What Is Vibe Coding? A Beginner's Guide to Building Apps With AI

People see “vibe coding” and think they need to build a million-dollar SaaS app from the jump.

You do not.

There is money to be made, obviously. The AI bros have not been posting through it for free. But if you start by trying to build the next big platform, you will probably keep your ideas in your notes app because everything feels too big to touch.

You do not need a huge idea. You need one that makes sense.

Build something that solves your problem. Build something that solves your friend’s problem. Build something that makes one annoying part of your day easier. That is a perfectly valid reason to make software.

That is why I like vibe coding so much. It gives more people a way to move from “I wish this existed” to “wait, I built that” without needing a computer science degree or seven years of traditional engineering experience.

But before we get too excited, let me say the quiet part out loud: vibe coding is not magic.

AI can write code for you, but it will not think through the whole product, define good taste, test every button, or magically know what you meant when your prompt was giving “I had this idea in the shower.” You still have a job.

The good news is that the job is learnable.

What vibe coding actually means

Vibe coding is using AI to build app ideas without writing every line of code yourself.

You describe what you want, the AI writes or edits the code, and then you work with it to test, fix, and improve the project.

Despite the name, it is not based on vibes alone. You still need structure. You still need context. You still need to look at the output and decide whether it makes sense.

Vibe coding has three main parts:

1. Language: you tell AI what you want through prompts.
2. Generation: AI reads your prompt and project files, then writes code.
3. Iteration: you test what it made, explain what needs to change, and ask for revisions.

That last part is where people get humbled.

AI may get you 80 percent of the way there quickly. The other 20 percent is where your judgment matters. You are the one deciding what looks right, what feels broken, what needs to be simpler, and what is not ready to ship.

Vibe coding vs. AI-assisted coding

People ask if vibe coding is different from AI-assisted development.

Not really.

Both mean you are using AI to help build software. “AI-assisted development” just sounds more official. And not gonna lie, sometimes it feels like a way for software engineers to make the same behavior sound more legitimate when they do it.

The bigger difference is how much technical knowledge the person brings into the process.

This is the cleanest way to think about the difference: same AI tools, different amount of technical judgment.

With AI-assisted development, an engineer is usually working alongside the tool with knowledge of architecture, testing, security, version control, databases, and all the other things that make an app easier to maintain.

With vibe coding, the builder may be relying much more heavily on AI. That is not automatically bad. It just means you need to learn how to review what AI gives you.

You need to know when it is going wrong, what questions to ask, and when to bring in somebody with more experience.

Do you need traditional coding experience to vibe code?

No.

Can traditional coding experience help?

Absolutely.

If you have zero coding background, you can still build landing pages, simple web tools, dashboards, calculators, internal tools, and personal apps. If you want to build something more complex, especially anything with sensitive data, payments, authentication, or real customers, the technical side starts to matter a lot more.

That does not mean you have to go back to school before you build anything. There are courses, tutorials, communities, and tools that can help you learn as you go.

You do not need to know everything before you start. You just need to know enough to slow down when the project asks for it.

What vibe coding is good for

Vibe coding is great for bringing small, useful ideas to life.

Earlier this year, I built my brother an AI receptionist that answers calls while he is working on cars. I built a dashboard for my hairdresser in Bali to help her manage customers. I also built tools for my own business and a personal AI assistant that saves me time every day.

None of those started as “let me build a billion-dollar company.”

They started with real problems.

That is where beginners should start. Not with some massive app idea that needs a team, a pitch deck, and a prayer. Start with the thing that would make your life easier this week.

A receipt splitter. A client tracker. A meal planner that actually respects your grocery budget. A tiny dashboard for your side hustle. A tool that sends you reminders because your brain said “we’ll remember” and then immediately lied.

Small does not mean silly. Small is how you finish.

The beginner loop I recommend

If you are new to vibe coding, do not open an AI coding tool and type “build me an app.”

That is how chaos gets invited over and starts touching your files.

