Infragistics Blog - #react

Ignite UI CLI 15 – MCP Server, ai-config & Blazor Scaffolding
Ignite UI CLI 15 (releases 15.0.0 through 15.5.0) turns the CLI into the setup layer of the Ignite UI AI-assisted development toolchain. Highlights: the Ignite UI CLI MCP server with documentation and API lookup for AI assistants across Angular, React, Web Components, and Blazor; the ai-config command for one-command Agent Skills and MCP configuration; Blazor project scaffolding via dotnet new igb-blazor; and modernized Angular templates on signals and Angular 22. CLI 15.0.0 removes the legacy igx-ts-legacy, ig-ts, and igr-es6 project types.

Free AI Model for Ignite UI Code: 32-Test Benchmark
A 32-test benchmark pitting a paid AI model (claude-sonnet-4-6) against a free one (big-pickle) on the same Ignite UI authentication build across Angular, Blazor, React, and Web Components. Both tied at 94% - the free model got there because Ignite UI MCP servers and Agent Skills supplied the exact component APIs and icon names it lacked. Web Components is the one case where the MCP server is required, not optional.

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.

What's New in Infragistics Ultimate 26.1
Infragistics Ultimate 26.1 ships a complete AI toolchain - Agent Skills, the Ignite UI CLI MCP server, and the Theming MCP server - across Angular, React, Web Components, and Blazor. The release also introduces Grid Lite, a free MIT-licensed open-source data grid, grid scroll performance gains of up to 150% FPS at 100k rows, PDF export for every grid family, a new Intl-based i18n engine, and new components including IgbQueryBuilder.

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.

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.

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.

Best React Data Grid for Large Datasets: Performance Guide
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.