GUIDE
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
SPEAKERS
Brent Locks
Co-Founder, Builder.io
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