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  • From MVC to AI: How Controller...

From MVC to AI: How Controllers Evolve in the Age of AI Orchestrators

The Future of .NET with AI APIs — Are We Still Writing Controllers?

Look guys… we’re entering a new era in the .NET world.
A phase where the Controllers we’ve memorized since the MVC days could become just a thin interface on top of a “smart brain” that writes queries and executes logic by itself 😅.


💡 How We Used to Work

  • Build a regular Web API:

    • Controller with actions like GetAll(), GetById(), Create()

    • Queries written in LINQ

    • All the logic manual, step by step

  • We had to write everything ourselves, from receiving the request to sending the response


🚀 Now, with AI APIs

With tools like:

  • Azure OpenAI Service

  • Semantic Kernel (from Microsoft itself)

  • .NET 9 AI SDK

We now have a completely new layer inside the backend called the AI Orchestrator.

🔍 What’s an AI Orchestrator?

Think of it as the brain that thinks for you:

  • Understands user intent

  • Decides which code or data to invoke

  • Converts natural language (English or Arabic) into an actual action in your code

Example:
Instead of the user sending:

 
GET /api/orders?status=shipped&date=2025-10-01

They can simply write:
"Show me all orders shipped in October"

The Controller now:

  • Receives the text

  • Sends it to Semantic Kernel

  • Kernel calls an Azure OpenAI model (GPT-4 or GPT-4o)

  • The model figures out the query and executes the method in your code:

 
var orders = await _orderRepo.GetShippedOrdersSince(new DateTime(2025,10,1));
  • The result goes back to the user like magic 🤯


🧠 How It Works Technically

  • Semantic Kernel has Plugins (or Skills)

    • These are methods in your code registered as Functions

    • When the model decides to call a function, it returns JSON like:

 
{ "function_call": { "name": "GetShippedOrdersSince", "arguments": { "date": "2025-10-01" } } }
  • The Kernel executes it directly in the code

  • You can add Memory so the Agent remembers context

  • You can also use a Vector Store like Azure AI Search for RAG (Retrieval-Augmented Generation)

    • Meaning it fetches data from docs or DB and adds it to the prompt before responding


⚙️ What’s the Controller Doing Now?

Still there, but its role has changed:

  • Handles Auth and Rate Limiting

  • Passes Context (user, session, language)

  • Routes the request to the Kernel instead of executing the logic itself

Example:
Instead of:

 
return _orderService.GetOrders();

It now does:

 
return await _semanticKernel.RunAsync("Show me all shipped orders");

🔥 Bottom Line

  • We’ve entered a new stage: no more writing business logic line by line

  • Instead, we’re building a system that thinks and decides which code to run

  • .NET 9 will officially support AI SDK

  • Semantic Kernel supports OpenAI, Azure OpenAI, HuggingFace, Ollama

  • Function Calling and RAG pipelines are now trivial to implement

💬 In the end:

  • Controllers won’t die… but they’ll stop “thinking”

  • They become just a bridge between the user and the smart brain inside your backend

👨‍💻 So the question is:
Are you ready to enter this phase? Or are you still writing Controllers with GetAll and GetById? 😄

Article Info

From MVC to AI: How Controllers Evolve in the Age of AI Orchestrators
  • Category: Computer Science
  • Published: Jan 25, 2026
  • Reading Time: 3 minutes
  • Author: Abd El-aziz

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