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

• Links to ASP.NET and related 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.