Engineering
The Swiss Watch Moment for Software: How AI Is Commoditising Code (And What Survives)
AI is commoditising manual coding the way quartz disrupted Swiss watchmaking. The craft isn't dead — but the market is splitting fast. What survives.
The Ishikawa Diagram for Software Engineers: Manufacturing's Best Debugging Tool
The Ishikawa diagram solved root-cause problems in manufacturing for decades. Here's how software teams should apply the same rigour — starting now.
Cursor, Claude Code, and Copilot: An Honest Enterprise Comparison
Not a feature matrix — a practitioner's view of where each AI coding tool actually performs well and where it falls short in a real engineering context.
Technical Debt in the AI Era: What Changes, What Stays
AI doesn't erase technical debt — it amplifies it. How to think about legacy modernisation and debt management when AI tools are in the picture.
What Is Harness Engineering (And Why Your Dev Team Needs It)
Harness Engineering is the discipline of building environments that let AI agents do reliable production-grade work — and why ad-hoc AI adoption fails.
Why Your Engineers Aren't Using AI Tools (And How to Fix It)
Most companies buy AI tools for their engineering teams and see partial adoption. The problem is rarely the tools. It's the change management layer that nobody planned for.