Learn how to integrate ML.NET into a Blazor Server app to build a sentiment analysis tool using binary classification.
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dotnet watch: you use it for hot reload. You should do more with it.
Every time I changed code, I’d Alt-Tab to the terminal, arrow up, Enter. dotnet test. Wait. Check. Back to the editor. Repeat.
It’s not the end of the world. But over a full day, it adds up, mostly in lost focus. The annoying part is that I already had dotnet watch in my workflow for hot-reloading a web app. I just never thought to ask what else it could do.
Microsoft Agent Framework: First Agent, MCP, and Multi-Agent Workflows
Microsoft Agent Framework replaces Semantic Kernel and AutoGen. Here’s how to create a local agent with Ollama, connect an MCP server, and orchestrate two agents in sequence.
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MCP in C#: Exposing Your Own Tools to Any AI Client
MCP standardises how AI clients call external tools. Here’s how to build a working MCP server in C#: with a complete weather example, ready to connect to Claude Desktop or VS Code Copilot.
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Building AI Agents with Ollama and .NET
Learn how to create AI agents that think, plan, and act autonomously using Ollama and .NET. Explore the ReAct pattern, tool calling, and practical agent architectures.
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Local RAG with Ollama, LiteLLM, and Qdrant
Wire up Ollama to LiteLLM and Qdrant for local RAG: ingestion, chunking, embeddings, retrieval, and basic evaluation.
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Local AI Development with Ollama and .NET
Learn how to run large language models locally using Ollama and integrate them into your .NET applications for enhanced privacy, reduced costs, and offline AI capabilities.
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Quality & Delivery: Testing, Security, Performance, and CI in Mes Recettes
Testing status, security roadmap, performance strategy, and CI/CD blueprint.
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Inside the Architecture: Patterns, Data Modeling, and Extensibility in Mes Recettes
Clean layering, model mapping, deferred abstractions, and growth paths.
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Mes Recettes: Building a Modern Recipe Index with Blazor WebAssembly & Supabase
Why Blazor + Supabase, architecture highlights, what’s built vs planned, and early lessons.
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