Use this loop instead:

1. Idea
2. Brief
3. Build
4. Test
5. Refine
6. Review

It is simple on purpose. The goal is to keep you close enough to the work that you understand what AI is doing.

Step 1: Start with the idea

Give your idea a name and explain the problem it solves.

For example, let’s say I want to build a receipt splitter.

You go out to eat with friends. The bill comes. Nobody wants to do the math. Somebody had two drinks, somebody split fries, somebody is suddenly “not that hungry” now that the check is here. Annoying.

So the app idea is simple: scan a restaurant receipt, assign items to people, and calculate who owes what.

This is all your starting point needs to be. A tiny idea with a clear problem.

That is the version one.

Not group chat payments. Not user accounts. Not loyalty points. Not an AI sommelier hiding in the corner.

One core function: split the bill without making everybody do manual math.

Step 2: Write the brief before you build

Do not skip the brief.

I do not care how excited you are. If you skip the brief, you are asking AI to guess what you mean, and AI loves guessing with confidence.

Your brief does not need to be fancy. It needs four parts:

1. Executive summary
2. Tech stack and scope
3. Feature checklist
4. UX/UI direction

In big tech language, this is usually called a PRD, or product requirements document. But do not let that phrase scare you. It is just a plan.

For the receipt splitter, the executive summary could be:

A mobile-friendly web app where users scan a restaurant receipt, assign items to people in their group, and get an instant breakdown of who owes what. It is built for friends splitting a bill who do not want to do the math themselves.

That is enough to give the AI a starting point.

Then you define the stack and scope.

If you have never coded before, you do not need to confidently name every tool in the stack. Tell AI whether you want a web app, mobile app, dashboard, or internal tool, and ask it to recommend a beginner-friendly stack.

For a web app, it might suggest tools like React, Next.js, Tailwind CSS, Supabase, Netlify, or something similar. If you are using Codex, you can also ask it to explain the tradeoffs before it starts building.

The scoping part is where you name what version one should not include.

For my receipt splitter:

• No user accounts
• No login
• No saved receipt history
• No payments between friends
• No complicated admin dashboard

The not-list matters just as much as the feature list. This is how you keep version one from getting dramatic.

Version one is open the app, scan the receipt, split the bill, done.

Knowing what not to build will save you so much pain. AI will absolutely add bonus features if your prompt leaves the door open. Sometimes those bonus features are cute. Sometimes they are a four-hour debugging session wearing a fake mustache.

Step 3: Turn the brief into a useful prompt

Once you know the idea, the audience, the core features, the no-list, and the design direction, ask AI to help you turn it into a real project brief.

Here is a prompt you can reuse:

Help me create a PRD for my app idea.

I want to build an app that does [your app idea] for [your users].

This is for an MVP build. The app should not include [your not-list].

I have attached UX/UI guidelines and examples for how I want the app to look and feel.

Include an executive summary, recommended tech stack, scope, feature checklist, and UX/UI design guidelines.

This is the part people skip. Bring the prompt and the visual references so AI is not guessing what “cute” means.

This is where you bring your taste into the process.

Do not give AI full creative freedom and then get surprised when it hands you a gray dashboard with too many cards. Use references. Make a mood board. Grab screenshots from Dribbble, Mobbin, Pinterest, or apps you already like.

The idea came from you. The standards should come from you too.

AI is the accelerator, not the replacement.

Step 4: Build one piece at a time

Once your brief is ready, bring it into your AI coding tool and ask it to break the project into smaller phases.

For the receipt splitter, I would build in this order:

1. Upload or scan the receipt
2. Display the receipt items
3. Add people to the split
4. Assign items to each person
5. Calculate totals
6. Show the final split summary

One feature at a time.

Please do not ask it to build the whole app in one go unless you enjoy watching six things break at once.

Phase one only. No parsing, no assignments, no math yet. This is how you keep the build manageable.

Even though AI is writing the code, the skill doing the heavy lifting is communication. Can you explain what you want? Can you explain who it is for? Can you explain what problem it solves?

That is not some mysterious coding skill. That is clear thinking.

