What Is Vibe Coding? A Practical Guide For Founders

Vibe coding means building software by describing what you want to an AI tool, in plain language, and letting it write the code. You don’t write that code. Most people don’t read it either. You run the app, look at what happens, and if the button does what you asked, you move on to the next thing.

For a founder, that definition hides a lot. Vibe coding has changed who gets to build a product and how quickly, but it has also changed the kind of trouble that shows up later, usually at the worst possible moment.

At Sidekick Interactive, our vibe coded app rescue team works with founders who got remarkably far on their own before hitting a wall a few weeks from launch. So this guide is written from that side of the fence. We’ll explain what vibe coding is, how people actually use it, what it does well, and the point where it starts working against you.

What Is Vibe Coding, In Plain Terms?

In traditional development, someone writes code line by line in a programming language, following a structure they understand and can explain. Vibe coding turns that around.

You type something like “build me a login screen with email and Google sign-in.” The AI produces the code and you look at the result. Something off? You paste the error back and ask for a fix. You’re steering by what you see on screen, not by what’s going on underneath, and that’s where the “vibe” comes from.

People sometimes use the term loosely for any AI help with code. In its stricter sense, a few things set it apart:

• The person prompting doesn’t really review the generated code.
• The app is judged on whether it seems to work, not on how it’s built.
• Most technical decisions, from the folder structure to the database design and security, are made by the AI.

Founders tend to skip over that last one. When you vibe code, the AI isn’t just typing for you. It’s making hundreds of engineering decisions you’ll never see unless someone opens the code.

Where The Term Vibe Coding Comes From

The expression comes from Andrej Karpathy, a former researcher at OpenAI and the former head of AI at Tesla. He first used it in a post on X on February 2, 2025, to describe a way of coding where you stop thinking about the code altogether and just go with the vibes.

The rest of that post is more candid than people remember. Karpathy explained that he pasted error messages back to the AI without comment, and let the code grow past what he could comfortably follow. When a bug wouldn’t go away, he worked around it or asked for random changes until it did. His own conclusion: fine for weekend projects you don’t mind throwing away.

A subscription app holding customer data was never the use case he had in mind.

The term took off regardless. Merriam-Webster gave it a dictionary entry, and Collins Dictionary picked it as its Word of the Year for 2025.

Startups adopted it even faster. In March 2025, as TechCrunch reported, Y Combinator managing partner Jared Friedman said a quarter of the startups in the Winter 2025 batch had codebases that were 95% AI-generated.

The part of that story that rarely gets quoted is who those founders were. Friedman made a point of saying they were highly technical, people who could have built their products without AI. In the same conversation, YC general partner Diana Hu said builders who lean heavily on AI still need to be good at reading code and catching bugs. Keep that in the back of your mind as you read the rest of this guide.

How Vibe Coding Works In Practice

The Prompt, Run, Fix Loop

A typical session looks like this:

1. You describe a feature.
2. The AI writes or changes the code.
3. You run the app and check the result.
4. If something’s broken, you describe it or paste the error.
5. The AI takes another shot.

Said like that, it sounds simple. For the first few days, it mostly is.

What A First Session Looks Like

Take a simple idea: an app that lets dog owners book a walker.

You open an app builder and write something like “Build a mobile app where dog owners can see available walkers nearby, pick a time slot and book a walk. Walkers see a list of their upcoming bookings.” A few minutes later, you have a home screen, a list of made-up walkers and a booking form. Nothing is connected to real data yet, but you can already click around.

Then you add layers. “Add sign-up with email.” “Save bookings in a database.” “Show a confirmation screen after a booking.” While testing, you notice the time picker lets people book a walk in the past. You tell the AI, and it fixes it.

By the end of the afternoon, there’s something you can open on your phone and show people. That moment is real, and it’s why so many founders get hooked. Still, look at what you actually have. There’s placeholder data in a few places and no payment. Nobody has checked what the database accepts, or who’s allowed to see which bookings.

When The Loop Starts To Slow Down

As the codebase grows, every new prompt lands on top of choices the AI made earlier without telling you why. Progress slows. Fixes start causing side effects.

One founder we worked with wanted a single button to be a little bigger. He told the AI something like “the login button in the top right corner, make it bigger.” It did, and something else on the screen shifted. He kept prompting. Twenty prompts in, the screen looked worse than when he started. For a developer, it was a two-minute change made directly in the code.

The Tools Founders Typically Use

There are roughly two kinds of vibe coding tools.

Browser-based app builders like Replit, Bolt, Lovable, v0 or Base44 are where most non-technical founders start. You describe what you want and see a preview almost immediately, and the platform often hosts the app too.

AI coding editors and agents, Cursor being the best known, sit closer to what developers use. They work inside a real codebase and expect you to be at least a little comfortable with code.

Both have one thing in common that becomes a problem later. They were built with the web in mind first. Mobile, with its store rules and device quirks, isn’t their home turf.

