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Ignite UI for Blazor 26.1 brings the AI-assisted development toolchain to Blazor - four Agent Skills plus official CLI MCP support (documentation and API) for GitHub Copilot, Cursor, Claude Code, and JetBrains AI - and adds grid scroll-performance gains. It also ships three new components - the IgbChat preview, IgbSplitter, and IgbHighlight - plus a Dock Manager 2.1 update with two-way Layout binding and new pane and tab events. No breaking changes; supports .NET 8, .NET 9, and .NET 10.

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.

Your AI coding assistant seems to get smarter over weeks of use - but model weights never change during inference. The intelligence accumulates in the surrounding system: Agent Skills on disk, IDE semantic indexes, committed code patterns, and MCP configuration. Here is where that context physically lives, why it matters for first-user consistency, and a clean-room procedure to measure what the model alone produces.

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.

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.

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.

From AI Coding Skills, covering component selection, framework integration, theming, and bundle optimization to improved Grid scroll performance, and more.