Title
Ask what the work is for before you make AI do it faster.
Leadership
+3
Small questions, asked early, are the cheapest design review you will ever run.
System Design
+4
Build trust, remove friction, and solve real problems
Why local productivity doesn't guarantee company-wide results
Know when headcount adds capacity and when it adds complexity
Stay hands-on, reduce technical bottlenecks, and lead with better judgment
Human judgment and accountability still matter
For engineering leaders: name the one problem that matters, choose how you will tackle it, and say no to the work that does not serve it.
How to hand off real engineering work, hear bad news early and let your engineers own the how
Productivity
How engineering leaders can make room for loss, learning and judgment
Tech leaders default to adding tools, meetings, OKRs, and AI. Better systems often start with removal.
The strongest teams spread expertise instead of concentrating it
The future belongs to workers who can use the machines
AI
+1
Responsibility often arrives before recognition
The path upward requires expertise, judgment, and execution
AI could make some engineering shortcuts easier to fix tomorrow than they are today
Why the best engineering teams measure impact, not activity
Listen first, build relationships, then lead with confidence
Less prioritizing. More progress.
The counterintuitive strategy that helps you learn what “good” looks like before you commit
The leadership discipline behind lasting reliability
Why the best leaders listen before they persuade
How Smart Work Creates Bigger Results
The new competitive advantage comes from judgment, clarity, and intelligent collaboration
Your Team Isn’t Slow — Your System Is Broken
