
Building Software with AI Is Addictive. I Mean That Literally.
AI gave me back the part of the job I loved. It also removed the friction that forced me to stop.
27 posts on .NET, SQL, architecture, and the craft of building software. (page 2 of 2)

AI gave me back the part of the job I loved. It also removed the friction that forced me to stop.

Anthropic just shipped Programmatic Tool Calling, the feature that makes traditional tool calling look like dial-up. 37% fewer tokens. 13% higher accuracy. And a fundamentally different architecture.

Here's the thing nobody tells you when you start using AI coding agents: they trained on the internet. And most of the code on the internet is terrible. My job is to make sure it doesn't write like that for me.

78% of companies adopted AI. 80% saw no business impact. The generative AI paradox is real, and the Agile framework is the problem.

After more than 30 years of traditional software engineering, I went all in on agentic development. Not to dabble, but to build a complex new platform entirely from scratch this way. Here's what's real.

After years of chasing slow queries, most of the wins come down to a handful of indexing patterns. Here's the mental model I use every time.

Exceptions are the wrong tool for expected failures. The Result pattern makes error paths explicit, composable, and testable. Here's how I use it in C#.