Skip to content

Infragistics Blog - #blazor

Ignite UI for Blazor Lite 0.1.0: New Components and Project & Item Templates

Chat, Splitter, Highlight and Theme Provider join the free Ignite UI for Blazor library — along with new dotnet new project and item templates to help you (and your friendly AI agent) hit the ground running.


· 6min

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.


· 7min

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.


· 19min

Ignite UI for Blazor 26.1 - Agent Skills, MCP, Grids & New Components

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.


· 5min

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

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.


· 12min

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

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

Building Dashboards with Ease Using the Dashboard Tile

We are extremely excited to introduce a brand-new charting functionality – Dashboard Tile. Learn how to use this charting feature to build interactive Dashboards with almost no hand-coding at all.


· 5min