How to keep AI in the workflow without losing the apprenticeship: three exercises that rebuild debugging, explanation, and critical thinking when polished output hides shallow understanding.
The communication habits that place disproportionate cognitive load on neurodivergent engineers, and a one-sprint audit with three specific rewrites you can deploy immediately.
Why people don't build connection to their work from what you say at all-hands, and how to translate what matters into something that sticks week to week.
The business fundamentals that help engineering leaders understand the financial and commercial forces that shape their work, and engage as partners rather than order-takers.
The specific leadership moves that work when you're managing a crisis with no prior relationships, no system context, and a hard deadline, and why crisis leadership requires a different playbook entirely.
The specific leadership moves that work when you're managing a crisis with no prior relationships, no system context, and a hard deadline, and why crisis leadership requires a different playbook entirely.
Five frameworks from a century of education research that map directly to eval design for AI agents, and why building the eval system before the product changes everything.
Visualization techniques (scatter plots, value stream maps, investment reports) that reveal where your team's work is actually getting stuck before you try to fix it.
Whether AI-generated code should be treated as disposable, what the shift to immutable infrastructure taught us, and how those lessons apply to the way teams write and maintain code today.