LEADERSHIP IN THE AI ERA
The playbook for leading engineers just changed. Most leaders haven't noticed yet.
When half your team’s output comes from working alongside models, the old metrics, rituals and hiring filters stop working. I write about what’s replacing them, from inside a team actually doing the work.
THE TEAM I LEAD
Shipping weekly
Production agents into a SaaS used by thousands.
Late 20s, early 30s
Native to AI tools. No nostalgia for the old ways.
Mostly Ukraine
Engineers building through wartime. Direct, technical, resilient.
A FEW THINGS I BELIEVE RIGHT NOW
01 Output per engineer is the wrong metric. Output per decision is closer.
02 The bar for seniors is going up. The bar for juniors is going up faster.
03 Taste is the new bottleneck. Hire for it.
04 Trust your team’s tools more than you trust your old instincts.
05 Culture eats AI policy. Decide what kind of team you want, then pick the tools.
SELECTED WRITING
Revamping Your Development Process: Elevating QA, UAT, and Production with Speed and Precision
In my experience working with or consulting engineering teams on supercharging their development, QA and release processes, I have seen that most...
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Read →Duties of a Software Architect – build for customer needs, not ours.
In my previous article (UNDERSTANDING THE ROLE OF A SOFTWARE ARCHITECT), I explained the role of a software architect as well how...
Read →Understanding the role of a Software Architect
According to Wikipedia the role of a Software Architect is defined as “Architects make high-level design choices based on their programming experience....
Read →Building an IT Strategy
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Read →5 Attributes of a Great Software Engineer
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Read →Leading an engineering team through the AI shift?
I sometimes speak at events and trade notes with other CTOs and engineering leaders going through the same thing.