Rather than memorizing tool names, it is better to understand what each type of tool is good at and choose one that fits your current level.

ChatGPT and Codex

ChatGPT can help with tasks such as:

  • Organizing an idea

  • Writing requirements

  • Explaining code

  • Explaining errors

  • Planning a web service

OpenAI Codex is designed for more direct software development work such as creating features, editing code, refactoring projects, and running tests.

A beginner may start by using ChatGPT for questions like:

Help me organize the requirements for the service I want to build.

or:

Break this project into simple steps for a complete beginner.

Then, in later development stages, a coding agent can be used for more hands-on coding tasks.

Claude and Claude Code

Claude can be used for:

  • Organizing project structures

  • Explaining code

  • Reviewing logic

  • Analyzing programming problems

Claude Code is an agentic coding tool designed to work directly with code projects, particularly in terminal-based environments.

Because of this, complete beginners may find it slightly more technical than browser-based app-building tools.

Google AI Studio and Antigravity

Google has continued expanding AI-powered application-building capabilities.

Its newer development direction includes Antigravity-style agentic coding workflows and AI-assisted app creation.

An important point for people watching older tutorials is that Google's AI coding tools and product structure have changed over time.

Older videos or guides may refer to tools or interfaces that are no longer presented in the same way.

So when following a tutorial, always compare it with the current official documentation.

GitHub Copilot

GitHub Copilot works inside coding environments and GitHub-related workflows.

It supports more than simple code completion.

Depending on the environment, agent features can:

  • Understand a project

  • Modify multiple files

  • Help run tests

  • Suggest fixes

  • Assist with development tasks

Because it is commonly used with environments such as Visual Studio Code, beginners may need to learn a few development concepts before becoming comfortable with it.

Cursor

Cursor is a code editor designed around AI-assisted development.

Its Agent features can help with tasks such as:

  • Searching project files

  • Editing files

  • Running commands

  • Fixing errors

  • Understanding an existing project

Cursor can be useful if you want to gradually learn how real project files and code are organized while still relying heavily on AI.

However, beginners may initially need to understand concepts such as folders, files, projects, and development environments.

Replit

Replit is a browser-based development platform.

Its AI agent can help users describe what they want in natural language, create an application, modify it through conversation, and publish it from the same environment.

This can be convenient for beginners who do not want to install and configure a separate coding environment.

Lovable

Lovable is an AI development tool that allows users to describe a website or web application in natural language and refine it through conversation and visual editing.

It is especially approachable for beginners who prefer to:

  • See the interface immediately

  • Ask for design changes visually

  • Edit through conversation

  • Publish from a browser-based environment

v0

v0 is an AI-powered web development tool from Vercel.

Users can describe the desired interface or application in natural language and generate working web interfaces and applications.

It can also connect with back-end services and deploy through Vercel.

It is especially useful for quickly creating and iterating on web interfaces.

Simple Comparison

Tool

Beginner Accessibility

Installation

Code Editing

Web Publishing

Main Characteristic

ChatGPT + Codex

Medium

Depends on workflow

Yes

Depends on environment

Broad support from planning to coding

Claude + Claude Code

Medium

Claude Code usually requires setup

Yes

Separate deployment often needed

Project analysis and coding tasks

Google AI Studio / Antigravity

High to Medium

Depends on workflow

Yes

Possible

Prompt-based app creation

GitHub Copilot

Medium

Usually used with an IDE

Yes

Separate deployment often needed

Integrated with standard development workflows

Cursor

Medium

Desktop app

Yes

Separate deployment or integration

AI-centered code editor

Replit

High

Browser-based

Yes

Yes

Build, run, and deploy in one place

Lovable

High

Browser-based

Yes

Yes

Conversational and visual web building

v0

High

Browser-based

Yes

Vercel deployment

Fast UI and full-stack web development

Free plans, usage limits, supported models, and pricing change frequently.

Before starting, check the current official pricing and feature pages of each service.


Let’s Build a Simple Service with Vibe Coding

Now let us walk through a practical example.

Suppose we want to create:

“A simple web service where users can search for local restaurants and save their favorites.”

We will not begin with:

  • User accounts

  • Maps

  • Reviews

  • Payments

  • AI recommendations

  • Advertisements

That would be too complicated for a first project.


STEP 1. Choose Only the Most Important Features

Start with three core functions.

  1. View a restaurant list

  2. Search by region or food type

  3. Save favorite restaurants

This kind of minimal starting point is often called an MVP.

MVP stands for Minimum Viable Product.

In simple terms, it means:

“The smallest version of a product that lets users experience the main idea.”