And you are already capable of that.

Step 5: Test like something is broken

Once a feature is built, test it before moving on.

Click the button. Upload the file. Type the weird input. Refresh the page. Try the thing a normal person would try and the thing an impatient person would try.

Bugs usually show up in three places:

Front end: right-click the page, open Inspect, and check the Console tab. A red error usually tells you where something broke.

Back end: if your app uses a database or server, check your terminal for words like error, crash, exception, or 500.

Silent bugs: this is when you click a button and nothing happens. No error. No drama. Just silence. That usually means AI created the button but forgot to connect it to the function.

Those silent bugs are my personal nemesis.

Step 6: Fix with context, not panic

When something breaks, do not panic-prompt.

You know the prompt. “It broke fix it!!!!”

Very human. Not very useful.

Give AI the actual context:

• The exact error message
• What you expected to happen
• What happened instead
• The feature you changed right before the bug appeared

Here is the prompt I would use:

The application just broke. Here is the exact error message from my console:

[Paste error here]

This happened right after we tried to implement:

[Last feature changed]

Before writing any new code, tell me what is causing this error and which file it is located in.

Do not let AI start changing files until it can explain what broke and where the fix belongs.

That last line matters. Make AI explain the problem before it starts changing files.

And if this still feels like a lot, please know that plenty of real developers are also screenshotting errors and asking AI, “What does this mean?” You are fine.

Step 7: Review before you ship

After AI suggests a fix, check what it wants to change.

If the scan button broke, I want the fix to touch the scan feature. I do not want AI rewriting the homepage, adding three packages, changing the database schema, and renaming half the files because it got ambitious.

Keep the fix focused.

Then refresh the app and test that exact feature again.

I will say this forever: AI can help you code, but it is on you to verify.

Before you ship anything public, get a review. I usually use tools like GitHub Copilot Review for this part, but Qodo and CodeRabbit can help too. If the app touches sensitive data, authentication, payments, or anything that could hurt somebody if it breaks, get a real developer involved.

There is zero shame in that.

Good builders know when to ask for help.

When to bring in a developer

You do not need a developer for every personal project.

If you are building something for yourself, your family, your own workflow, or a tiny internal tool, you can probably keep learning and building on your own.

Bring in a developer when:

• Other people’s money runs through the app
• You are storing other people’s private information
• The app needs authentication or permissions
• A bug could hurt someone or cost them money
• You cannot explain what the AI changed

That last one is important.

You do not need to understand every line of code like a senior engineer, but you should understand the shape of the change. If you cannot explain what changed at all, slow down.

Also, read my vibe coding security tips before you put anything real on the internet. AI can get an app online fast. That does not mean it checked the locks.

Beginner mistakes to avoid

I have been doing this for years, and I still make mistakes.

My biggest one is not even a bug. I do not ship.

I will get an idea, build half of it, then suddenly go, “wait, what if I built this other thing?” And now the first project is sitting in a folder somewhere, judging me.

Do not be like me.

A few more mistakes to watch for:

• Panic prompting instead of giving AI context
• Asking for too much in one prompt
• Skipping the brief
• Accepting changes you did not review
• Letting AI make all the design decisions
• Shipping without testing the weird cases

The goal is not to become perfect. The goal is to build a habit of steering, testing, and reviewing.

That is the difference between vibe coding as a fun experiment and vibe coding as a real building skill.

Your first app does not need to be impressive

Vibe coding was never about skipping the work.

It is about focusing on the work that matters.

You might not be writing every line of code anymore, but you are still the one deciding what to build, what good looks like, what needs fixing, and what is ready to ship.

So do not let “I do not know how to code” be the excuse that keeps your idea sitting in your notes app for another six months.

Not huge. Not perfect. Useful enough to prove the idea works.

Build the receipt splitter. Build the tool that fixes one annoying part of your day. Build the little dashboard your friend keeps saying she needs.

It does not have to be big.

It just has to exist.

Happy building!

Kedasha

This post was written with the help of AI from a human-written YouTube script.