What Is Vibe Coding? The New Way Founders Build Apps Without Devs

What Vibe Coding Actually Means

The term was coined by Andrej Karpathy in early 2025. His definition was straightforward: you describe what you want in plain English, the AI generates the code, you run it, and you keep prompting until it works. You are not reading the code line by line. You are steering the output.

That framing changed how a lot of non-technical founders thought about software. It made building feel accessible in a way that no-code tools had promised but rarely delivered for anything beyond simple websites or forms.

Vibe coding is not a single tool. It is a workflow that spans a range of AI-powered environments including Cursor, Bolt, Lovable, Replit Agent, and GitHub Copilot Workspace, among others.

Why This Matters More Than the Hype Suggests

Most articles about vibe coding focus on the novelty. A founder built something in a weekend. An app went viral. That framing misses the practical shift underneath.

Before this workflow existed, founders had two real options: hire a developer or use a no-code platform with significant constraints. Hiring a developer for an MVP in most markets runs between $25,000 and $80,000 and takes three to six months. No-code platforms work until they don’t, usually the moment you need a feature the platform didn’t anticipate.

Vibe coding adds a third path. You can now build closer to your actual vision, faster, at a fraction of the cost, without writing code yourself. The tradeoff is that you still need to think clearly about what you want to build.

How the Workflow Actually Runs

You start with a prompt that describes the app at a high level. Something like: “Build a web app where coaches can create assessment forms, clients fill them out, and results get stored by client profile.” From there, the AI generates an initial structure.

You review what it built, not by reading code, but by using the app. You identify what is wrong or missing, then you describe the fix in natural language. This loop continues until the product matches your requirements.

The skill in vibe coding is not technical. It is the ability to describe behavior precisely. Vague prompts produce vague software. Founders who can write a clear product requirements document tend to get much better outputs.

Most serious vibe coding sessions also involve a tool for deployment. Replit Agent handles this end-to-end. Bolt outputs code you can deploy through Netlify or Vercel. Cursor requires that you manage your own deployment environment.

What Kreante Has Seen Across 165+ Projects

We have built over 165 products across 35 countries, most of them in the last three years. The shift toward AI-assisted development has been visible and measurable in our own workflows.

In 2023, a typical client MVP at Kreante took eight to twelve weeks and cost between $18,000 and $35,000. By late 2025, projects with comparable scope were running four to six weeks at $8,000 to $18,000. The compression comes directly from AI-assisted code generation at the component and feature level.

One specific example: a logistics startup in Colombia needed a driver dispatch dashboard with real-time location tracking and route assignment. Traditional build estimate was $42,000 and fourteen weeks. Using a hybrid approach where our team used Cursor for component generation and custom logic review, we delivered in nine weeks at $22,000. The client got the same functional outcome at roughly half the original cost.

Another case involved a SaaS onboarding flow for an HR platform based in the Netherlands. The client had a non-technical co-founder who had already attempted vibe coding independently using Bolt. They had a working prototype in about four days but hit a wall on Stripe integration and user role permissions. We took their Bolt output, reviewed the architecture, and extended it with proper auth and billing logic. Total additional cost was $4,500. They launched six weeks after first contact.

That second case is increasingly common. Founders do the first 60 to 70 percent of the build themselves through vibe coding, then bring in a team to handle the parts that require real precision.

The Tools That Actually Get Used

Cursor is the most capable option for founders who are comfortable in a code editor environment. It does not hide the code from you. It generates, explains, and edits within your actual codebase. For technical co-founders or anyone willing to read code occasionally, Cursor produces the highest quality output.

Bolt is the entry point for non-technical founders. You describe an app, it builds a full-stack prototype in the browser, and you can deploy immediately. The quality of output for simple CRUD apps is genuinely impressive. The ceiling is lower than Cursor for complex projects, but the floor is higher for beginners.

Lovable sits between the two. It is optimized for SaaS interfaces specifically and has solid Supabase integration built in. Several clients at Kreante have used it to build internal tools in under a week.

Replit Agent is the most end-to-end option. It handles environment setup, code generation, and deployment in one place. It is particularly useful for founders who do not want to manage infrastructure at all.

None of these tools produce production-ready code without review for anything handling sensitive data, payments, or complex business logic. That is not a criticism. It is just the current state of the technology.

Where Vibe Coding Falls Short

Security is the most serious gap. AI-generated code frequently mishandles authentication flows, exposes sensitive environment variables, or skips input validation. A non-technical founder building a consumer app with user accounts and payment data needs someone with security experience to audit the code before launch.

State management in complex apps is another consistent weak point. For apps with simple data flows, vibe-coded output works well. When you have multiple user roles, real-time updates, and complex filtering, the AI tends to produce code that works in isolation but breaks at the edges.

Third-party API integrations are hit or miss. Common APIs like Stripe, Twilio, or SendGrid are well-represented in training data and usually integrate correctly. Less common or recently updated APIs often produce plausible-looking but broken integration code.

From Kreante’s project data, the average AI-first MVP requires between eight and fifteen hours of developer review before it is production-ready. That number climbs significantly for apps with payments, complex permissions, or real-time features.

The Real Skill Gap Is Not Coding

The founders who get the most out of vibe coding are not the ones who understand React or Python. They are the ones who can write a precise product specification.

If you can describe a user flow clearly, define what data needs to be stored, and articulate what happens when something goes wrong, you can direct an AI to build software that works. If you are vague about requirements, the AI will make assumptions, and those assumptions will create rework.

This is actually the same skill that separates founders who work well with human developers from those who do not. Vibe coding just makes the feedback loop much faster.

What This Means for Founders Building in 2026

The window to build a functional MVP has compressed from months to weeks for a large category of products. Internal tools, SaaS dashboards, client portals, booking systems, and simple marketplaces are all within reach of a non-technical founder with a clear product vision and a few hundred dollars in AI tool subscriptions.

The economics have shifted enough that the question is no longer whether to use AI in the build process. It is how much of the stack you let the AI handle before bringing in human review.

At Kreante, our current recommendation for most founder-led MVPs is to start in Bolt or Lovable, get to a working prototype, then bring in a developer for a structured review before handling real user data. That approach typically runs $5,000 to $12,000 total and produces a launch-ready product in three to five weeks.

The founders who try to skip the review step entirely are the ones who end up rebuilding six months later. The ones who treat vibe coding as the first phase rather than the complete solution tend to ship products that hold up.

Vibe coding is not a replacement for engineering judgment. It is a tool that makes engineering judgment more accessible to people who previously had no way to express it in software.