Do not try to build everything at once.


STEP 2. Explain the Service to AI

You could simply say:

Build me a restaurant website.

But a more specific request will usually produce better results.

For example:

I am a complete beginner and do not know how to code.

I want to build a simple web service where people can discover restaurants in Seoul.

The main users will be people searching for restaurants on their smartphones.

The main features are:

1. View restaurant listings
2. Search by district
3. Search by food category
4. Save favorite restaurants

The main screen should include:

- District selection
- Food category selection
- Search button
- Restaurant list

When a user selects a restaurant, show:

- Photo
- Address
- Main menu items
- Price range
- Short description

Make the interface easy to use on mobile.

I do not understand development terminology, so explain technical terms in simple language.

Do not build everything at once. Guide me step by step.

Now the AI has far more useful context.


STEP 3. Build the Interface First

Before connecting a database or map API, first check whether the service looks the way you want.

For example:

Do not connect a real database yet.

Create sample data for 10 restaurants in Seoul and build the main screen first.

At the top, place the service name and search controls.

Below that, show the restaurants as cards.

Make the design comfortable to use with one hand on a smartphone.

This allows you to confirm the structure before adding complicated functionality.

The important idea is:

“First, verify what the service should look like.”


STEP 4. Improve One Thing at a Time

If the first version is not good, that does not mean the project failed.

Vibe coding works best as an iterative process.

For example:

First revision:

The search area is too small.
Make it more visible near the top of the screen.

Second revision:

The restaurant photos are too large.
Reduce the image size and make the restaurant name more prominent.

Third revision:

The search button is too small on mobile.
Make it easier to tap with a finger.

Fourth revision:

When a user selects a restaurant, open a restaurant detail page.

Making one specific change at a time usually works better than saying:

Make everything look better.


STEP 5. Add Search

Once the interface feels right, add functionality.

For example:

Now add search functionality.

When a user selects Gangnam-gu, show only restaurants in Gangnam-gu.

When a user selects Korean food, show only Korean restaurants.

If both a district and food category are selected, show only restaurants that match both conditions.

If there are no matching restaurants, display:

"No restaurants match your search."

Again, it is usually better not to request too many unrelated features at once.


STEP 6. Add Favorites

For a beginner project without user accounts, favorite information can initially be saved in the browser.

You might ask:

Add a heart button to each restaurant card.

When the user taps the heart, save the restaurant as a favorite.

When the heart is tapped again, remove it from favorites.

Do not use user accounts or a database yet.

Use the simplest method that a beginner can understand.

The AI may mention something called localStorage.

In simple terms, localStorage is:

“A small storage area inside the web browser.”

However, if you want favorites to appear on another device, you will usually need a database and user accounts.


Do Not Try to Make Everything Perfect from the Beginning

Many beginners make requests like:

Build me a restaurant recommendation service with login, maps, reviews, payments, and AI recommendations.

An AI may generate something.

But when something breaks, it can become very difficult to understand why.

A safer process is:

  1. Build the interface

  2. Display the list

  3. Add search

  4. Add a detail page

  5. Add favorites

  6. Check mobile layout

  7. Fix errors

  8. Connect a database if needed

  9. Connect external services if needed

  10. Deploy

After each step, test whether the feature works before moving on.

This makes errors much easier to isolate.


How to Write Better Requests for AI

In vibe coding, programming skill is not the only important ability.

Another important skill is:

“Explaining exactly what you want.”

A useful beginner formula is:

What you want to build
+
Who will use it
+
What screens are needed
+
What features are needed
+
What design you want
+
What problem currently exists

Instead of:

Build an online store.

you might say:

I want to build a handmade gift website for women in their 20s to 40s.

The main page should include:

- Hero image
- Product categories
- Popular products
- Brand introduction

When a user selects a product, show:

- Photos
- Price
- Description
- Options

Do not add real payment functionality yet.

For the first version, make it a product browsing website only.

Use a bright and warm design.

Make it easy to use on smartphones.

The more clearly you explain the goal, the easier it is for the AI to understand what you expect.


Make One Change at a Time

Instead of:

Make the design better,
add login,
add search,
add maps,
fix mobile,
and solve all the errors.

try:

First, fix the mobile menu so that it displays correctly.

Do not change any other features.

After that:

Now add only the search feature.

Keep the current design and existing features unchanged.

This makes it much easier to identify which change caused a problem.


What Should You Do When an Error Happens?

One of the most frightening moments for a beginner is when something suddenly stops working.

Maybe:

  • A button no longer responds

  • The layout breaks

  • A page disappears

  • An error message appears

You usually do not need to start over.

