HOW TO: Build AI Agent in C# using Grok-3 and Semantic Kernel! FREE CODE SAMPLES

https://StartupHakk.com/?v=iKj1f4e7sIM

FREE CODE SAMPLES:
https://github.com/slthomason/Startup...

Ever wished you could build your own ChatGPT-style app with real-time streaming responses without fighting with complex APIs for weeks?
I've just pushed a free code sample to GitHub that lets you create a multi-model chat app using Microsoft's Semantic Kernel and X.AI's Grok model in under 30 minutes.
After decades of building enterprise software, I know that connecting AI models to applications is where most developers get stuck.
Today I'm walking you through exactly how to build your own streaming chat interface that responds in real-time as thoughts are generated - just like the premium AI services, but with your own customizations.
Microsoft's Semantic Kernel is a game-changer for .NET developers looking to integrate AI into their applications.
It abstracts away all the complexity of working with different AI services and lets you swap models without rewriting your entire codebase.
The framework handles everything from context management to prompt engineering while giving you complete control when needed.
I've seen too many developers spend weeks wrestling with raw API calls when they could have built the same solution in hours using Semantic Kernel.
What I love most is how it manages chat history and context for you - something that usually takes hundreds of lines of custom code.
This approach gives you enterprise-grade AI capabilities without requiring a PhD in machine learning.
X.AI's Grok model offers impressive capabilities while being less crowded than OpenAI's services during peak times.
The console application I've built shows you exactly how to connect to Grok through a clean service interface that could easily be swapped for other providers.
By implementing the IChatCompletionService interface, we've created a pluggable architecture that future-proofs your application against API changes.
Grok's streaming capabilities provide that instant feedback users expect from modern AI interfaces without the complexity typically involved.
The entire integration takes just one service class that's under 100 lines of code.
I've structured the code to make it dead simple to swap in different models like Claude, GPT-4, or any new model that comes along in the future.

#coding #codingbootcamp #softwaredeveloper #CodeYourFuture
00:00 Introduction
01:32 Why Semantic Kernel Matters
03:40 Real-time Streaming Magic
04:54 Getting Up and Running Fast
06:10 Extending Beyond the Console
08:32 Taking It to Production
09:54 Outro