AI app for it and development · no coding needed
Design-to-code production workbench
Reduce handoff cycles between design and frontend while keeping a reviewable record from input to shipped code.
Made for: Product teams and agencies turning design inputs into user interface designs and frontend code
What it does for you
The problem
Design inputs, UI designs and frontend code live in separate rented tools, so teams re-enter work, lose review history and cannot trace which design version produced which code.
What it gives you
Reviewed UI designs, frontend code and app store assets linked to source inputs
What you give it
Text promptssketcheswireframesimagesFigma filesexisting frontend code
Build your own version of Stitch, Stitch by Google and more
One app with what these 5 AI tools do, yours to keep and change: Stitch, Stitch by Google, Kombai, Ocode Image to Code AI, Pixelmost - App mockups with AI.
Everything these tools do, in one app
- Generate UI from prompts Creates user interface designs based on text descriptions or simple prompts.Found in Stitch, Stitch by Google, Pixelmost - App mockups with AI
- Generate UI from images Creates user interface designs from input images such as sketches, wireframes, or design files.Found in Stitch, Stitch by Google, Kombai and 1 more
- Generate frontend code Produces frontend code (e.g., HTML, CSS, JavaScript) alongside the design.Found in Stitch, Stitch by Google, Kombai and 1 more
- Export to Figma Exports designs directly to Figma for further editing and collaboration.Found in Stitch
- Multi-step design agent An agent that handles multi-step design tasks and iterative refinements within a single flow.Found in Stitch by Google
- Generate app store assets Automatically generates App Store assets such as screenshots, descriptions, and icons.Found in Stitch by Google
- Export to developer environments Exports designs and code directly into developer environments and command-line workflows.Found in Stitch by Google
- Convert Figma to code Converts UI designs from Figma into clean, production-grade frontend code.Found in Kombai
- Build entire app interfaces Builds entire app interfaces or individual components from various inputs.Found in Kombai
- Refactor frontend code Refactors existing frontend code while adhering to best practices.Found in Kombai
- IDE integration Works directly within the developer’s IDE for seamless workflow integration.Found in Kombai
- Support multiple input formats Supports multiple design input formats such as PNG, JPG, and Sketch files.Found in Ocode Image to Code AI
- Responsive code generation Generates responsive code to ensure compatibility across devices.Found in Ocode Image to Code AI
- Drag-and-drop interface Provides a user-friendly interface with drag-and-drop functionality.Found in Ocode Image to Code AI
- Customizable components Offers customizable components and templates with options to edit images, text, buttons, and layout properties.Found in Pixelmost - App mockups with AI
- Unsplash integration Integrates with Unsplash for high-quality images, with AI suggestions for visual content.Found in Pixelmost - App mockups with AI
- Vector icon library Provides access to over 11,000 free vector icons to enhance app mockups.Found in Pixelmost - App mockups with AI
- Export to PNG and native Exports designs as PNG files and supports upcoming native app exports for iOS TestFlight testing.Found in Pixelmost - App mockups with AI
How it works, step by step
- Generate UI from text prompts
- Generate UI from sketches, wireframes and images
- Generate responsive frontend code alongside the design
- Export designs to Figma
- Run a multi-step design agent for iterative refinement
- Generate app store screenshots, descriptions and icons
- Export designs and code to developer environments and command-line workflows
- Convert Figma designs into frontend code
- Build entire app interfaces or single components
- Refactor existing frontend code against agreed practices
- Work inside the developer's IDE
- Accept PNG, JPG and Sketch inputs
- Generate responsive code for multiple device sizes
- Provide drag-and-drop editing of layout, text, buttons and images
- Offer customizable components and templates
- Pull images from Unsplash with AI suggestions
- Provide a vector icon library
- Export PNG files and native app packages for iOS TestFlight testing
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed design-and-code package with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Design-to-code production workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Design-to-code production workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce handoff cycles between design and frontend while keeping a reviewable record from input to shipped code. For product teams and agencies turning design inputs into user interface designs and frontend code, convert text prompts, sketches, images and Figma files into reviewed UI designs, frontend code and app store assets in one owned workspace. The benefit is a testable hypothesis, measured through accepted screens per design hour and code corrections after handoff; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect text prompts, sketches, images, Figma files and existing frontend code, then follow this sequence: 1. Generate UI from text prompts. 2. Generate UI from sketches, wireframes and images. 3. Generate responsive frontend code alongside the design. 4. Export designs to Figma. 5. Run a multi-step design agent for iterative refinement. Resolve uncertain cases with qualified reviewers, approve the reviewed design-and-code package, and measure accepted screens per design hour and code corrections after handoff against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate designs, code and assets for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One target framework and one component library; final design approval and production code review remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve design intent, source attribution, code accuracy and usage permissions. Named owners approve substantive design and code changes and release scope. One target framework and one component library; final design approval and production code review remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One target framework and one component library; final design approval and production code review remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate UI from text prompts; generate UI from sketches, wireframes and images. Support the third module with operator review: generate responsive frontend code alongside the design. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Figma, developer IDEs, command-line workflows, app store submission channels, Unsplash and vector icon libraries. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Input and brief, Editable design canvas, Code and export review. Use a thumbnail gallery for projects, a large central design canvas, and a right-hand panel for inputs, components, code and comments. Let users compare design versions and generated code side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant screen or component. Make the task-specific outcome reviewed UI designs, frontend code and app store assets visible beside its evidence, review state and value baseline.
