Blog

Facing an existential crisis, Stack Overflow has had to pivot quickly. I synced with a director to discover what team strategies are helping them adapt.

System Initiative aims to replace the toil of maintaining config files with a data-based digital twin and visual modeling engine. An engine for DevOps, if you will.

My latest feature on CIO.com explores why CIOs view APIs as a critical linchpin to realize success with agentic AI. Learn what it'll all take.

A year into the DirectorPlus newsletter, I check back in with past guests on how their organizations are approaching AI tooling strategies.

How do you make an API ready for AI agents to use? I posed this question to a handful of API experts and put together a comprehensive guide for The New Stack — published today.

86% of developers are embarrassed by their tech stack. And, it's causing them to quit. I look at the implications of a report from Storyblok.

The majority of enterprises are now multicloud. I compared six of the leading multicloud management solutions for InfoWorld.

AI researchers are calling the next class of models large action models (LAMs). For The New Stack, I explored what LAMs are, what examples are emerging in the market, and what experts think.

My article for LeadDev explores specific prompting techniques proven to sharpen your AI-assisted software development.

Nordic APIs, the API-specific blog I edit, was recently ranked the top API blog online by FeedSpot. After ten years managing this presence, I reflect a bit on the journey thus far.

Developers are realizing that being productive with AI coding assistants takes a lot more than just asking nicely. There's real craft to it.

AI coding is the easy part. Now it's time to focus on DevOps to get it into production. In a recent interview for LeadDev's DirectorPlus, Honeycomb's CTO, Charity Majors, shares expert tips on how to accomplish this.

My latest for The New Stack explores new research from Ai2, DataDecide, which helps LLM developers make better decisions around training data.

My APISEC|CON talk covers the hype around agentic AI and MCP, and delves into inherent flaws in MCP architectures and suggests mitigations.

AI coding assistants are a productivity dream in some cases — and a debugging nightmare in others. So, where’s the line?

Semantic caching is like typical caching, but for AI. It could eliminate a lot of redundant API calls to LLMs, reducing costs and improving performance.

For CIO.com, leading executives shared with me how they're actively utilizing agentic AI to enhance core business workflows.

Developer productivity metrics are useless if they're just sitting in dashboards. So, how can we use them to direct positive, real-world action?

What leads to a higher revenue per engineer? New benchmarking from DX reveals how areas like R&D spend, org size, and growth rate move the needle.