AI app for it and development · no coding needed
Design-to-code delivery workspace
Reduce manual frontend rebuild work while keeping generated code inside the team's own standards.
Made for: Product teams and agencies converting Figma designs into maintained frontend code
What it does for you
The problem
Design handoff produces inconsistent frontend code, repeated manual rebuilds and drift between design files and the shipped codebase.
What it gives you
Developer-approved frontend code linked to the source design version
What you give it
Licensed design filesexisting codebase conventionsframework targetsdesign-system rules
Build your own version of AI Figma to Code by Anima, AI-Powered Figma to Code and more
One app with what these 10 AI tools do, yours to keep and change: AI Figma to Code by Anima, AI-Powered Figma to Code, Superflex, CodeParrot, Locofy Pro, Anima, UI2Code.ai, Designeer, Locofy: design-to-code agents, ion design.
Everything these tools do, in one app
- Figma to code Converts Figma designs into frontend code automatically.Found in AI Figma to Code by Anima, AI-Powered Figma to Code, CodeParrot and 5 more
- Responsive code output Generates code that adapts to different screen sizes and devices.Found in AI Figma to Code by Anima, AI-Powered Figma to Code, Locofy Pro and 2 more
- Multi-framework support Produces code for multiple frontend frameworks like React, Vue, Angular, Next.js, SwiftUI, and Flutter.Found in UI2Code.ai, Locofy Pro
- Reusable components Generates components that can be reused across projects.Found in AI Figma to Code by Anima, ion design
- Code customization Allows users to adjust the generated code to match project standards.Found in AI Figma to Code by Anima, AI-Powered Figma to Code, Locofy Pro
- Design system matching Ensures generated UI follows established design systems and brand styles.Found in Anima, ion design
- Existing codebase integration Integrates with existing codebases by reusing components and respecting coding standards.Found in CodeParrot, Locofy Pro, Locofy: design-to-code agents and 1 more
- Developer tool integration Works within developer environments like VS Code, CLI, Cursor, and Claude Code.Found in CodeParrot, Locofy Pro, Locofy: design-to-code agents
- Code export and sync Exports or synchronizes code with tools like GitHub and VS Code.Found in Locofy Pro, Locofy: design-to-code agents
- AI chat refinement Provides an AI chat interface to tune and customize generated code.Found in AI-Powered Figma to Code
- Screenshot to code Converts screenshots into frontend code.Found in CodeParrot
- Live site cloning Clones live websites to generate code from them.Found in Anima
- Playground for iteration Provides a playground to preview and iterate on generated code.Found in Anima
- Hosting and publishing Allows publishing prototypes with a custom domain.Found in Anima
- Team collaboration Facilitates collaboration between designers and developers with shared workspaces and handoff links.Found in Anima, CodeParrot
- Automatic dark mode Implements dark mode automatically in the generated code.Found in ion design
- Diff tracking Tracks changes in design source and pushes only differences to GitHub.Found in Locofy: design-to-code agents
- Curated design resources Provides a directory of design tools, components, and inspiration.Found in Designeer
How it works, step by step
- Convert Figma frames into frontend code
- Generate responsive output for different screen sizes
- Target multiple frameworks including React, Vue, Angular, Next.js, SwiftUI and Flutter
- Produce reusable components
- Allow code customization to match project standards
- Match generated UI to established design systems and brand styles
- Integrate with existing codebases by reusing components and respecting conventions
- Run inside VS Code, CLI, Cursor and Claude Code
- Export and sync code with GitHub and VS Code
- Refine generated code through an AI chat interface
- Convert screenshots into frontend code
- Clone live sites into code
- Provide a playground to preview and iterate
- Publish prototypes with a custom domain
- Support team collaboration with shared workspaces and handoff links
- Implement dark mode automatically
- Track design-source changes and push only differences to GitHub
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned developer-approved frontend code linked to the source design version 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 delivery workspace 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 delivery workspace 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 links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data199 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 manual frontend rebuild work while keeping generated code inside the team's own standards. For product teams and agencies converting Figma designs into maintained frontend code, convert licensed design files, existing codebase conventions, framework targets and design-system rules into developer-approved frontend code linked to the source design version. The benefit is a testable hypothesis, measured through accepted components per developer hour and rework after code review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed design files, existing codebase conventions, framework targets and design-system rules, then follow this sequence: 1. Convert Figma frames into frontend code. 2. Generate responsive output for different screen sizes. 3. Target multiple frameworks including React, Vue, Angular, Next.js, SwiftUI and Flutter. 4. Produce reusable components. 5. Allow code customization to match project standards. 6. Match generated UI to established design systems and brand styles. 7. Integrate with existing codebases by reusing components and respecting conventions. 8. Run inside VS Code, CLI, Cursor and Claude Code. 9. Export and sync code with GitHub and VS Code. 10. Refine generated code through an AI chat interface. 11. Convert screenshots into frontend code. 12. Clone live sites into code. 13. Provide a playground to preview and iterate. 14. Publish prototypes with a custom domain. 15. Support team collaboration with shared workspaces and handoff links. 16. Implement dark mode automatically. 17. Track design-source changes and push only differences to GitHub. Resolve uncertain cases with qualified reviewers, approve developer-approved frontend code linked to the source design version, and measure accepted components per developer hour and rework after code review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs 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 fixed framework target and licensed component library; final code review and architecture decisions remain with the development team. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve code ownership, source attribution, license accuracy and usage permissions. Development teams approve substantive changes and deployment scope. One fixed framework target and licensed component library; final code review and architecture decisions remain with the development team. 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 fixed framework target and licensed component library; final code review and architecture decisions remain with the development team. Implement one approved input format, a bounded representative case set and the first two task modules: convert Figma frames into frontend code; generate responsive output for different screen sizes. Support the remaining modules with operator review: target multiple frameworks, produce reusable components, allow code customization, match design systems, integrate with existing codebases, run inside developer environments, export and sync code, refine through AI chat, convert screenshots, clone live sites, provide a playground, publish prototypes, support team collaboration, implement dark mode and track design-source changes. 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
Designer-owned Figma files, authorized codebase access and permitted component libraries. Cloud code storage, design-file import/export and repository destinations. 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: Design source and mapping, Editable code workspace, Review and sync. Use a thumbnail gallery for projects, a large central code canvas beside the design preview, and a right-hand panel for framework targets, design-system rules and comments. Let users compare design and code versions side by side. Display draft, changes requested and approved states. Provide a review link with comments anchored to the relevant component. Make the task-specific outcome developer-approved frontend code linked to the source design version visible beside its evidence, review state and value baseline.