If a Button Does Not Work

Nothing happens when I click the login button.

Find the cause.

First, explain the problem in simple language for a beginner.

Then fix only the necessary part.

If the Mobile Layout Breaks

The website looks fine on a computer,
but the menu goes outside the screen on mobile.

Fix the mobile layout.

Keep the desktop design unchanged if possible.

If an Error Message Appears

Copy the error and provide it to the AI.

This error appeared:

[Paste the error message here]

First explain why this happened in simple language.

Then show me how to fix it and change only the necessary code.

If possible, also provide:

  • Error message

  • Screenshot

  • What you were doing when the problem happened

  • What you changed immediately before the problem

This information can make debugging much easier.


Explain the Situation Instead of Saying “It Doesn’t Work”

Instead of:

It doesn’t work. Fix it.

try:

When I select Gangnam-gu and press Search,
only restaurants in Gangnam-gu should appear.

However, restaurants from all districts are still displayed.

The design looks fine.
Only the search function seems to be broken.

Find the cause and fix only the search function.

A useful bug report explains:

  • What you did

  • What should have happened

  • What actually happened


Connecting Real Data Makes the Project More Difficult

Everything so far can be built using sample data.

But a real service often needs actual data storage.

For example, suppose a user saves a restaurant today and expects it to still be saved when they return tomorrow.

The information must be stored somewhere.

That is where a database comes in.


What Is a Database?

You do not need to think of a database as something mysterious.

It is basically:

“An organized digital storage system for information used by a service.”

For a restaurant service, the database might include:

Information

Example

Name

Seoul Restaurant

District

Jongno-gu

Category

Korean Food

Address

Example Street, Seoul

Main Menu

Bibimbap

Price Range

KRW 10,000–20,000

If you introduce user accounts, you may also need to store:

  • User information

  • Favorite restaurants

  • Saved preferences


What Is an API?

Another term beginners often encounter is API.

Suppose you want to display a map on your restaurant website.

Instead of building a map system from scratch, you would usually use a map service provided by another company.

The connection between services often happens through an API.

A simple analogy is:

“An API is like an order counter where one service requests a feature or information from another service.”

Your website might ask:

Please provide map information for this address.

The map service then returns the information.

APIs are commonly used for:

  • Weather

  • Maps

  • Payments

  • Translation

  • AI

  • Transportation

  • Search


Never Expose API Keys

When using an API, you may receive an API key.

An API key works somewhat like:

“A secret credential that proves your application is allowed to use the service.”

So you should be careful with requests like:

Put this API key directly into the website code.

If the key is included in publicly visible browser code or a public GitHub repository, someone else may be able to use it.

A safer request is:

Connect this API in a secure way so that the API key is not exposed to users.

Use environment variables and server-side code if necessary.

Explain the setup step by step in beginner-friendly language.

The same principle applies to:

  • Passwords

  • Payment secrets

  • Database passwords

  • Admin credentials


How Do You Publish the Service on the Internet?

Even if your service works inside an AI development tool, other people may not be able to access it yet.

The process of making the service publicly accessible on the internet is usually called deployment.

A simple analogy is:

Website = Your store
Hosting or server = The building where the store exists
Domain = The address people use to find the store
Deployment = Opening the store so people can visit it

This is not a perfect technical definition, but it is useful for understanding the concept.

Some platforms such as Replit, Lovable, and v0 include publishing or deployment features.

Another common workflow is:

Create code
→ Store the project on GitHub
→ Connect it to a deployment platform such as Vercel
→ Publish the website


What Should You Check Before Deployment?

Even if the AI says:

“Finished.”

do not publish immediately.

Check the service yourself.

Core Functions

  • Do all buttons work?

  • Does search return the correct results?

  • Does the save function work?

  • Do links go to the correct page?

Mobile

  • Is the text large enough to read?

  • Are buttons easy to tap?

  • Does any menu go outside the screen?

  • Does unexpected horizontal scrolling appear?

Data

  • Is any information incorrect?

  • Is test data still visible?

  • Are sample data and real data mixed together?

Security

  • Are API keys exposed?

  • Are passwords written directly in code?

  • Can ordinary users access admin-only functions?


Can You Trust AI-Generated Code Completely?

No.

Generative AI can produce code that looks convincing but is wrong.

Even when the interface appears to work, there may still be:

  • Security issues

  • Logic errors

  • Performance problems

  • Incorrect assumptions

  • Hidden failures

This is why human verification is still important.

The human role does not disappear.

Instead, the ability to ask:

“Is this really working the way I intended?”

becomes even more important.


