Compare tools and practices for creating accessible documentation—semantic HTML, keyboard support, ARIA, contrast checks, automated audits and manual testing.
Top Tools for Accessible Documentation
Compare tools and practices for creating accessible documentation—semantic HTML, keyboard support, ARIA, contrast checks, automated audits and manual testing.
Checklist for keeping design systems current: governance, tokens, components, versioning, accessibility, automation, and regular maintenance.
Use semantic HTML, clear headings, meaningful alt text, keyboard navigation, and screen reader testing to make your site accessible.
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Google to revamp Gemini app UX, add native macOS app and a mobile AI Studio app for developers.
Resolve friction between design and development with early collaboration, clear handoffs, code-backed prototypes, and regular retrospectives.
Centralize colors, spacing, and typography into reusable tokens for consistent styling, instant runtime theming, and scalable React apps.
Centralize breakpoints, use hooks and CSS-in-JS, and build reusable React components to automate responsive layouts and simplify cross-device testing.
Structured design-to-code handoffs—early dev input, clear communication, and code-backed design systems—cut rework, speed delivery, and boost product quality.
Explore how AI transforms the design-to-code handoff by automating tasks, enhancing collaboration, and improving efficiency for teams.
Reusable components streamline prototyping by enhancing collaboration, saving time, and ensuring design consistency across projects.
Explore the strengths and challenges of AI-driven and manual design system management to find the right balance for your team’s needs.
Explore top responsive code export tools that streamline converting design files into production-ready React components, enhancing collaboration and efficiency.
No-code automation bridges the design-development gap, enhancing collaboration and speeding up product workflows by transforming designs into code seamlessly.
Explore how AI transforms design-to-code workflows, enhancing collaboration and automating version control for more efficient development.
Learn how AI error detection enhances code quality, speeds up development, and improves collaboration between teams in design-to-code workflows.