Part 1 covered Parkinson’s Law: give the work more time and the work will take more time. The natural response is to tighten estimates and add a disciplined buffer. Douglas
Each examines one law: where it came from, why it persists, and what to do about it. Ask any program manager how long a project will take and you will
There is an unspoken rule in the modern enterprise: when the market moves, you move with it. Right now, that movement is an aggressive, uniform march toward AI-driven structural restructuring.
Engineering teams are making a massive miscalculation with AI. We treat it as a tool that magically delivers better work, faster. It doesn’t. AI does not give you speed. It
Fig.1 The Documentation Graveyard Every mid-senior developer has lived this story. You join a new team, crack open the API docs, and discover they describe an endpoint that was refactored
“A fool with a tool is still a fool.” — Grady Booch
This post investigates the existential macroeconomic divergence facing the multi-sided platform model in the era of Generative Artificial Intelligence (GenAI). Historically, platforms have acted as “efficiency engines,” reducing transaction costs
The Silent Saboteur: Why Your AI Transformation is Failing Under Transactional Leadership Your status reports are green. Your adoption metrics are climbing. And your transformation is quietly bleeding out because
There is a question every person in a position of power should be required to answer before they’re handed the keys: Can you tolerate being wrong in public? Not in
