The Lever Most CTOs Reach for First Isn't the One Attached to Delivery
You tightened AI adoption. Delivery didn’t move. Maybe the lever you pulled was never connected to your organisation’s real constraint.
The Missing 'So That': A Case Study in Distance
AI can write a user story. It can’t have the conversation that makes it mean something. A case study in distance.
Faster Delivery Doesn't Fix an Unclear Backlog
AI makes your team faster. It won’t tell you what’s worth building. Here’s why the backlog question still comes first
Two conversations, one question: what matters more than speed
Two client conversations, one lesson: no AI model or management conviction replaces listening before deciding how fast to move.
The Bottleneck Was Never in the Coding
AI coding assistants promise faster delivery. But what if coding was never the bottleneck? A queueing theory perspective.
The Variation You Know vs. The Variation You Don't
Are AI coding assistants reducing variation in your team — or just making it invisible? The evidence cycle is younger than you think.
Momentum Lag: When "We're Doing Scrum" Becomes the Ceiling
Momentum Lag occurs when framework adoption is treated as destination rather than foundation, causing productivity gains to erode without continued systematic improvement.
The AI Velocity Trap: When 'Shipping Faster' Actually Means Delivering Less Value
How AI coding assistants create false productivity gains while teams unknowingly sacrifice code quality and business value.
Why Perception of Productivity Matters as Much as Actual Productivity
Technical improvements fail when teams don’t perceive productivity gains. Great teams align actual productivity with perception of productivity through disciplined practices.
What 160 Minutes of AI Debugging Taught Me About AI-Coding tools
Este articlulo es una mirada al aprendizaje de trabajar un mes codificando con AI.