AI Is a Multiplier
Why enterprise AI adoption depends on literacy, strong DevOps, guardrails, and a full value stream mindset 7 min read My…
Read moreI began writing consistently in December 2021, writing about leadership, technology, and the organizational systems behind performance and change. What started as reflections on team dynamics and operational metrics has grown into a broader examination of how thoughtful leadership drives meaningful outcomes in software engineering and beyond.
Today, these posts cover everything from AI-driven transformation and engineering culture to the human side of building great teams, always grounded in real experience and a commitment to rethinking conventional wisdom.
Showing 1–11 of 11 posts
Why enterprise AI adoption depends on literacy, strong DevOps, guardrails, and a full value stream mindset 7 min read My…
Read moreWhy the next AI shift may require deeper system changes than most SaaS companies expect 7 min read A Familiar…
Read moreAI Is Rebundling Roles, Shrinking Some Teams, and Raising the Bar for Responsible Delivery 9 min read My first article…
Read moreThe Dual Bar for Hiring in 2026 4 min read Last week, Gene Kim and Steve Yegge published a piece…
Read moreWhy Fundamentals Still Matter in an AI-Shaped Engineering World 6 min read In the past year, I’ve noticed a shift…
Read moreA follow up article and reflection on how AI amplifies the systems it enters, and why clarity in measurement and…
Read moreExploring how AI could reshape software teams, smaller pods, stronger guardrails, and the balance between autonomy and oversight. 7 min…
Read moreMoving beyond AI-assisted delivery to achieve measurable, system-wide impact through value stream visibility and flow metrics. 10 min read At…
Read more7 min read This article is a follow-up to my earlier post, AI Is Improving Software Engineering. But It’s Only…
Read more5 min read A follow-up to my last post Leading Through the AI Hype in R&D, this piece explores how…
Read more7 min read Note: AI is evolving rapidly, transforming workflows faster than expected. Most of us can’t predict how quickly…
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