Is the generated UI secure for production use?

Yes, the patterns include best practices for 'use server' boundaries, ensuring that sensitive logic stays on the server while only sanitized UI components reach the client.

What is Generative UI in the context of Vercel AI SDK?

Generative UI refers to the pattern of using AI models to dynamically select and stream React components to the client, allowing the interface to adapt specifically to the model's output and data.

Does this skill require Next.js App Router?

Yes, these patterns are specifically designed for Next.js 13.4+ using the App Router and React Server Components (RSC) for optimal streaming performance.

How does tool-based UI generation work?

It utilizes the streamUI function to map AI tool calls to specific React components. When the AI determines a tool should be used, the corresponding UI component is rendered and streamed.

Generative UI Patterns

Name: Generative UI Patterns
Author: vanman2024

byvanman2024

Design Tools

Implements dynamic, AI-generated user interfaces using Vercel AI SDK React Server Components and real-time streaming patterns.

About

This skill provides a comprehensive toolkit for building Generative UI in Next.js applications by leveraging the Vercel AI SDK's React Server Component (RSC) capabilities. It offers standardized implementation patterns for server-side streaming, tool-based dynamic UI generation, and seamless client-server coordination, enabling developers to create sophisticated interfaces that evolve in real-time based on AI model outputs and tool logic.

Key Features

Performance-optimized patterns including code splitting and caching strategies
Server-side streaming component templates for real-time AI responses
Tool-based dynamic UI generation for automated component selection
Environment validation scripts for Next.js App Router and RSC compatibility
0 GitHub stars
Pre-configured client-server coordination patterns for hydration management

Use Cases

Creating dynamic multi-step forms that adapt based on AI reasoning
Building real-time AI-generated data visualizations and interactive charts
Implementing streaming AI dashboards with modular, component-based layouts

About

Key Features

Performance-optimized patterns including code splitting and caching strategies
Server-side streaming component templates for real-time AI responses
Tool-based dynamic UI generation for automated component selection
Environment validation scripts for Next.js App Router and RSC compatibility
0 GitHub stars
Pre-configured client-server coordination patterns for hydration management

Use Cases

Creating dynamic multi-step forms that adapt based on AI reasoning
Building real-time AI-generated data visualizations and interactive charts
Implementing streaming AI dashboards with modular, component-based layouts