What Is Vibe Design? The Definitive Guide for Product Builders, Designers, and Creative Teams

Vibe Design - A Concept That Just Got a Name

Creative work has always involved describing an idea and having someone skilled make it real. Vibe design follows the same principle — except the “someone” is AI, ready whenever you are, no brief needed. You describe what you want through text, images, brand assets, or sketches, and the AI generates the design. You direct the process; the tool handles the making.

The term itself is not new but was brought into mainstream use in early 2026 by Google via their Stitch announcement, and within a day it was appearing across The Register, CNBC, and TechRadar. The practice it describes had been building for well over a year — in Figma's AI features, in generative design tools, in the growing number of products letting users create from a prompt rather than from a toolbox.

Today, we'll define what vibe design actually is, traces where the idea came from, and explains what it means for people building products.

Where the Term Comes From: Vibe Coding's Design Sibling

To understand vibe design, it helps to start with the concept it's directly descended from: vibe coding.

Former Director of AI at Tesla and co-founder of OpenAI, Andrej Karpathy coined "vibe coding" in early 2025 to describe a shift in how developers work with AI-generated code. The idea: instead of writing implementation yourself, you describe what you want in natural language and an AI writes the code. The developer's role shifts from implementation to direction. You stop thinking about how things are built and focus entirely on what you want to create.

Vibe design is the same shift applied to visual creation. Instead of opening a design tool and manually placing elements, adjusting colors, choosing fonts and spacing, you describe what you want — in words, or by uploading a reference image, a photo, a sketch, a brand kit — and the design takes shape. The phrase "vibe coding design" captures this lineage neatly: it's the same intent-first principle, moved from engineering into the visual layer.

The underlying movement had been gathering momentum since AI image generators went mainstream, accelerating rapidly as tools like Figma Make, Lovart, and now Google Stitch brought the concept directly into design workflows. The label arrived late to a trend that had already changed how a lot of creative work gets done.

What Vibe Design Actually Means: A Working Definition

Here is a working definition that holds up across tools and use cases:

Vibe design is a creative workflow in which the primary input is intent — described in natural language or visual references — rather than manual manipulation of design tools. The designer's role becomes one of direction, curation, and refinement rather than construction.

Three things define a genuine vibe design workflow:

1. Intent-first input. The starting point is a brief, a description, a reference image, or a combination — not a blank canvas and a toolbox. You're communicating what you want, not building it.

2. Generative execution. An AI interprets that intent and produces a designed output — a layout, a color scheme, a complete page, a set of variations. The construction step is handled by the system.

3. Human refinement in the loop. The human stays involved throughout — approving directions, adjusting outputs, steering away from things that don't work. The AI handles execution; the human handles judgment.

What vibe design is not: it's not simply using an AI image generator to produce pictures. Image generation is one possible input into a vibe design workflow, not the workflow itself. Vibe design produces editable, structured design outputs — layouts, components, documents, campaigns — not static images. The output is something you can work with, not just something you can look at.

How It Differs from AI-Assisted Design

"AI-assisted design" has covered a lot of ground over the past few years: autocomplete for design tokens, background removal, content generation within a layout. These are useful additions to a manual workflow. But in all of them, the designer still drives — AI is a tool called on for specific tasks while the human remains in the seat.

Vibe design flips the ratio. The AI drives the initial creation; the human steers and refines. It's a different relationship with the tool, not a faster version of the same one.

The distinction matters because it changes three things:

• What skills are most useful. Writing clear, directed prompts and making fast curatorial judgments matters more than knowing every keyboard shortcut.
• What the workflow looks like. You're reviewing and steering outputs rather than constructing from scratch.
• What software is relevant. Vibe design tools are built around a different interaction model than tools built to accelerate traditional manual design.

Vibe Design in Practice: Three Scenarios

The best way to make this concrete is to show what an AI design workflow built around vibe design actually looks like. These three scenarios cover the range of contexts where it's becoming relevant.

Scenario 1: A Marketing Team, No Designer Available

A marketing manager at a mid-sized e-commerce brand needs a product launch campaign for social media. There's no designer available this week — they're tied up on a bigger project.

She opens the creative tool embedded in their marketing platform, uploads the product photo and the brand guidelines, and types: "Create a campaign for our summer collection — clean, minimal, white space heavy, headline-driven."

She receives a set of formatted, brand-consistent assets sized for each social channel. The layouts are on-brand. The typography follows the guidelines she uploaded. She adjusts the headline copy on two of the assets and swaps one background color. The whole thing takes 12 minutes.

No design skills required. No third-party tool. No waiting for a designer to become available. The campaign goes out on schedule.

Scenario 2: A Designer Exploring Variations

A senior designer is working on a brand campaign for a luxury lifestyle client. She's settled on a layout she likes, but she can't land on the right color direction — everything she's tried manually feels either too cold or too safe, and exporting variations to compare them side by side is eating time she doesn't have.

Instead, she types a single instruction into the agent chat: "Add a panel on the left with five color theme presets I can click to instantly apply to my design."

The agent builds the panel directly inside the editor. Five named presets — Warm Sand, Midnight, Rose Quartz, Forest, Slate Blue — each applying a complete color theme across the entire design in one click: backgrounds, accents, headings, body text, all updated together. She works through all five in under a minute and finds the direction she was looking for without typing another prompt.

The variation-exploration workflow, at its most useful, doesn't just produce more outputs — it builds the tools you need to make the decision faster.

Scenario 3: A Product Team Embedding Creative Capability

A print-on-demand platform serves retailers and small brands who need to produce product catalogues regularly but don't have in-house design resource. One of their customers — a retailer for a furniture brand — opens the editor, pastes a CSV of five products into the agent chat, and describes the layout style she wants: two-column landscape, typography-led, minimal, referencing the aesthetic of Hay, Muuto, and Frama.

