At Infa, we understand the challenges organizations face when adopting or transitioning between design systems. One of the most effective strategies we've identified is implementing a robust component tagging system in production environments. This approach significantly reduces migration friction and provides clear visibility into your UI ecosystem.
Design system adoption often slows down when teams hesitate to rework an entire product just to make it look slightly more modern. During a recent Inspect & Reflect session, design systems expert Lukas Oppermann shared valuable insights on how legacy systems and component adoption challenges can be tackled with a more flexible approach.
We at Infa have observed similar patterns across organizations of all sizes. The resistance to change typically stems from the perceived effort required for transition rather than the value of the design system itself. For many teams, the question isn't "Is this design system valuable?" but rather "How much work will it take to implement?"
Based on our research and industry best practices, we've identified three powerful approaches to tag components in production environments:
Adding abbreviations within class names can help track which system a component belongs to.
Example:
<button type="button" class="fui-Button r1alrhcs">Submit</button>
This approach helps with search-and-replace updates, reducing the effort required for design system transitions. When implementing class-based tagging:
Instead of using generic elements (div, input), this approach defines custom elements.
Example:
<nord-input id="email" label="Email"></nord-input>
This makes it clear which components belong to the design system while maintaining a semantic structure. Benefits include:
Implementation tip: When using element renaming, ensure your custom elements are properly defined and registered to avoid rendering issues. This approach works particularly well with Web Components and frameworks that support custom elements.
IBM Carbon adds extra parameters to elements (data-autoid, component ID).
Example:
<c4d-megamenu-right-navigation
class="c4d--masthead__tabpanel-child"
data-autoid="c4d--masthead__megamenu-right-navigation"
>
</c4d-megamenu-right-navigation>
This allows tools and automation (like AI-powered audits) to easily track component usage across production environments. We at Infa particularly recommend this approach for large-scale applications because:
Component tagging helps teams identify and track components during migration. This visibility is crucial for planning and executing design system transitions effectively. With proper tagging, you can:
A well-implemented tagging strategy reduces errors when rolling out updates or replacing old UI components. It creates a clear map of your component ecosystem, allowing teams to:
Perhaps most importantly, component tagging works exceptionally well with AI-driven tools like Infa AI, which can scan components and pages for migration planning. We at Infa believe that organizations reduce their migration time by up to 60% when using proper component tagging combined with our automated analysis tools.
When implementing a component tagging system, consider these best practices:
To ensure your component tagging strategy is effective, track these key performance indicators:
Component tagging in production is a powerful strategy that significantly simplifies design system adoption and migration. By implementing one of the approaches outlined above, organizations can gain better visibility into their UI ecosystem, reduce maintenance overhead, and leverage automation for smoother transitions.
We at Infa are committed to helping organizations implement effective design system strategies. Our tools are specifically designed to work with tagged components, providing powerful insights and automation capabilities that make design system adoption a smoother process. Learn more about design system implementation best practices or explore our component analysis tools.
Ready to transform your design system adoption strategy? Start with Infa for Free and discover how our AI-powered tools can help you implement effective component tagging across your applications.