Continuous Improvement
- - AI-Adjacent Tools: What's Worth the Complexity
- - Helping AI Agents Remember: Managing Context and State in Long-Running Projects
- - Measuring What Matters: How to Evaluate Testing Effectiveness in AI-Assisted Development
- - The Testing Antipatterns AI Exposes: Common Practices That Fail Under AI Acceleration
- - Why Testing Matters More in the AI Era: The Critical Discipline We Can't Afford to Skip
- - The Hidden Cost of Cheap AI: Why Your Organisation's Strategy is Creating a Skills Crisis
- - Documentation as Decision History: Creating Better Paper Trails for Teams and AI
- - Too Many Ideas, Not Enough Systems: Building Your External Brain
- - Better Communications for Software Engineering: The Foundation of Process and AI Success
- - Why Operational Excellence Must Be Everyone's Responsibility: The Foundation of Successful Software Delivery
- - The Agile Metrics That Actually Matter (and How to Use Them)
- - The Problem with PI Planning and the Truth About Agile Metrics
- - Why Agile Estimation Fails (and What You’re Really Measuring)