In this article, dotnet features Shaltiel Shmidman, a Deep Learning Developer at DICTA, on his journey building a performant, real-time AI chat app using C#, ASP.NET Core, and SignalR during the T3 Chat Cloneathon. The discussion spotlights technical challenges and solutions like safe streaming, automatic reconnections, and seamless synchronization across browser tabs, demonstrating the power and simplicity of Microsoft technologies for AI-driven applications.

Summary

Shaltiel Shmidman, Deep Learning Developer at DICTA, shares his hands-on experience developing a robust, real-time AI chat application during the T3 Chat Cloneathon. Leveraging C#, ASP.NET Core, and SignalR, Shmidman and the team focused on key technical aspects required for a high-quality AI chat experience.

Key Highlights

  • Safe Streaming: The application utilizes SignalR to enable safe, efficient streaming of chat messages, ensuring that users consistently receive AI responses in real time.
  • Automatic Connection Resumption: If a user refreshes their browser, the application can resume the connection automatically, preventing chat interruptions and maintaining user engagement.
  • Browser Tab Synchronization: The system synchronizes chat state seamlessly across multiple browser tabs, providing a unified chat experience for users accessing the app from different windows.

Technologies Used

  • C#: As the primary language for backend logic and integration.
  • ASP.NET Core: Forms the foundation for building scalable and high-performance web APIs.
  • SignalR: Facilitates real-time, persistent connections for chat functionality.

Conclusion

The article demonstrates how Microsoft’s C# and ASP.NET Core frameworks, enhanced by SignalR, offer a straight path to building complex, real-time, AI-powered web applications. Readers are encouraged to explore community links and resources for further learning.