The Bias Problem: Why We Can't Trust AI Productivity Claims
When observing AI productivity claims, we need to be able to judge the objectivity and skin in the game of our sources.
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When observing AI productivity claims, we need to be able to judge the objectivity and skin in the game of our sources.
AI code assistants promise revolutionary productivity gains, with some vendors claiming 50% or higher improvements in developer output.
In this post I do a simple sanity chack ROI to show that the numbers do not add up!
The Code generation tool market is projected to grow to $12 billion by the end of 2028.
But what is the real impact on productivity?
Integrating Shortest Processing Time, Priority Inheritance, and Unplanned Work Management creates systematic high-performance development teams that deliver predictably.
Unplanned work consumes 30-50% of development capacity. Separate capacity allocation and systematic management restore predictable sprint delivery.
Priority Inversion silently kills team productivity when low-priority tasks block high-value features. Priority Inheritance protocols restore systematic value delivery.
Manufacturing’s Shortest Processing Time strategy adapted for failing sprints: prioritise quick wins within your sprint’s qualitative goal framework.
When you measure the right things, you unlock incredible potential. Let me share some real numbers from companies I’ve coached, demonstrating the tangible return on investment from a smarter approach to software productivity measurement:
“Same issues, different sprint.” Does that resonate with your team? Your retrospectives dutifully identify problems, action items are meticulously recorded, and then… nothing fundamentally changes. The real issue often isn’…
Once upon a time, there was a brilliant developer who got everything they thought they wanted – a promotion to CTO.
Every day, they would look at their dashboard showing im…