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Infragistics Blog

Angular

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.


· 5min
WinForms

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.


· 5min
WPF

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.


· 5min
AI Engineering

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.


· 15min
AI Engineering

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.


· 15min
React

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.


· 7min
Web Components

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.


· 7min
React

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.


· 8min
React

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.


· 11min