Testing ASP.NET Core APIs with in-memory SQLite and JustMock enables validation of real-world scenarios like pagination, keys and rules without a real database.
Many of the popular developer tools and libraries now offer their own MCP (or Model Context Protocol) servers, AI agents or assistants or AI skills—but what’s the difference between these, and where do the fit into your AI workflow? Let’s break it down.
If you’re creating an AI-enabled backend, your users expect an interface that supports working with an AI tool. The Telerik UI for Blazor AIPrompt wraps that all up into a single component.
Balance is key to using AI for code generation and being able to review it. Explore real-world cases of open-source projects ballooning beyond scale and how the ecosystem responds.
Give users appropriate loading feedback for the AI process going on. Here are some patterns aligned to the wait time, with implementation ideas for Blazor.
The .NET MAUI Conversational UI (Chat) component allows integrating chat experiences into your mobile and desktop applications. Learn how to work with this chat component, use cases and how to integrate LLM models.
You can have both AI code generation and a solid component library at the foundation. Here are the top six reasons to use both in an integrated approach to code.