Infragistics Blog

The latest release of Ultimate UI for WPF delivers a focused set of charting enhancements that give you more control over how your data looks, how it’s labeled, and how users can interact with it. From expanded marker styling options to a powerful new series type and an early preview of user-driven annotations, this update is about putting more […]

LLMs generate component library code that compiles, runs, and is wrong - and the compiler never catches it. In 7 paired benchmarks across Ignite UI for Blazor and Angular, MCP servers and Agent Skills raised component compliance from 0/5 to 5/5 where the untooled model ignored the library, lifted single-prompt feature completion from 71% to 100%, and lowered true session cost once correction turns were counted. Includes full methodology, raw data, and the public benchmark repos.

This release advances the library's AI toolchain with updated Agent Skills shipped directly in the npm package and CLI MCP server support for Web Components documentation and scaffolding. But this is not all. Read more here.

TL;DR If you’ve built an admin CRUD app before, you know the routine: a grid that’s almost right, a half-finished modal form, a “we’ll do row editing later” sticky note, and three weeks of “filter doesn’t work on date columns” tickets. I rebuilt the classic Northwind admin console in less than 30 minutes — full CRUD across […]

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.

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.