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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. From Problems to Patterns: Generative AI in .Net (C#)

    A new book titled "From Problems to Patterns: Generative AI in .Net (C#)" aims to equip .NET developers with the skills to build and deploy production-ready AI solutions. It focuses on the Microsoft AI stack, including Microsoft.Extensions.AI, Microsoft.Agents.AI, and Model Context Protocol, offering practical guidance and 37 runnable code examples. The book covers essential topics like multi-provider routing, robust RAG pipelines, maintainable autonomous agents, and secure deployment of AI tools. AI

    From Problems to Patterns: Generative AI in .Net (C#)

    IMPACT Empowers .NET developers to build and deploy production-grade AI applications, reducing reliance on Python-centric tools.

  2. Things I Think I Think... Data Privacy: Mulling out loud why I think data privacy is about to explode in importance | by Ted Neward https:// blogs.newardassocia

    Microsoft has introduced a new composable AI stack for .NET developers, aiming to simplify the integration of AI features into applications. This stack includes modular components like Microsoft.Extensions.AI, DataIngestion, and VectorData, which provide stable abstractions over AI models, data pipelines, and vector stores. The new framework is demonstrated through ConferencePulse, an AI-powered conference app that leverages these components for features like live polling, intelligent Q&A, and data summarization. AI

    Things I Think I Think... Data Privacy: Mulling out loud why I think data privacy is about to explode in importance | by Ted Neward https:// blogs.newardassocia

    IMPACT Simplifies AI integration for .NET developers, potentially accelerating adoption of AI features in enterprise applications.