Be Especially Careful with Certain Types of Services

There is a major difference between:

“Building a simple calculator for practice”

and:

“Operating a real service that handles customers’ money or private information.”

Projects involving the following require extra care:

  • User registration

  • Personal information storage

  • Addresses

  • Phone numbers

  • Payments

  • Credit card information

  • Financial information

  • Medical information

  • Confidential business data

  • Administrator privileges

  • File uploads

  • External system connections

Do not assume:

“AI made it, so it must be secure.”

If a service will be used by real customers and handles important data, professional development or security review may be necessary.


Copyright Also Matters

Be careful with requests such as:

Make this exactly like a famous shopping website.

or:

Copy the photos from this website.

Images, articles, logos, and design elements may be protected by copyright, trademark, or other rights.

For a real service, use content that you have the right to use, such as:

  • Your own images

  • Licensed images

  • Properly licensed assets

  • Your own writing

  • Data you are legally allowed to use


Advantages and Limitations of Vibe Coding

Advantages

Limitations

Ideas can be turned into working prototypes quickly

AI can generate incorrect code

Beginners can experiment more easily

Projects become more complex as they grow

AI can handle repetitive coding tasks

Beginners may struggle to understand the root cause of errors

Small services are easier to prototype

Security problems can occur

Changes can be requested in natural language

AI-generated code should not be trusted blindly

Results can be improved iteratively

Maintenance may eventually require development knowledge

Prototype development can become faster

AI services may create usage costs

Non-developers can participate in idea validation

Complex features may require many iterations

The biggest advantage of vibe coding is not:

“You can build a perfect service without knowing anything.”

A better way to understand it is:

“The first barrier between an idea and a working prototype has become lower.”


Does Vibe Coding Mean You No Longer Need to Learn Coding?

No.

However, the learning order can change.

The traditional learning path might look like:

Learn HTML
→ Learn CSS
→ Learn JavaScript
→ Learn databases
→ Build a project

With vibe coding, another path becomes possible:

Start a small project
→ Encounter a problem
→ Learn the necessary concept
→ Improve the project

For example, if the AI says:

“I updated the CSS.”

you can ask:

What is CSS, and what role does it play in this project? Explain it for a complete beginner.

If the AI says:

“We need to connect an API.”

you can ask:

Why do we need an API? Explain it with a simple analogy.

This allows you to learn the concepts when they become relevant to your project.


Basic Concepts That Are Still Worth Learning

You do not need to master these before starting, but understanding them gradually will help.

HTML

HTML defines the basic structure and content of a web page.

A simple analogy is the structural frame of a house.

CSS

CSS controls visual appearance, including:

  • Font size

  • Colors

  • Positioning

  • Spacing

  • Layout

JavaScript

JavaScript controls behavior.

For example:

“What happens when the user clicks this button?”

Frontend

The frontend is the part of the service users directly see and interact with.

Backend

The backend handles work behind the scenes, such as:

  • Saving data

  • Authentication

  • Server logic

Database

A database stores information used by the service.

API

An API allows different services to communicate with one another.

Git

Git keeps track of changes made to code.

It can help you return to an earlier working version after something breaks.


Good Conditions for a Beginner’s First Project

Your first project should ideally have:

  • Only 1 to 3 core features

  • No required user registration

  • No payment function

  • Minimal personal data

  • No necessary external API for the first version

  • Results that can be seen immediately

  • Low risk if something breaks


Five Good Vibe Coding Projects for Beginners

1. Travel Packing Checklist

Features:

  • Add item

  • Mark complete

  • Delete item

What you can learn:

  • Buttons

  • Input fields

  • Lists

  • State changes


2. Simple Price Calculator

For example, calculate the total amount based on price and quantity.

Features:

  • Price input

  • Quantity input

  • Automatic calculation

What you can learn:

  • Numeric input

  • Calculation

  • Output display


3. Product Introduction Page for Your Store

Features:

  • Product photo

  • Product name

  • Price

  • Description

  • Category

What you can learn:

  • Page structure

  • Mobile design

  • Product lists


4. Personal Restaurant List

Features:

  • Restaurant list

  • Region search

  • Food category filtering

What you can learn:

  • Search

  • Filters

  • Card layouts


5. Personal Link Collection

Features:

  • Website name

  • Description

  • Open link

  • Category

What you can learn:

  • Links

  • Lists

  • Interface layout

Completing even one of these projects can teach you the basic flow of vibe coding.


Beginner Prompt Template for Your First Project

You can modify the following template for your own idea.

I am a complete beginner and have never coded before.

I want to build [service name or purpose].

