Learn how to build an enterprise React Data Grid with Claude Code, Ignite UI for React, the Ignite UI CLI, Agent Skills, and MCP servers. See two workflows: adding Ignite UI to an existing React app or starting from the Ignite UI CLI.
Infragistics Blog
When your React application needs to display 10,000, 100,000, or 1,000,000 rows, grid performance becomes an architectural concern rather than a UI detail. Large datasets expose weaknesses quickly: oversized DOM trees, scroll jank, blocked main-thread filtering, expensive re-renders, and poor memory behavior under live updates. This guide explains what makes a React data grid suitable […]
Choosing between a React Tree Grid and a Hierarchical Grid can significantly impact your app’s performance, usability, and scalability. While both components handle hierarchical data, they serve different purposes. A Tree Grid is ideal for recursive datasets where each level shares the same structure, such as categories or org charts. In contrast, a Hierarchical Grid is better suited for relational data with distinct entities at each level, like customer → order → line item. Understanding when to use each approach helps prevent costly refactoring and ensures a more intuitive user experience as your application grows.
AI-Assisted React Data Grid Development: MCP Server + Copilot Skills is about making AI-generated React code more trustworthy for real UI work.
Ignite UI CLI 15.0 turns every new scaffold into an AI-ready workspace — shipping a built-in MCP server, generate-from-image design skills, and pre-wired agent configuration for Angular, React, and Web Components.
From Grid PDF Export, allowing you to export data from IgrGrid, IgrTreeGrid, IgrHierarchicalGrid, and IgrPivotGrid to new Intl-based rendering pipeline and more. Here are the latest updates in your toolbox.
Grid performance isn’t just about speed here. It's about consistency under heavy data load. When a grid freezes during data operations, it feels slow and unreliable. In real-time decision-making workflows, that unreliability becomes a liability.
From AI Coding Skills, covering component selection, framework integration, theming, and bundle optimization to improved Grid scroll performance, and more.
This release advances the library's dev-agentic strategy with three consolidated AI Copilot Skills shipped directly in the repository. But this is not all. Read more here.
A Deterministic Design Token Architecture for AI-Generated Applications. Built for Model Context Protocol (MCP) Agent Workflows