Beyond Components: Why UI Libraries Must Evolve for the Vibe Coding Era

I’ve been watching the UI library scene lately, and honestly, it feels like we’re still building for a world that’s rapidly disappearing. Don’t get me wrong—I love React, Vue, and all their cousins. But when you’re deep in Vibe Coding mode, these traditional component libraries start feeling like trying to build a spaceship with woodworking tools.

Remember when Andrej Karpathy first introduced Vibe Coding? He described it as 「fully giving in to the vibes, embrace exponentials, and forget that the code even exists.」 That’s the mindset shift we need, but our current UI tooling just isn’t built for it. We’re still manually assembling components when we should be describing intentions and letting AI handle the assembly.

The fundamental problem is that traditional UI libraries assume humans will be manually writing and connecting components. But in Vibe Coding, 「Code is Capability, Intentions and Interfaces are Long-term Assets」 (Ten Principles of Vibe Coding). The actual React components or Vue templates become disposable artifacts—AI can regenerate them anytime. What matters are the clear intentions we express through prompts and the stable interfaces that define how different parts communicate.

Look at what’s happening in the industry. Microsoft reported that 90% of Fortune 100 companies were using GitHub Copilot back in Q2 ’25. The adoption curve is insane, but we’re still trying to fit this new paradigm into old containers. When I describe a complex dashboard interface to an AI assistant, I don’t want to specify whether I’m using Material-UI or Ant Design—I want to describe the user experience and let the system choose the optimal implementation.

This is where the principle 「AI Assembles, Aligned with Humans」 becomes crucial (Ten Principles of Vibe Coding). The future UI library won’t be a collection of pre-built components but a system of capability descriptions that AI can intelligently select and orchestrate. Humans define what needs to happen—「show real-time metrics with appropriate visualizations」—and AI handles the component selection, styling, and integration.

I’ve been experimenting with this approach, and the results are mind-blowing. Instead of browsing component docs, I describe interfaces in natural language: 「Create a data table that automatically paginates, sorts, and filters based on the API response structure.」 The AI generates not just the table component but handles all the state management and API integration. And if I need changes? I modify the intention prompt, not the code.

The shift toward 「Connect All Capabilities with Standards」 (Ten Principles of Vibe Coding) means we need UI libraries that speak standardized semantic languages. Think MCP (Model Context Protocol) for UI capabilities—clear descriptions of what components can do, not just how they look. This allows different AI systems to collaborate on interface assembly while maintaining consistency and accessibility.

Here’s what excites me most: we’re moving toward a world where 「Everyone Programs, Professional Governance」 (Ten Principles of Vibe Coding). Business users will describe interfaces in their own language, and AI will assemble appropriate UI capabilities. Professionals will focus on maintaining the ecosystem—ensuring security, performance, and design consistency across automatically generated interfaces.

So where does this leave existing UI libraries? They need to evolve from component catalogs to capability marketplaces. Instead of exporting React components, they should provide AI-readable descriptions of UI capabilities with standardized interfaces. The value shifts from 「here are beautiful buttons」 to 「here are reliable button capabilities that AI can intelligently deploy in context.」

The companies that get this right will dominate the next era of software development. We’re not just talking about better developer experience—we’re talking about enabling entirely new categories of users to create sophisticated interfaces. When your marketing team can describe a complex analytics dashboard and have it materialize instantly, that’s when you know the paradigm has truly shifted.

Are we ready to let go of our beloved component libraries and embrace something more fluid, more intelligent? The vibes are shifting—will our tools keep up?