Category: Artificial Intelligence (AI) in Development
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A practical, real-world guide to modernising VB.NET systems into modern .NET architectures using AI-assisted development. Learn how to reduce risk, improve understanding, and evolve legacy systems with confidence. more ›
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Visual Studio 2026 is changing profiling in a big way. With the Copilot Profiler Agent, .NET developers can analyse CPU usage, memory allocations, and runtime bottlenecks using a far more… more ›
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Visual Studio 2026 makes debugging smarter and faster. AI‑powered exception analysis surfaces root causes and proposed fixes via Copilot, while inline variable values and timeline profiling provide deeper context. Multi‑agent… more ›
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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… 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… 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… 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… more ›