The main users are [target users].

The three most important features are:

1. [Feature 1]
2. [Feature 2]
3. [Feature 3]

The screens I need are:

1. Main screen
2. [Screen]
3. [Screen]

Use a [desired visual style] design.

Make it work well on both desktop and mobile.

I do not understand development terminology,
so explain technical terms in simple language whenever they appear.

Do not build everything at once.

Start with the most basic interface and guide me step by step.

After each step, explain:

- What was created
- What I should check

If the project involves personal information, payments, API keys,
or other security-sensitive information,
do not handle them carelessly.

Explain the safe approach first.

You can also add:

Do not change features that are already working correctly.

Modify only the part I specifically asked you to change whenever possible.

This can reduce unintended changes.


How to Test Your Service

After AI creates your service, use it like a real user.

For a restaurant service, you might check:

Search

Does the full Seoul list appear correctly?

When Gangnam-gu is selected, does only Gangnam-gu appear?

When no result exists, does an appropriate message appear?

Favorites

Does tapping the heart save a restaurant?

Does tapping again remove it?

Does the saved state remain after refreshing if it is supposed to?

Detail Page

Does every restaurant open the correct detail page?

Does the back button work properly?

Mobile

Is the text readable?

Do buttons overlap?

Does anything extend beyond the screen?

This process is called testing.

You can ask AI to help with testing, but manually using the service yourself is still important.


Version Control Becomes Important as the Project Grows

At first, you may think:

“I can just keep asking AI to modify the project.”

But eventually this can happen:

“It worked yesterday, but after today’s change, the whole project broke.”

This is why version control is useful.

Developers often use Git.

A simple explanation is:

“Git keeps a history of important changes in your project.”

It is similar to creating save points in a game.

As your vibe coding projects become more serious, learning the basics of Git and GitHub can be very helpful.


Humans Still Make the Important Decisions

AI can do more development work than before, but the following questions are still human decisions:

  • Who is this service for?

  • What problem does it solve?

  • Which features are actually necessary?

  • What information should not be collected?

  • What is frustrating for users?

  • What design fits the purpose?

  • Is the service safe enough to publish?

Even if AI writes excellent code, it does not automatically decide the purpose of the service for you.

This is why vibe coding can allow people such as:

  • Business owners

  • Office workers

  • Students

  • Designers

  • Planners

  • Entrepreneurs

  • Non-developers

to participate more directly in turning ideas into working services.


What Humans Must Still Check in Vibe Coding

Before publishing, check at least the following:

  1. Do the main functions actually work?

  2. Does the service display correctly on desktop and mobile?

  3. Is incorrect information being shown?

  4. Is private information unnecessarily exposed?

  5. Are API keys or passwords visible in the code?

  6. Are copyrighted images or text being used without permission?

  7. Does the AI-generated code contain serious errors?

  8. Is user information properly protected?

  9. Are admin functions hidden from ordinary users?

  10. If payments are involved, has security been reviewed properly?

Remember:

“A page that appears on the screen” does not automatically mean:

“The service is finished.”


Start with a Small Goal

For your first vibe coding project, do not begin with:

“I am going to build the next Instagram.”

A better first goal might be:

“I will create a web page where a user enters a price and quantity and the total is calculated automatically.”

Completing one small project already lets you experience the entire development flow:

Choose an idea
→ Explain it to AI
→ Build the interface
→ Add a feature
→ Fix an error
→ Test
→ Publish online

Then, on the next project, add one more feature.


What to Remember Before Starting Vibe Coding

If you think of vibe coding as:

“Technology where AI automatically builds perfect software for me”

you may quickly become disappointed.

At the same time, you do not need to believe:

“Only professional developers can use it.”

The rapid development of generative AI and coding agents has made it much easier for people to describe what they want in everyday language and participate directly in software creation.

However, people still need to:

Explain ideas clearly,

Review what AI creates,

Click through and test features,

Describe problems accurately,

Check security and privacy,

And gradually learn the technical concepts that become necessary.

In the end, vibe coding is less about:

“AI doing everything for me”

and more about:

“Explaining my idea clearly to AI, reviewing the result, and gradually turning it into a working service.”

If you have never coded before, you do not need to begin with a huge application.

Build one calculator.

Build one checklist.

Build one product page.

And whenever you encounter a technical term you do not understand, ask:

Explain this so that someone who has never coded before can understand it.

The first time you see something you described in everyday language actually working on a screen, coding starts to feel less like an inaccessible technical field and more like something you can explore.

So the first question no longer has to be:

“Do I know how to code?”

It can become:

“What small feature should I build first?”