Executive Summary: This article argues that AI-assisted development has exposed a fundamental flaw in how software teams manage code review. As AI tools generate code at volumes human reviewers cannot meaningfully process, the solution is to move review upstream, from code to intent. Ayman Shoukry proposes a two-tier model: human review of requirements and specificatio...

This article outlines a CTO’s framework for when multi-cloud earns its complexity. It covers where to preserve portability, where to accept strategic lock-in, and why cloud-sovereign architecture is replacing cloud-agnostic as AI workloads and agentic systems reshape infrastructure demands. It draws on a transition that cut infrastructur...

When someone says “AI use cases,” they might mean three very different things, and the architecture, risk profile, and operating cost for each look nothing alike. If you’re allocating engineering capacity and budget against artificial intelligence initiatives, that distinction matters more than any vendor pitch deck will tell you.

Predictive machine learning models hav...

If you spend any time in engineering leadership meetings right now, you have probably heard the same conversation repeat itself in slightly different forms.

Someone mentions AI, someone else asks whether this is machine learning, generative AI, or something else entirely. A third person worries about risk, cost or governance. By the end of the meeting, everyone agrees ...