AI Productivity Claims Are Making Your Development Teams Less Productive
Why AI productivity hype creates perception gaps and amplifies team dysfunction for scaling organizations.
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.
How to maintain quality and velocity when AI assistants become part of your development workflow
Why development fundamentals become critical when AI assistants join your workflow – and how to avoid common integration pitfalls.
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.
The Discipline Dividend: Why Boring Discipline beats Exciting Tools
Software engineering chases exciting tools over boring measurement discipline. But organizations achieving sustainable productivity gains embrace systematic practices that generate reliable data and build institutional knowledge. The competitive advantage isn’t the most innovative tools—it’s consistently measuring what matters in your specific context while competitors chase trends.
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.
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.
The $12 Billion Tools Paradox: More Tools Don't Equal More Prodcutivty
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?
Scheduling Theory To the rescue: How CTOs Build Predictably High-Performing Teams
Integrating Shortest Processing Time, Priority Inheritance, and Unplanned Work Management creates systematic high-performance development teams that deliver predictably.
The Unplanned Work Epidemic: Why Your Best Teams Can't Deliver Predictably
Unplanned work consumes 30-50% of development capacity. Separate capacity allocation and systematic management restore predictable sprint delivery.