Design-to-code production workbench

For

Product teams and agencies turning design inputs into user interface designs and frontend code

Solves

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.

Delivers

Reviewed UI designs, frontend code and app store assets linked to source inputs

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce handoff cycles between design and frontend while keeping a reviewable record from input to shipped code.

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.
6. Generate app store screenshots, descriptions and icons.
7. Export designs and code to developer environments and command-line workflows.
8. Convert Figma designs into frontend code.
9. Build entire app interfaces or single components.
10. Refactor existing frontend code against agreed practices.
11. Work inside the developer's IDE.
12. Accept PNG, JPG and Sketch inputs.
13. Generate responsive code for multiple device sizes.
14. Provide drag-and-drop editing of layout, text, buttons and images.
15. Offer customizable components and templates.
16. Pull images from Unsplash with AI suggestions.
17. Provide a vector icon library.
18. Export PNG files and native app packages for iOS TestFlight testing.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewed design-and-code package with source references and unresolved questions.

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

What goes in, what comes out

The workflow

1. In
   Start with

   Text prompts, sketches, wireframes, images, Figma files and existing frontend code

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect text prompts

4. 3

   Sketches

5. 4

   Images

6. 5

   Figma files and existing frontend code

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Reviewed UI designs, frontend code and app store assets linked to source inputs

AI does the heavy lifting, people stay in charge

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.

What your team sees

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.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

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.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: generate UI from text prompts; generate UI from sketches, wireframes and images. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will product teams and agencies turning design inputs into user interface designs and frontend code use it to solve "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"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted screens per design hour and code corrections after handoff.
4. Measure, then decide. Track accepted screens per design hour and code corrections after handoff; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed UI designs, frontend code and app store assets. Retain the explicit scope boundary: One target framework and one component library; final design approval and production code review remain human.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist design and code QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One target framework and one component library; final design approval and production code review remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined design package. Offer a monthly production allowance after repeat demand. Quote complex multi-platform or native app work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed design-and-code package. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce handoff cycles between design and frontend while keeping a reviewable record from input to shipped code. Demonstrate a concrete reviewed design-and-code package using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Product teams and agencies turning design inputs into user interface designs and frontend code professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample design-and-code package from a small authorized input set, with a transparent calculation of accepted screens per design hour and code corrections after handoff and no promised savings.

The first 30 days

1. Week 1: interview five product teams and agencies turning design inputs into user interface designs and frontend code and inspect a recent example of design inputs, UI designs and frontend code living in separate rented tools.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted screens per design hour and code corrections after handoff, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted screens per design hour and code corrections after handoff. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted screens per design hour and code corrections after handoff; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed design-and-code package. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved components, code patterns and review examples, together with reliable delivery for a narrow product niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for product teams and agencies turning design inputs into user interface designs and frontend code. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Stitch, Stitch by Google, Kombai, Ocode Image to Code AI and Pixelmost - App mockups with AI, plus freelancers and design agencies. Compare this product with the buyer's present method on accepted screens per design hour and code corrections after handoff. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, image and code processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed UI designs, frontend code and app store assets. Track cost per accepted output, including correction work, unsuccessful cases and support.

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.