Software Engineering
- - AI-Adjacent Tools: What's Worth the Complexity
- - Engineering Starts Before the First Line of Code
- - Decoding the 2025 DORA Report: What AI-Assisted Development Means for Engineering Excellence
- - 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
- - Task Decomposition for AI Collaboration: The Art of Prompt-Ready Work Boundaries
- - The Compass Pattern: How Smart Documentation Architecture Saves $0.63M Annually
- - Leading Without Authority: The Senior Engineer's Paradox
- - The Hidden Cost of Cheap AI: Why Your Organisation's Strategy is Creating a Skills Crisis
- - Brushes and Algorithms: What the Miniature Painting Community Teaches Us About AI in Creative Work
- - The Great Wait: How AI Expectations Are Freezing the Software Engineering Job Market
- - 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
- - Hiring Engineers in 2025: Testing AI Collaboration, Not AI Avoidance
- - Why Hybrid Development Critics Are Fighting Yesterday's War
- - AI Will Write All Our Code… and Other Fairy Tales