From Design to Code: Using AI to Ship Websites And Apps With Enormous Efficiency

What's in this guide:

1. Stats Evaluating The Impact Of Design to Code Workflows On Productivity

Specific challenges top-tier companies have in turning Figma designs into live web pages and apps
Stats evaluating how design-to-code bottlenecks affect productivity in the design and development process

2. How Design-to-Code Tooling Evolved Into A Realistic Solution

The problems designer-developer handoff tools like Zeplin solved for early UI design tools
How the first take at automated design-to-code tooling solved some styling and CSS issues but introduced new problems
How AI and LLMs helped fulfill the design-to-code promise of turning designs into high-quality Javascript, HTML, React Native, iOS, and Android front-end code components

3. How Design-To-Code Tools Work With Design Systems

How AI design-to-code tools such as the Builder.io Figma plugin improve design system and component library utilization by helping teams automatically map design elements to existing reusable components
Practical examples of how design-to-code tools help developers create and integrate new components with their design systems and codebase

4. How to Use Design-To-Code Tools To Go Directly From Design To Live

Scenarios where you can bypass the development stage, moving directly from design to live production without a developer.
A design-to-code case study showcasing dramatic improvements in efficiency and time savings.

5. Practical Steps For Piloting Design-To-Code

Who in an organization should “own” the design-to-code tooling
Actionable step-by-step guidance on implementing design-to-code tools in your organization

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