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Why I Started AInDotNet — And How the McKinsey 2025 AI Report Highlights the Exact Problems I Set Out to Solve

Disclaimer: This article contains independent analysis and commentary on the publicly available 2025 McKinsey AI Report. McKinsey & Company does not endorse, sponsor, or have any affiliation with AInDotNet or the viewpoints expressed here. Introduction When McKinsey released its 2025 AI report, I read it with a mix of déjà vu and quiet confirmation. Not […]

The AI-Enabled .NET Enterprise Blueprint

A practical architecture for building intelligent, future-ready enterprise applications The rise of AI isn’t just changing how developers write code — it’s redefining the very structure of enterprise software. As code becomes faster to generate, frameworks become interchangeable, and AI reasoning becomes part of daily operations, enterprises need a modern blueprint that blends: This is […]

How Many Professionals Actually Know How to Use LLMs? A Data-Driven Look at AI Adoption on LinkedIn

Artificial intelligence tools like ChatGPT, Claude, and Microsoft Copilot are everywhere—but how many professionals actually know how to use Large Language Models (LLMs) effectively to get work done, reduce workload, and improve results? While some voices online claim “LLMs are flawed” or “LLMs are good for nothing,” usage patterns tell a very different story. This […]

Functionality First, Optimize Second: A Pragmatic AI-Era Strategy for Modern .NET Development

For decades, developers were trained to obsess over optimization — crafting micro-efficient loops, shaving milliseconds from SQL queries, and squeezing every ounce of performance out of infrastructure. But in the AI-accelerated era of software development, that mindset can quietly sabotage enterprise progress. Today, the teams who win aren’t the ones who write the fastest code […]

AI in the Software Development Lifecycle: From Planning to Deployment, AI Accelerates Every Phase of Development

For decades, the software development lifecycle (SDLC) has been a slow, linear, and highly manual process. Requirements take weeks to document. Developers spend months writing boilerplate code. Testers chase bugs across environments. DevOps teams stitch together pipelines and deployment scripts. But the rise of AI — Copilot, ChatGPT, Azure AI, ML.NET, and automated DevOps systems […]

Designing AI-Ready Architectures in the .NET Ecosystem

Architect once — plug in AI anywhere. The Next Evolution of .NET Architecture Modern .NET development isn’t just about scalability, reliability, and clean layering anymore — it’s about preparing for intelligence.AI is no longer a separate system that you bolt on later. It’s becoming a native layer of capability that needs to live comfortably inside […]

AInDotNet Media Kit – Keith Baldwin

AInDotNet Media Kit – Keith Baldwin About Keith Baldwin Keith Baldwin is the author of the AI Simplified series and AI Conversations Made Simple.He’s a Microsoft-certified .NET developer and AI systems architect who helps professionals understand and apply AI using Microsoft technologies — including Azure AI, Semantic Kernel, ML.NET, and Power Platform. Through his platform, […]

Weekly AI News Roundup – Trends & Insights for 11/9/2025

Automating repetitive knowledge work with AI This week’s updates explore automating repetitive knowledge work with AI from several perspectives. We start with the primary analysis: Automating Repetitive Knowledge Work with AI. For a broader overview of this topic, see our in‑depth resource: Intelligent Document Processing & AI-Powered RPA. Misaligned KPIs in AI projects This week’s updates explore misaligned KPIs in […]

When the AI Hype Meets Economic Reality: Why Now Is the Time to Get Your AI Ducks in a Row

The Economic Mirage Is Fading For the past few years, the U.S. economy has felt strangely resistant to gravity.Analysts expected a recession in 2022, then 2023, then 2024. Yet markets kept climbing, unemployment stayed low, and optimism somehow survived. But in late 2025, the cracks are finally showing.Layoffs are rising. Oracle’s debt has been downgraded. […]

Automating the Boilerplate: Let AI Handle the Boring Stuff

Stop hand-coding controllers and unit tests — AI can handle that. The Rise of AI-Powered Productivity In traditional development, much of a developer’s time is spent doing one thing: writing boilerplate code.Controller scaffolds, DTOs, repository patterns, unit test shells, logging wrappers — they’re all necessary, but not exactly innovative. Today, with tools like GitHub Copilot […]