Guide

What is vibe coding?

Vibe coding is a way to build software by describing what you want to an AI coding system. You direct the product, test what it creates, and keep refining it through conversation.

Reviewed by the Vibecode team on August 21, 2026

Vibe coding in one sentence

You describe the outcome, the AI writes and changes the software, and you judge whether the result works.

Where the term came from

Andrej Karpathy coined vibe coding in February 2025 to describe a more conversational way of programming: communicate the outcome you want, let an AI system handle much of the implementation, and steer the result through feedback.

The important shift is the level of abstraction. Instead of beginning with syntax, algorithms, and framework choices, the builder begins with a product behavior or user experience. The AI translates that intent into software, while the builder remains responsible for deciding whether it is correct.

How vibe coding works

  1. Step 1

    Describe the product

    State who the app is for, what they need to do, and what a successful first version includes.

  2. Step 2

    Generate a working version

    The AI creates screens, data models, integrations, and application logic from the description.

  3. Step 3

    Use the app

    Click through the real workflow. Check empty states, errors, permissions, payments, and small-screen behavior.

  4. Step 4

    Revise with evidence

    Give the AI a concrete failure or desired change. Repeat until the important workflows hold up.

Vibe coding compared with traditional development and no-code

ApproachHow you buildMain advantageMain constraint
Vibe codingDescribe outcomes and revise through promptsFast path from intent to working softwareGenerated behavior still needs verification
Traditional developmentDesign and implement the code directlyPrecise control over architecture and behaviorRequires more technical skill and implementation time
Visual no-codeConfigure components, data, and workflowsPredictable visual building blocksFlexibility depends on the platform model

Where it works well

  • Testing a product idea with real users.
  • Building internal tools and focused business workflows.
  • Creating mobile and web apps without assembling a development team first.
  • Turning a clear specification into a working first version.

Where judgment still matters

  • Security, privacy, and access control.
  • Payments and other irreversible actions.
  • Performance under real traffic and data volume.
  • App Store rules and production monitoring.

Who uses vibe coding?

First-time builders

People with a product idea who want to test it without hiring a development team first.

Founders and product teams

Teams creating prototypes, customer experiments, and focused internal tools.

Designers

People who want to turn an interaction concept into a working product instead of a static mockup.

Developers

Engineers who use AI to generate routine code, explore unfamiliar systems, or move through implementation faster.

What it looks like in practice

Two builders we interviewed on the Vibecode blog show the range, from a weekend project to a months-long product.

Daily Grid

A full-stack software engineer built this daily logic-puzzle game in about 20 hours over a weekend for the Vibecode Holiday Challenge, finished third out of 49 entries, then spent three more weeks getting it ready for the App Store.

Read the Daily Grid case study

Project Adulting

A commercial real estate developer with no coding experience spent four months building this personal-finance app, published it to the App Store, and recently passed 100 downloads.

Read the Project Adulting case study

Vibe coding is not the same as ignoring the code

AI can write a large amount of software quickly. It cannot decide whether the product is safe, useful, or ready for customers. That responsibility stays with the person shipping it.

A good vibe-coding workflow keeps the fast conversational loop and adds ordinary product discipline: clear requirements, real-user testing, backups, monitoring, and review for sensitive features.

How to choose a vibe-coding tool

  • Start with the output you need: mobile, web, or both.
  • Check how the product handles data, authentication, APIs, and deployment.
  • Build one real workflow before comparing screenshots or feature lists.
  • Confirm that you can test and publish through the channel your customers use.

See our AI mobile app builder guide or browse the direct product comparisons.

Frequently asked questions

What does vibe coding mean?

Vibe coding means describing software in natural language and asking an AI coding system to create or change it. The person directs the product and reviews the result instead of writing every line by hand.

Who coined the term vibe coding?

Andrej Karpathy coined the term in February 2025 to describe a conversational style of programming in which an AI handles much of the implementation.

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

No coding experience is required to start. Technical knowledge still helps when reviewing security, data handling, payments, and production behavior.

Can vibe-coded apps go to the App Store?

Yes. An AI-built app can be published if it meets Apple's technical, privacy, content, and account requirements. Vibecode includes a guided App Store publishing workflow.

Is vibe coding only for prototypes?

No, but production software needs testing and review regardless of how it was created. The useful distinction is not AI versus hand-written code. It is whether the team verifies the app's behavior before users depend on it.

How is vibe coding different from no-code?

Traditional no-code products usually ask you to assemble an application from a platform's visual components and workflows. Vibe-coding systems generate or change software from natural-language instructions. Some products combine both approaches.

Build the first version today

Describe the app you want. Vibecode creates a working project you can preview and revise.

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What Is Vibe Coding? A Practical Guide to Building Apps With AI