Presented by dotnet and featuring Shaltiel Shmidman, this session explores the development of high-performance, real-time AI chat applications using C#, ASP.NET Core, and SignalR, with demonstrations and expert guidance.

Blazing-fast AI Chat Apps with ASP.NET Core & SignalR: Insights from the T3 Chat Cloneathon

Presented by: dotnet (Daniel Roth, Jon Galloway, Luis Quintanilla, Mike Kistler) Guest: Shaltiel Shmidman, Deep Learning Developer at DICTA

Overview

Join the ASP.NET Community Standup as guest Shaltiel Shmidman shares his journey building a blazing-fast, real-time AI chat application from scratch. Leveraging C#, ASP.NET Core, and SignalR, Shaltiel participated in the T3 Chat Cloneathon, focusing on creating robust, scalable chat systems with advanced AI features.

Key Highlights

  • Safe Streaming:
    • Implementation details for streaming AI-generated messages safely and efficiently to clients in real time.
  • Automatic Connection Resumption:
    • How the application automatically restores user connections after a browser refresh or network interruption.
  • Synchronization Across Browser Tabs:
    • Techniques for ensuring a seamless experience when users open multiple chat sessions across different tabs or devices.
  • .NET for Real-Time AI:
    • Insights on why C# and ASP.NET Core, together with SignalR, are well-suited for creating performant, maintainable real-time AI chat apps.

Chapters

  • 00:00 Countdown
  • 02:30 Welcome
  • 04:42 Introduction with Shaltiel Shmidman
  • 08:27 T3 Chat Cloneathon overview
  • 12:28 Live Demo: NotT3Chat – AI chat application walkthrough
  • 42:48 Demo: Step-by-step guide to creating a .NET AI app
  • 56:36 How to get started with .NET and AI
  • 57:07 Audience Q&A
  • 01:03:52 Wrap-up

Featured Technologies & Techniques

  • C# as the primary development language
  • ASP.NET Core for robust web API and server infrastructure
  • SignalR for real-time, bidirectional communication between clients and server
  • Deep Learning integration for AI-powered chat capabilities
  • Synchronization mechanisms for multi-tab/browser consistency
  • Fault Tolerance methods for automatic reconnection

Practical Insights & Takeaways

  • Building a highly-performant AI chat solution in .NET is accessible using standard frameworks and libraries.
  • SignalR handles real-time communication and connection management, drastically simplifying the development process.
  • Ensuring safe streaming and synchronization requires thoughtful architecture but is achievable with built-in .NET features.
  • Community events like the T3 Chat Cloneathon foster rapid prototyping and learning for developers interested in AI and real-time systems.

Community & Resources

How to Get Started

  • Explore .NET documentation for real-time capabilities with SignalR
  • Review sample projects from the T3 Chat Cloneathon for practical implementation ideas
  • Engage with the developer community for support and collaboration

About the Presenter

Shaltiel Shmidman serves as a Deep Learning Developer at DICTA, contributing expertise in machine learning, AI integration, and scalable application design.

Panel

  • Daniel Roth
  • Jon Galloway
  • Luis Quintanilla
  • Mike Kistler
  • Shaltiel Shmidman

Stay tuned for future ASP.NET Community Standups for more insights into cutting-edge .NET technologies and application development best practices.