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Thinking in .NET is a senior-level technical book focused on the mental models, architectural reasoning, and decision-making skills required to design and maintain long-lived .NET systems.Rather than teaching frameworks, APIs, or syntax, the book explores how experienced .NET engineers think about complexity, boundaries, performance, reliability, data, and change over time. It addresses why systems become fragile, why refactoring becomes risky, and why many well-intentioned architectures slowly degrade in production.Drawing on real-world experience, the book examines the .NET runtime, ASP.NET Core, data modeling, concurrency, observability, and system evolution from a high-level, practical perspective. Its goal is to help readers make better tradeoffs, reduce long-term risk, and design systems that remain understandable and adaptable long after their original roadmap.
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