Should I vibe code
Prompt-to-design tool for multi-screen mobile app UI, with Figma and code export
Prompt-to-mockup is a fun demo and a mediocre design partner. Build it, keep expectations low.
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Their verdict, the Starter price and the build-time estimate come from their entry, MIT-licensed. Checked 2026-08-03.
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Our verdict, the regret score and everything below it. Editorial and unsponsored — nobody can pay to be moved.
The honest answer
why the verdict is what it is
Generating screens from a prompt is very reachable now. What it will not do is hold a coherent design system across twelve screens, which is the actual job.
What actually breaks
not "if". the specific failures.
- Coherence across screens, because generating each one independently produces twelve screens from twelve different apps
- Design system discipline — the same button, the same spacing scale, the same type ramp — which is what makes a set of screens look designed
- Figma export fidelity, where layers arrive flattened, unnamed, or without auto-layout and a designer has to rebuild anyway
- States, since generated screens show the happy path and real apps are mostly empty, loading and error states
- Platform conventions, which differ between iOS and Android and are what make an interface feel native rather than generic
You generate twelve screens and they each look good in isolation, which is how you review them. Opened side by side in Figma, the primary button has four different heights, three corner radii and two shades of the same blue; the spacing between a title and its content is a different value on every screen. Nothing is wrong enough to point at. A designer looks at it for ten seconds and says it will be faster to start again, because fixing incoherence across twelve screens is more work than drawing them consistently once.
Is that you?
the verdict is a default, not a law
- Generation is constrained by a design system you define first — tokens, components, spacing scale
- The output is a starting point for a designer, and everyone knows that
- It generates variations of one screen rather than a whole app
- Screens are generated independently with no shared token set
- The export is treated as production-ready design
- Only happy-path screens are produced and the rest are assumed
- You are targeting both platforms with one output and calling it native
If you build it anyway
the checklist, then the prompt that enforces it
- Define the design system first — colour, type ramp, spacing scale, components — and generate strictly within it. Coherence has to be a constraint, not an outcome.
- Generate from a shared component library so the same element is literally the same element on every screen.
- Export with named layers, real auto-layout and components mapped to your library, or the export is a picture rather than a design file.
- Generate the unglamorous states too: empty, loading, error, long content, long names. They are most of an app.
- Pick one platform and follow its conventions. A design that is neither iOS nor Android reads as neither.
- Treat output as a first draft explicitly, in the interface, so nobody mistakes it for finished work.
Before you build a prompt-to-design tool, apply these and push back if I ask you to break them. 1. Require a design system before generating anything: colour tokens, a type ramp, a spacing scale, and a component set. Generate strictly within it. Tell me that independently generated screens produce something that looks like twelve different apps, and that this is the defining failure here. 2. Generate from shared component definitions, so the primary button on screen one is the same object as on screen nine — not a similar-looking reproduction. 3. Export to Figma with named layers, auto-layout applied, and components mapped to a library. If that fidelity is not achievable, say so plainly — an export a designer must rebuild is not an export. 4. Generate the states that are not the happy path: empty, loading, error, long text, long names, no network. Tell me these are most of a real app and are the first thing missing from generated designs. 5. Ask me which platform this targets and follow its conventions for navigation, controls and typography. Refuse to produce one design that claims to be both. 6. Check contrast against accessibility standards for every generated combination and reject failing pairs. 7. Label output as a draft in the interface itself. 8. Keep the design system editable and re-generate from it, so a token change propagates rather than requiring twelve edits. 9. Out of scope unless I ask: prototyping, handoff specs, code generation, animation.
That one keeps you out of trouble. For the prompt that actually builds it, canivibecodeit.com has one.
their build prompt ↗Or don’t build it
the boring option, and the way back out
$24.99 a month is reasonable for exploration and early concepts, which is what this category is genuinely good for. Neither buying nor building produces finished design — the value is in getting to something to react to quickly, and the coherence still comes from the system you define.
$24.99/mo is cheaper than your weekend.
Keep the design system as tokens in a portable format — JSON or a standard token spec — since that is the durable asset, not the generated screens. Screens are cheap to regenerate; a coherent token set and component library is the thing worth carrying forward.
MIT converter turning a DOM tree into editable Figma layers on paste; Sleek's own team ships it and the README says it runs in production there
open-source design tool where a multi-screen mobile file stays editable, if you want layers rather than a folder of PNGs
Apache-2.0 visual editor for React codebases, the nearest thing to click-to-edit; web-focused, and the hosted product is now waitlisted
Questions
Why does per-screen generation produce incoherence?
Because each generation is an independent sample. Without a shared token set and component library constraining the output, small variations accumulate — a few pixels of padding, a slightly different radius, a near-identical blue. Individually invisible, collectively they read as sloppiness, and they are tedious to reconcile after the fact.
Are the empty and error states really that important?
They are where users spend a surprising amount of time and where design most often fails. A generated set showing full lists and short names hides every hard decision: what a first-run screen says, how a failure is explained, what happens when a name is forty characters. Those decisions are the design work, not the happy path.
Every week, someone ships something they shouldn’t have.
New verdicts, the worst thing that landed in the trap, and the occasional incident report. No other email, ever.
The editor is hard, the template library is harder, and the font licensing is a legal department.
AI slide generation is a prompt and a template. The output was always going to be disposable.
Vector editors are a genuinely hard software category and always have been.
last reviewed 2026-08-03 · verdict is editorial and unsponsored · shared entry data from canivibecodeit under MIT · not legal advice