This is my 2nd newsletter on AI and .NET topics 🚀 focussing on AI use cases, software architecture, and production-grade patterns.
If you’re working hands-on with .NET, AI, or relevant enterprise architectures, feel free to connect 👋, follow 🔔, or jump into the discussion.
• Core AI foundations for .NET: Recent .NET Foundation guidance on the Microsoft.Extensions.AI libraries underscores a deliberate push toward stable, composable abstractions for generative AI integration. Interfaces such as IChatClient and IEmbeddingGenerator codify how chat, embeddings, and even experimental image generation integrate with DI, telemetry, and middleware patterns.
🔗 https://learn.microsoft.com/en-us/dotnet/ai/microsoft-extensions-ai
• Microsoft Agent Framework still in preview: The Microsoft Agent Framework (open source, .NET support) is gaining traction as the unified SDK for building and orchestrating agent workflows, merging prior efforts like Semantic Kernel and AutoGen into a cohesive model. It introduces multi‑agent orchestration and stateful workflows directly into the .NET ecosystem, but it’s still in preview state.
🔗 https://github.com/microsoft/agent-framework
• Architectural implications of agent workflows: Community explorations into using the Agent Framework with local runtimes (e.g. Ollama) demonstrate that while the core orchestration model is powerful, tool invocation and manual loop integration remain necessary in advanced use cases. This highlights that although agent abstractions simplify patterns conceptually, practitioners must still engineer explicit control around tool execution, error handling, and context propagation to maintain reliability.
🔗 https://dev.to/thangchung/microsoft-agent-framework-with-ollama-netc-21co