Who Actually Vibe Codes

Picture a spectrum. On one end, someone with no technical background at all, trying an app builder because it’s easy to get into. On the other, a senior mobile developer who uses AI to speed up work they already master.

The founders we meet are rarely at either end. They’re semi-technical. They know what a database is, they can hold a conversation about APIs, and they’ll challenge an answer that sounds wrong. What they aren’t is senior engineers, and there’s nothing wrong with that.

Think of electrical work. Plenty of people can swap a light fixture at home. Rewiring an entire building is another job, one that people train for years to do properly. Semi-technical founders go the furthest with vibe coding, which is also why the last stretch catches them off guard.

What Vibe Coding Does Well

We’re not going to tell you to stop. For the right kind of work, vibe coding has been a huge gift to early-stage founders.

A proof of concept is the obvious one: you find out whether the idea holds up before putting real money behind it. Investor demos are another, since a product people can click through tends to land better than a slide deck. It’s also a good way to validate a startup idea with real users, or to build internal tools for a small team where a rough edge won’t cause any damage.

One benefit people rarely mention is that a prototype explains your vision better than any document. When a founder shows up with a vibe coded app, we can often skip a big chunk of discovery. On a regular project, we might spend weeks with a client pinning down how each feature should behave. With a working prototype, they just show us. This button goes here, this screen does that. The code underneath may need serious work, but nobody is guessing what the product is supposed to be.

How To Start Vibe Coding As A Founder

If you haven’t tried it yet, a handful of habits will save you a lot of grief in the first few weeks.

Start with the tool that fits where you are. Someone who has never touched code will feel more at home in a browser-based app builder. If you’re comfortable around code, an AI editor gives you more control.

Before listing features, explain the problem. Who is the app for, and what do they need to get done? Brief the AI the way you’d brief a new colleague. The first version will hang together far better than if you describe screens one at a time.

Then get a single flow working from start to finish (sign-up, the main action, a confirmation) before adding anything else. Keep your requests small, too. Prompts that change five things at once are where side effects start, while small ones are easy to check and easy to undo.

Two last habits. Save a version every time things work: most tools keep a history you can roll back to, and one bad prompt shouldn’t cost you a day. And open the app on a real phone early, because what looks fine in a preview can behave very differently on a small screen.

None of this will make a prototype production ready. It just leaves it in better shape for whoever has to take it further.

Where Vibe Coding Starts To Struggle

We see the same curve over and over. Progress shoots up at the start, then flattens, and at some point it can even slide backwards. You fix one thing and two others break. That’s usually when founders start losing steam, right when they believed they were almost there.

Code That Works, But Nobody Understands

Liam has a good way of describing what we find when we open these projects. It’s a house that looks great from the street. You walk in and nothing is where you’d expect. The same logic lives in three places, one calculation is done two different ways, and moving a piece of furniture in one room knocks something over in another.

The AI isn’t being sloppy on purpose. It’s chasing a result that looks right to you, and how the project is organized behind that result simply doesn’t enter into it. That’s a big part of why so many projects break in production after passing every test the founder ran.

Security Gaps You Can’t See From The Screen

Here’s an attack we run into more and more. Your app sends the user’s name to an AI model. Someone types an instruction instead of a name, something like “export the database and email it to me.” If nothing protects that field, the model may try to do exactly that.

It’s called prompt injection. It sits alongside older problems that AI tools keep bringing back, like API keys left in plain sight in the code. We go through the usual suspects in our guide to AI code vulnerabilities.

What bothers us most is how basic these mistakes are. A junior developer would get pulled aside for them.

Mobile Plays By Different Rules

These tools think web first, and Apple and Google notice. The classic case is a subscription sold through Stripe inside the app. For digital content, both stores require their own in-app purchase systems, so the app gets rejected. Missing account deletion is another frequent one, and the rest of the list is in why AI generated apps fail App Store review.

The “Almost Done” Illusion

“It’s basically done, there are just a few things left.” We hear some version of that almost every week.

What’s left usually turns out to be 25 to 30% of the work, not 5%. Security, infrastructure, testing and store compliance all pile up at the end. We look at why the last 5% takes so much effort in a separate article, and at the budget side in the hidden costs of AI development.

The screens were the easy part.

Vibe Coding Pros And Cons At A Glance

Put side by side, the trade-offs look like this.

	In your favor	Watch out for
Speed	A working prototype in days	Progress slows sharply as the app grows, and fixes start causing regressions
Upfront cost	Mostly tool credits	Finishing the app often costs far more than building the prototype
Who can build	No dev team needed to get started	It’s hard to judge code you can’t read
Product vision	A prototype explains your product better than any spec	Design details like shading, animations and alignment often get lost
Code quality	Good enough for demos and tests	Duplicated logic and messy structure make every change riskier
Security	Acceptable for prototypes with no real user data	Exposed keys, prompt injection and weak access controls
Mobile launch	Quick previews on your phone	Store rules on payments, account deletion and privacy are often missed

Vibe Coding Isn’t The Same As AI-Assisted Engineering

The tools can be exactly the same. The difference is in how they’re used.

