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EngineeringApril 23, 20267 min read

Scaling Next.js for Data-Intensive AI Dashboards

HV

Harsh Vashishtha

Author at The Intelligent Edge

Scaling Next.js for Data-Intensive AI Dashboards

Building an AI dashboard presents unique challenges. Unlike a traditional CRUD app, AI responses stream in token-by-token, requiring continuous UI updates. Here is how we scaled Next.js to handle it.

Streaming Tokens with React Server Components

The introduction of React Server Components and the Next.js App Router fundamentally changed how we handle data fetching. By utilizing Next.js Server Actions and the AI SDK, we can stream UI components directly from the server as the LLM generates them.

Optimizing Rendering

When rendering a markdown stream, using naive state updates causes immense layout thrashing. We optimized this by:

  • Implementing custom React hooks that debounce markdown parsing.
  • Using CSS grid to pre-allocate space for anticipated UI components to prevent cumulative layout shift (CLS).
  • Moving heavy client-side computations to Web Workers.

The result is a buttery smooth chat interface that handles massive data payloads without dropping a single frame.

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