ASP.NET Team Blog

We continue to extend the capabilities of the DevExpress Blazor AI Chat component and publish GitHub examples designed to address real-world usage scenarios. This post highlights two new examples: a multi-model chat with persistent conversation history...

As announced earlier, DevExpress Blazor deprecated support for Bootstrap v4 in v25.1. With v26.1, we're completing this transition by entirely removing Bootstrap v4 support....

Thank you for choosing DevExpress and for your on-going support. We value your business. As you will see below, we expect to continue extending the capabilities of individual components — but we also want to invest in larger initiatives that span multiple release cycles. ...

Modern AI-powered applications increasingly implement automated functions through specialized AI agents. The statistics show impressive growth: in 2025, 85% of organizations have integrated AI agents into at least one workflow . Users now expect conversational...

Modern AI-powered applications often execute tools automatically in response to user queries. While this automation embraces the potential of LLMs and improves user experiences, it can introduce security risks when sensitive operations are invoked without...

This post outlines key features/enhancements planned for our next major update (v25.2)...

In this post, I’ll show you how to build a multi-LLM (Large Language Model) chat application that uses DevExpress Blazor AI Chat and ComboBox components....

In this post, I will summarize some of the features/capabilities available in our early access (EAP) build...

Modern AI-powered applications require seamless interaction with external systems or internal app components. Many AI service providers now support function calling (also known as tool calling), which allows AI models to trigger functions at runtime....

In this post, I will detail how you can integrate our Blazor DxAIChat component in your project and provide Copilot-like AI assistants to your end-users. First, a quick word about this implementation...by incorporating the DevExpress AI-powered Chat component...