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What is vibe coding? How it works and where it fails

Better Design

Direct answer

Vibe coding means building software by describing an outcome to an AI tool and refining its work through conversation. The human steers the product while the model writes much of the code. It is fast for exploration, but production requires inspection, testing, security review, and human ownership.

A tactile loop connecting a prompt card, cursor tool, interface, and review lens

What does vibe coding mean?

Andrej Karpathy introduced the phrase in February 2025 while describing an informal workflow in which he spoke requests to an AI tool, accepted changes, ran the result, and responded to what he saw. The memorable part was not simply using autocomplete. It was letting natural-language intent drive most of the implementation loop.

Today, people also use the term more broadly for building applications through chat-based builders and coding agents. That broader usage is useful, but it can hide an important distinction: asking AI to write code is not the same as giving up responsibility for the code.

How does vibe coding work?

A productive workflow is a loop, not one perfect prompt. You define a narrow outcome, let the agent make a bounded change, inspect the rendered result and the code, then give the next instruction. Each pass should reduce uncertainty.

The prompt-to-product loop

Five stages keep the speed of conversational building without losing control of the result.

A hand-drawn five-stage loop connecting Define, Prompt, Generate, Inspect, and Verify.
  1. Define: Name the user, the job, and the constraints.
  2. Prompt: Ask for one observable change with clear boundaries.
  3. Generate: Let the builder or coding agent implement the change.
  4. Inspect: Read the diff and use the interface at realistic sizes.
  5. Verify: Run tests, accessibility checks, and a security review.

What is vibe coding good for?

The strongest use cases have quick feedback, limited consequences, and an easy path back when a change fails. The faster you can see the result and verify it, the more useful the conversational loop becomes.

  • Exploring an idea before investing in a full product build.
  • Creating a small internal tool with a narrow audience and reversible data.
  • Scaffolding a familiar interface or repetitive integration.
  • Learning how an application is assembled by changing and inspecting a real project.
  • Producing a working prototype that a designer, developer, or customer can react to.

Where does vibe coding fail?

A passing preview is evidence that one path rendered. It is not evidence that the product is secure, accessible, reliable, or maintainable. Those qualities need separate checks.

  • Hidden security assumptions, especially around authentication, authorization, secrets, and user data.
  • Large changes that mix product decisions, architecture, data migration, and interface work in one prompt.
  • Generated code that appears to work in one demo state but fails with loading, errors, long content, or a narrow viewport.
  • Dependencies and APIs the model remembers incorrectly or uses without checking current documentation.
  • A codebase nobody on the team understands well enough to maintain after the conversation ends.

Vibe coding versus AI-assisted development

Scope
Not recommended
Informal

Ideas expand

Recommended
Controlled

One outcome

Code review
Not recommended
Informal

Skipped after preview

Recommended
Controlled

Changes inspected

Verification
Not recommended
Informal

Happy path only

Recommended
Controlled

Risks tested

Design
Not recommended
Informal

Prompted restyling

Recommended
Controlled

System reused

Ownership
Not recommended
Informal

Output accepted

Recommended
Controlled

Team owns it

Where does Better Design fit?

Better Design gives compatible coding agents a visual system, UI and UX principles, editable registry components, and review rules. The agent still writes the application code. Better Design helps it make and check interface decisions inside the workflow the team already uses.

That makes the prompt more durable. Instead of repeatedly asking for a cleaner interface, the agent can retrieve the approved tokens, components, behavior guidance, and review criteria before it edits the screen.

Steal this workflow

Run this guide in your own assistant. The prompt carries the guide link and the workflow summary, so the assistant can adapt it to your project.

Read the guide "What is vibe coding? How it works and where it fails" at https://better-design.com/guides/what-is-vibe-coding and help me apply it to my project.

Vibe coding means building software by describing an outcome to an AI tool and refining its work through conversation. The human steers the product while the model writes much of the code. It is fast for exploration, but production requires inspection, testing, security review, and human ownership.

Start by asking what I am building and which tools I use. Then walk me through the workflow step by step, adapted to my answers.

Claude and ChatGPT open with the prompt filled in. Gemini copies the prompt to your clipboard first, so paste it when the app opens.

Questions

Is vibe coding the same as no-code?

No. No-code tools usually constrain work to a visual platform. Vibe coding often produces a real codebase through natural-language instructions, even when the person directing it rarely edits that code manually.

Do you need programming experience to vibe code?

You can start without programming experience, but technical knowledge becomes increasingly valuable as the project gains users, sensitive data, integrations, or complex behavior.

Can vibe-coded software go into production?

Yes, if the resulting code receives the same architecture, security, accessibility, testing, observability, and maintenance work expected from any production software. The generation method does not remove those requirements.

Does Better Design generate the whole application?

No. Better Design supplies design-system context, editable components, interface guidance, and review tools to a compatible coding agent. The agent and repository remain responsible for implementation.

Sources