What Is Vibe Coding? A Plain-English Guide for Founders

TL;DR: Vibe coding means building software by describing what you want in plain English, then letting an AI write the code. It's fast, low-cost, and works well for prototypes. It also has real limits. This post covers how it works, where it shines, and where it breaks down.

Vibe coding is building software by describing what you want in plain English. The AI writes the code. You review, tweak, and ship. No Computer Science degree required.

It's not a gimmick. Founders are using it right now to build real products. But it has limits, and knowing them is the difference between a fast win and a costly rebuild.

What does vibe coding actually mean?

The term comes from a post by OpenAI co-founder Andrej Karpathy. He described a way of working where you stop reading the code entirely. You describe the outcome you want. The AI writes the code. You test it. If something breaks, you describe the fix in plain English and let the AI correct it.

In practice, most founders sit somewhere in the middle. They describe features in natural language, use tools like Cursor, GitHub Copilot, or Bolt, and stay close enough to the output to catch obvious problems.

The result is still software. It runs. It can be deployed. Users can sign up, pay, and come back tomorrow. For a lot of founders, that is all they need to validate an idea.

For a deeper look at the full picture, read the vibe coding pillar.

How does vibe coding work?

The core loop is simple.

1. You open a tool like Cursor or v0.
2. You describe what you want. "Build a signup form that saves emails to a database."
3. The AI generates the code.
4. You test it in the browser.
5. If something is wrong, you describe the fix. "The button is not doing anything. Fix it."
6. Repeat until it works.

The AI is doing the heavy lifting. It knows the syntax. It knows common patterns. It can wire up a frontend to a backend faster than most junior developers. What it cannot do is make product decisions for you. That part is still yours.

IBM has a solid technical breakdown of the approach in their overview of vibe coding if you want to go deeper on the mechanics.

What is vibe coding good for?

Vibe coding is genuinely useful in a few situations.

Prototypes and MVPs. You need to test an idea quickly. Spending three months and $50,000 on a custom build before you have a single paying customer is a bad bet. Vibe coding can get you something real in days.

Internal tools. A dashboard for your ops team. A simple CRM for a small sales team. A reporting tool that saves someone two hours a week. These are low-complexity, high-value targets.

Landing pages and marketing sites. If you have a clear design direction, you can ship a solid site without a front-end developer.

Feature experiments. You want to test whether users will click a button before you build the full feature behind it. Vibe code the button. See what happens.

We build web applications across all of these categories. Some start as vibe-coded prototypes. Some need a professional build from day one. The deciding factor is almost always complexity and longevity.

Where does vibe coding fall short?

This is the part that does not get talked about enough.

The AI writes code that works today. It does not always write code that scales, stays secure, or makes sense to another developer six months from now. The more you build on top of a vibe-coded foundation, the more those gaps matter.

Security. AI-generated code can leave authentication holes, expose API keys, or skip input validation. For a prototype, that might be fine. For a product handling customer data or payments, it is not.

Performance. The AI picks solutions that work, not always solutions that are fast. A query that returns ten rows is fine. The same query returning a million rows can bring a server down.

Maintainability. Vibe-coded projects can become tangled fast. One developer chasing bugs through AI-generated code they do not fully understand is not a fun situation.

Anything with real complexity. Multi-tenant SaaS, complex data pipelines, real-time systems, heavy integrations. These need architectural thinking before a single line is written. The AI does not do that.

We saw this play out on a white-label AI platform build. The client had a working prototype. What they needed was a stable, scalable foundation they could sell to enterprise customers. That required proper architecture, not more prompts.

When should you bring in a dev team?

There is a simple test. Ask yourself three questions.

Is this going to handle real customer data? If yes, you need proper security review.

Will more than one developer touch this code? If yes, you need a maintainable codebase, not a pile of AI output.

Do you need this to scale? If yes, architecture matters from the start.

At Devwiz, we have shipped over 200 apps since 2015. We work with founders at every stage, from the first idea to production systems running for the NSW Government, Briometrix, Vivid, and Huskee. Some of those projects started as vibe-coded prototypes. All of them eventually needed a team.

If you are building a vibe-coded product and thinking about what comes next, AILED is worth a look. It covers AI-led growth specifically for SaaS founders and vibe-coded platforms.

How does vibe coding fit into a proper dev process?

The best way to think about it is as a first draft.

A good writer does not start from a blank page. They write a rough draft quickly, then edit. Vibe coding is the rough draft. It gets something on the page. A real development team then reviews it, rewrites what needs rewriting, and builds on the parts that are solid.

At Devwiz, we use AI-assisted development across the whole stack. That does not mean we hand everything to a prompt and ship it. It means we use AI to move faster while applying real engineering judgement to the decisions that matter.

That is the combination that works. Speed from AI. Quality from experience.

If you are building something and not sure whether to keep vibe coding or bring in a team, talk to us about web app development. We can tell you quickly which path makes sense for what you're building.

Frequently asked questions

Is vibe coding real programming?

Yes and no. The output is real code that runs on real servers. But the person doing the 'coding' is describing outcomes in plain English rather than writing syntax. Whether that counts as programming depends on your definition. What matters is whether the software works and whether it can be maintained. Vibe coding scores well on the first point and poorly on the second, especially as projects grow.

What tools do people use for vibe coding?

The most common ones are Cursor (an AI-first code editor), GitHub Copilot (an AI assistant inside VS Code and other editors), Bolt and v0 (browser-based tools for generating full apps from a description), and Replit (a cloud environment with built-in AI help). Each has different strengths. Cursor suits founders who want to stay close to the code. Bolt and v0 suit complete non-coders who want something running in minutes.

Can vibe coding replace a developer?

For simple, short-lived projects, sometimes. For anything complex, long-term, or customer-facing at scale, no. The AI writes code but does not make architectural decisions, catch security issues, or think about what happens when your user base grows by 10x. Those gaps add up. Most successful vibe-coded products eventually bring in a developer, either to fix problems or to build the next version properly.

How much does vibe coding cost?

The tools are cheap. Cursor runs around $20 per month. GitHub Copilot is similar. Bolt offers a free tier. The hidden cost is time spent debugging AI output that almost works, and the potential rebuild cost if the codebase becomes unmaintainable. For a prototype, the economics are great. For a production system, factor in the eventual cost of professional development on top.

What kinds of apps work best as vibe-coded builds?

Simple CRUD apps work well. That means apps that create, read, update, and delete data in a straightforward way. Landing pages, internal dashboards, booking tools, basic marketplaces, and simple SaaS prototypes all sit in the sweet spot. Apps that involve complex business logic, real-time data, high-security requirements, or multiple integrations are harder to get right with vibe coding alone.