Eight Widgets Instead of Five. Did We Actually Get Better?
From Flow to Realization – Part 1 of 3
Rethink Your Understanding
Phil Clark is a technology executive focused on transforming software delivery—from Agile and DevOps to Value Stream Management and AI adoption. This publication shares field lessons, case studies, and frameworks connecting engineering to business results
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Latest posts
AI Graph Engineering Looks Familiar for a Reason
This morning I came across two different discussions about “graph engineering,” a term that seems to have become the latest AI buzzword.
AI Is Changing Management, Not Reinventing It
Artificial intelligence is prompting a new wave of predictions about software organizations.
The Real Intellectual Property of Modern Software
A follow-up to “The AI Didn’t Sign Your IP Agreement”
Work Has to Move. It Also Has to Matter.
Questions Asked Since the Book Launch
The AI Didn’t Sign Your IP Agreement
For C-level leaders and boards pushing organizations toward an AI-first future, especially those exploring how far AI can replace or reduce human engineering capacity, speed cannot be the only measure of progress.
AI Token Spend Is Becoming Product Economics
The leadership question is shifting from who is using AI to ROI and whether AI is improving delivery, margins, and outcomes.
The Flat Org That Still Had Managers
What I learned separating people management from delivery accountability
AI Can Shrink Your Team. It Cannot Shrink the Work
The judgment load on your team did not go down. It just became harder to see.
More Code Is Not More Value: Why AI Is an Operating Model Test
What IBM’s CEO study, CircleCI’s delivery data, and DORA’s ROI model reveal about AI, flow, and measurable business value