The agent generates a complete five-page catalogue inside the editor — one page per product, consistent layout throughout, with product names, descriptions, prices, and photo placeholders already in place. She follows up in plain language: "Pre-fill the photo placeholders with elegant product photography, make them black and white, soft contrast." The agent updates all five pages. She adjusts one headline manually and exports.

The platform's product team didn't build that generation capability from scratch. They integrated it through an SDK that delivers the editor, the agent, and the brand and template context layer as a single package — no separate AI infrastructure to build or wire up. Their users get a professional catalogue in a workflow that takes minutes rather than days.

This is the scenario most product builders should be paying closest attention to.

The Vibe Design Tools Shaping the Space Right Now

Several tools are explicitly built around this workflow. The most useful way to compare them is by where the vibe design experience actually lives — because that variable matters more than any feature list when you're deciding how to offer this capability to your users.

Google Stitch is built around the idea that UI design should start with a conversation. You describe a screen — its purpose, the actions it needs to support, the general feel — and Stitch produces an interface design you can refine. It's aimed at developers and UI/UX designers who want to move faster in the early stages of building a product interface. Where it works well is in getting from a rough idea to a structured screen layout without having to make every decision from scratch.

Figma Make extends the environment that product designers already work in. Because it lives inside Figma, it has access to your existing components, tokens, and design system. The prompt-to-prototype workflow is useful for designers who want to explore how a brief might translate into a working layout without manually composing every frame. Its biggest advantage is that the output lands directly in a space where a full design team can take over.

Lovart is focused on graphic and campaign creation rather than UI or product design. It's built for the kind of work that marketing creatives and solo designers do a lot of — producing visual assets for social, campaigns, brand activations. The emphasis is on speed and aesthetic quality for graphic outputs rather than on structured, component-based design systems.

IMG.LY takes a different approach to where the agent lives. Rather than a standalone product that users visit, the design agent is embedded directly inside the editor — which sits inside your product via SDK. The concrete thing it does well is maintaining brand and template context throughout the generation process, because that context is already loaded in the editor your users are working in. Product teams get a generative capability they didn't have to build from scratch; their users get it without ever leaving the product.

Where Vibe Design Has Limits

Vibe design works well when there's something to work from — a reference image, a brand kit, an existing visual direction. When there's genuinely nothing to draw from, outputs tend toward the generic. A completely new brand identity with no existing visual language is a poor fit for a vibe design workflow; that kind of work still benefits from the deliberate, decision-by-decision process of traditional design.

It's also less suited to accessibility-critical UI, where precise specification — contrast ratios, touch targets, interaction states — matters more than mood or aesthetic direction. A generated layout might look right without being accessible, and catching that requires careful manual review.

Finally, the more technically constrained the brief, the more refinement the output will need. Vibe design compresses the path to a starting point; it doesn't always compress the path to a final, production-ready output. Teams that go in expecting to iterate will get more out of it than teams that expect to export and ship.

What Vibe Design Means for Product Builders

Most writing about vibe design focuses on designers and developers as the end users of a standalone tool. That leaves out the less-covered angle: what it means for the people building products that other people use to create things.

If your product involves any kind of creative output — marketing materials, product customisation, print assets, presentations, social content, ad creative — your users are starting to expect to describe what they want and have something generated. That expectation is forming now. It will harden fast. Meeting it without sending users to a third-party tool is a competitive advantage today. Soon it will be a baseline expectation.

The core decision is whether to send users to a standalone tool or embed the capability inside your product. Sending users to an external tool is the path of least resistance, but it comes with real costs: context loss, experience fragmentation, and the risk that your users build habits around someone else's product. Embedding keeps the creative conversation inside your product, where your brand constraints, templates, and workflows are already loaded.

When thinking through the approach, the relevant questions are: Do your users need to stay inside your product to complete their workflow? Do you have brand or template constraints that need to be enforced at the point of creation? Is the creative output something your users will continue to edit inside your product after it's generated? If the answer to any of those is yes, embedding is almost always the better fit.

The integration path for this kind of capability is shorter than most teams expect. An SDK like IMG.LY gives you a fully featured embeddable editor — with the AI design agent already inside it — so you're configuring an integration rather than building a capability from the ground up. The editor, the agent, and the brand and template context layer all come as a single integrated package, meaning there's no separate AI infrastructure to build, host, or wire up to your product.

The Human Element: Vibe Design Is Not Autonomous Design

A common concern about vibe design workflows is that they reduce the role of skill and judgment in creative work. The evidence so far points the other way.

The most effective workflows keep the human firmly in control of direction, curation, and final judgment. The AI generates; the human decides what's good, what fits the brief, what needs to change. Removing that layer doesn't improve outcomes — it just produces more output with no quality filter.

What changes is not whether human judgment matters, but at which stage it matters most. In a traditional design workflow, judgment is exercised continuously — at every click, every color choice, every alignment decision. In a vibe design workflow, judgment operates at a higher level: Is this the right direction? Does this match the intent? What needs to change?

The craft is still there. The instruments are different.

A Shift That's Already Underway

Vibe design isn't a trend arriving from the future. It's a name for a shift that's been building for several years and just became visible enough to label properly.

The creative AI tools exist. The workflows are being adopted. The user expectation is forming. Naming the practice in 2026 didn't create the movement — it just gave it a shared vocabulary that makes it easier to talk about and build toward.

For product builders, the question is not whether vibe design will be part of the creative software landscape. It already is. The question is whether your product will enable it or require your users to leave to find it elsewhere.

If what you're building a product where your users create with AI inside your editor without leaving — that's exactly what IMG.LY is built for. Talk to our team to see how it can fit inside your stack.