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As AI moves from pilot projects into production, developers must grapple with fairness, transparency, privacy and accountability. This article provides a practical and strategic guide for building ethical AI systems with .NET, covering data collection, model training, deployment and monitoring,… more ›
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As 2025 ends, AI has permeated every layer of software development—from ubiquitous coding assistants to multi‑agent orchestration—while .NET matured its AI story with unified abstractions and agent frameworks. This review covers key milestones and previews 2026 highlights: fine‑tuned small language… more ›
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As AI transforms development, Visual Studio 2026 emerges as an AI‑first IDE. This visionary piece explores how multi‑agent orchestration, AI-native debugging, predictive architecture, enterprise governance, project memory, NPUs and hybrid execution will redefine .NET workflows. Learn why an IDE that… more ›
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As AI systems evolve, .NET developers stand on the brink of a new paradigm — one where intelligent agents replace traditional services. This article explores how hosted services, Semantic Kernel orchestration, and cognitive loops will redefine software architecture, enabling autonomous… more ›
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Discover why AI middleware will transform .NET by 2026. This visionary essay explores the API explosion driven by agentic AI, Microsoft’s unified AI abstractions, Semantic Kernel orchestration, vector search integration, multi‑agent systems, governance and cost optimization. Prepare your team for… more ›
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The above article was a forward-looking exploration of how .NET development is transforming with the rise of AI agents, blending personal insights with Microsoft’s latest AI tooling.* more ›
