Infragistics Blog

AI Tooling in Framework-Specific Development: An Empirical Study of MCP and Agent Skills Benefits
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.

Infragistics Ultimate 26.1 — What's New in Ultimate UI for Windows Forms
The latest Ultimate UI for Windows Forms release 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, an early preview of user-driven annotations, and a modern serialization upgrade, this update puts more meaningful design and visualization decisions directly in your hands.

Infragistics Ultimate 26.1 — What's New in Ultimate UI for WPF
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 meaningful design and visualization decisions directly in your hands.

Why AI Results Improve Over Time, Not Model Learning
AI results improve over time even when the model never changes - context accumulation across your dev stack. Run a clean-room test to measure your true baseline.

Why Ignite UI AI Tooling Produces Better Results: MCP vs. No-MCP Benchmarks
Seven paired benchmarks against Ignite UI for Blazor and Angular show what MCP servers and Agent Skills change in AI-assisted development: component compliance rises from 0/5 to 5/5 in every scenario where the untooled model ignored the library, single-prompt feature completion rises from 71% to 100%, and total session cost including corrections is equal or lower.

Ignite UI React 19.7 - AI Skills, MCP & More
Ignite UI React 19.7 ships updated LLM Agent Skills, a CLI MCP server for React documentation, an Invoker Commands API, and Popover platform upgrades across Nav Drawer, Snackbar, and Toast.

Ignite UI for Web Components 7.2 - AI Skills, MCP & More
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.

Building a React Data Grid CRUD Admin App 30 Minutes
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.

Build a React Data Grid with Claude Code, Ignite UI CLI, and MCP Servers
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.