.NET AI Engineering — No Python Required
Structured learning paths, end-to-end projects, and verified debugging fixes. Built by developers who ship AI-powered .NET to production.
75 production-verified guides · Written by a Senior .NET Engineer with 13+ years experience
Structured Learning Paths
Follow a guided path from beginner concepts to production-ready skills.
AI Foundations for .NET Developers
Core AI concepts, RAG, prompt engineering, and generative AI fundamentals for C# developers.
Start learning.NET AI with Semantic Kernel
Plugins, memory, orchestration, and the full Semantic Kernel SDK from setup to production.
Start learningAI Agents in .NET
Agent architecture, Microsoft Agent Framework, multi-agent orchestration, and MCP integration.
Start learningProduction AI Engineering
Resilience, observability, cost optimization, and deployment patterns for AI-powered .NET apps.
Start learningMachine Learning with ML.NET
Predictive ML, ONNX models, and traditional machine learning pipelines in C# without Python.
Start learningExplore by format
Build projects, fix errors, or stay current — each pillar serves a specific developer need.
Hospital
Fix real errors fast. Verified debugging solutions sourced from GitHub Issues, StackOverflow, and production incidents.
Workshop
Build complete projects end-to-end. Step-by-step tutorials that ship real AI-powered .NET applications.
News
Stay current with .NET + AI ecosystem releases, industry shifts, and what they mean for .NET developers.
Trending This Week
Hot topics across the .NET + AI ecosystem
Latest Releases
Stay current with the .NET + AI tooling ecosystem
MCP C# SDK v1.0 Released: Authorization + Tool Sampling for .NET
ModelContextProtocol v1.0 for .NET: authorization server discovery, tool sampling, and long-running async requests. Works with Semantic Kernel 1.x.
Microsoft Agent Framework RC for .NET: Frozen APIs + MCP Support
Microsoft.Agents.Core RC: frozen APIs, MCP tool integration, and multi-agent orchestration. AutoGen successor — migration checklist from Semantic Kernel Agents.
GPT-5 and o-Series Models: What Changes for .NET AI Apps
GPT-5, o1, o3, o4-mini: improved tool calling, structured output, and 1M+ context windows. What .NET developers need to update in Azure OpenAI + Semantic Kernel.
Open-Source LLMs in .NET: Run Llama 3, DeepSeek & Qwen Locally in C#
Run Llama 3, DeepSeek, and Qwen locally in C# via Ollama and ONNX Runtime. No cloud APIs, no inference costs — full offline AI in .NET.
Recently Fixed Errors
Verified debugging solutions for real-world production issues
Fix Azure OpenAI 400 Content Filter Error in C# (Including Streaming)
Source: From GitHub IssueFix 'context_length_exceeded' in Azure OpenAI C# — Token Counting + Sliding Window
Source: From StackOverflowFix Azure OpenAI Structured Output 400 Errors in C# (Schema + API Version)
Source: From StackOverflowFix Vector Dimension Mismatch in Azure AI Search + C# (ada-002 vs text-embedding-3)
Source: From GitHub IssueShip smarter .NET + AI code every week
SDK release summaries, architecture patterns, verified error fixes, and curated learning resources. Read by .NET developers building AI in production. No spam. Unsubscribe anytime.