Ant Design X Blazor official website is officially launched: opening a new era of .NET full-stack AI development

Written by
Jasper Cole
Updated on:June-18th-2025
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Ant Design X Blazor official website is online, leading the new era of .NET full-stack AI development!

Core content:
1. Combining AI interaction genes with full-stack development capabilities to provide end-to-end AI interaction solutions
2. The official website provides a full range of resources, from document examples to multi-scenario solutions
3. Commercial support and open source ecology help .NET developers efficiently build professional AI interfaces

Yang Fangxian
Founder of 53A/Most Valuable Expert of Tencent Cloud (TVP)

 

Today, with the deep integration of artificial intelligence and enterprise-level applications, developers are increasingly in need of efficiently building professional AI interactive interfaces. Today, the official website of Ant Design x Blazor (https://x.antblazor.com/)  is officially launched, marking a new stage in the development of AI applications based on the .NET ecosystem. As a UI component library designed specifically for AI scenarios, Ant Design x Blazor combines the design essence of Ant Design with the full-stack development capabilities of Blazor to provide developers with an "out-of-the-box" end-to-end AI interaction solution.

1. Technical Gene: Deep Integration of AI Interaction and Full-Stack Development

Ant Design X Blazor inherits the AI ​​interaction gene of the Ant Design X series and is built based on  the RICH design paradigm (Role, Intention, Conversation, Hybrid UI), ensuring that the interaction between users and AI not only meets enterprise-level product standards, but also can flexibly adapt to scenarios such as intelligent customer service and AI assistants. Its core components include:

  • •  Intelligent dialogue component : supports dialogue bubbles, thought chain debugging, shortcut commands and other functions, such as Bubble The component can realize immersive interactive effects such as loading waiting and typing animation.ThoughtChain Components can clearly demonstrate the model reasoning process.
  • •  Model integration capability : By quickly connecting to the OpenAI standard model through built-in tools, developers only need a small amount of code to call the capabilities of large models, significantly lowering the threshold for AI application development.
  • •  MarkdownX component : Breakthrough support for Markdown custom rendering Ant Design Blazor component, greatly improving the customization flexibility of complex interface output of large models.
For more component introductions, please refer to the previous article AntDesign X Blazor AI component library to help .NET full-stack AI application development

In terms of technical architecture, Ant Design X Blazor is completely developed based on the .NET ecosystem, supports two-way interaction between WebAssembly clients and SignalR servers, is compatible with multiple platforms such as Windows, Mac, and Linux, and can be seamlessly integrated into ASP.NET Core projects.

2. Official website highlights: a one-stop platform from documentation to actual combat

The newly launched official website provides developers with a full range of resources:

  1. 1.  Component documentation and examples : A complete component library covering everything from basic buttons to complex dialog flows, with each component equipped with code examples and interactive demos. Sender Real-time preview of the message sending box component, developers can quickly adjust the input box style, voice recognition and other functions.
  2. 2.  Multi-scenario solutions : Provide detailed architecture design guidelines and template codes for the three mainstream AI application forms: Web stand-alone (pure conversational interaction), Web assistant (combination of conversation and interface), and Web embedded (interface-dominated + AI-assisted).
  3. 3.  Commercial support : As the first commercial component library launched by the Ant Design Blazor team, it is currently open for subscription at a price lower than the stable version. Enterprises can obtain exclusive technical support and customization services through the official website.
  4. 4.  Open source ecosystem : Completely built based on AntDesign Blazor and .NET open source ecosystem.

3. Application Value: Reconstructing AI Application Development Efficiency

1. Lowering the technical threshold

  • •  Zero JS development : Developers can use C# and Razor to build AI interfaces throughout the process without switching language stacks, which significantly improves code readability and maintainability.
  • •  Low-code integration (not yet available) : Through built-in XAgent and XChat Service, only 10 lines of code are needed to complete model docking and dialogue data flow management, and the development efficiency is improved by more than 60% compared with traditional solutions.

2. Enhance user experience

  • •  Responsive design : All components automatically adapt to desktop, tablet, and mobile devices to ensure consistency of interaction across devices.
  • •  Multi-language support : built-in 12 language packs, with LocaleProvider Components can quickly realize internationalized AI applications.

3. Accelerate enterprise digital transformation

Ant Design X Blazor has proven its value in scenarios such as intelligent customer service, automated office, and data analysis. For example, a financial institution shortened the development cycle of the intelligent customer service system from 3 months to 2 weeks by integrating dialogue bubbles and thought chain components, while increasing the interaction conversion rate by 25%.

IV. Future Outlook: Opening up a new ecosystem for AI full-stack development

The launch of the Ant Design x Blazor official website is not only the release of a technical product, but also an important milestone in the extension of the .NET ecosystem into the AI ​​field. With the continuous iteration of the component library (such as the planned attachment upload component) and the deep integration with Azure AI services, it is expected to cover 80% of enterprise-level AI application scenarios by the end of 2025.