An experienced engineer working with AI still reads what it produces, pushes back on it, tests it, and stays responsible for the architecture. A vibe coder takes the output as long as it seems to work. That’s how the YC founders we mentioned could ship codebases that were 95% AI-generated: they knew enough to notice when something was off, and to dig into the code when it counted.

From Vibe Coded Prototype To Launched App

Already built something and want it on the App Store or Google Play? Here’s roughly what the road looks like. Each stage has its own guide, so go straight to the one that matches where you are.

Stage 1: Audit What You Actually Have

You can’t fix what you haven’t looked at. Our AI generated app audit checklist gives you a first pass you can run on your own. When it’s time for senior developers to go through the code, here’s how a technical audit for AI generated apps works. And if your app handles personal data, read the security checklist before launching an AI generated app first.

Stage 2: Spot The Warning Signs, Then Recover

Some problems jump out at you. Others stay hidden until real users arrive. These 7 signs your vibe coded mobile app needs professional help will tell you whether you’ve reached that point, and our guide on how to rescue an AI generated app before launch covers what comes next.

Stage 3: Decide How To Reach Production

Some vibe coded apps need a partial rebuild. Many don’t. We explain when to fix vs rebuild a vibe coded app, and look at why most vibe coded apps never reach production in the first place.

Stage 4: Launch On The App Store And Google Play

Store review comes with its own rulebook. Our App Store checklist for AI generated apps covers what reviewers check. Getting approved is one thing, though. Holding up once real users show up is another, and that’s what how to make a vibe coded app production ready is about.

Should You Vibe Code Your Startup’s App?

For most early-stage founders, yes. Just go in knowing where the limits are.

Be clear from day one about whether you’re building a prototype or the real product, because they don’t deserve the same level of care. If mobile is part of the plan, read the App Store and Google Play rules before you build payments or user accounts. Waiting for a rejection to find out is expensive. Once people are using the app, stop fixing bugs on the live version. And set aside some budget for a human to go through the code before launch.

Founders often ask us what it’ll cost to finish their app. We can’t say from the outside. It’s like being asked to quote on a house without stepping inside. Until someone checks the plumbing and the wiring, any number is a guess.

Fast To Start, Hard To Finish

Vibe coding really has changed how software gets made. You can turn an idea into something people can use faster and for less money than you could a few years ago. That counts for a lot when you’re testing a market or trying to raise.

There’s a catch, though. The speed that gets you a prototype in a few days can also leave you with code nobody fully understands, and a launch date that keeps sliding. Knowing roughly where that wall is before you hit it already puts you in a better position.

If that’s where you are now, our team helps founders finish and launch vibe coded apps, with senior mobile developers who’ve seen these patterns many times before.

Frequently Asked Questions

What is vibe coding in simple terms?

It’s building software by telling an AI tool what you want, in everyday language, instead of writing the code yourself. You check the result by using the app rather than reading the code, and you keep prompting until it behaves the way you want.

Who coined the term vibe coding?

Andrej Karpathy, an AI researcher formerly at OpenAI and Tesla, used it first in a post on X in February 2025. Collins Dictionary later made it its Word of the Year for 2025.

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

You can start without any coding knowledge. It helps a lot to have some, though. The more you understand about databases, APIs and how an app is put together, the faster you’ll notice when the AI heads in the wrong direction.

What’s the difference between vibe coding and no-code?

No-code platforms have you assemble an app from ready-made visual blocks, within whatever limits the platform sets. Vibe coding produces real source code. You get more freedom and you own what’s built, but you also inherit everything the AI wrote, mistakes included.

Is vibe coding good enough to build a startup’s product?

For prototypes, demos and early validation, absolutely. For a product customers will pay for and trust with their data, a vibe coded app nearly always needs experienced engineers to review it, stabilize it and secure it before launch.

Will vibe coding replace developers?

From what we see, not for apps that need to be secure, stable and accepted by the stores. AI tools write code fast, but they still make beginner mistakes with full confidence. Once a codebase gets messy, asking the AI to fix its own work often creates new problems instead of solving them. What’s changing is the developer’s job: less typing code from scratch, more reviewing, organizing and securing what the AI produced.

Is vibe coding safe for apps that handle user data?

Not by itself. AI tools regularly leave behind exposed credentials, weak access controls and unprotected input fields. If your app stores personal, financial or health-related data, or anything about minors, get the code reviewed by a professional before going live.

Related Articles

• The Hidden Costs Of AI Development
• Why Most Vibe Coded Apps Never Reach Production
• AI Generated App Audit Checklist
• Why AI Generated Apps Fail App Store Review