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.
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Why development fundamentals become critical when AI assistants join your workflow – and how to avoid common integration pitfalls.

Technical improvements fail when teams don’t perceive productivity gains. Great teams align actual productivity with perception of productivity through disciplined practices.

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.

Este articlulo es una mirada al aprendizaje de trabajar un mes codificando con AI.

When observing AI productivity claims, we need to be able to judge the objectivity and skin in the game of our sources.

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.