The AI Productivity Mirage: When More Output Does Not Mean More Value
AI can inflate output without improving outcomes. This article explains why weak metrics, faster generation, and shallow review create a productivity mirage.
Articles
Engineering Practices
Engineering practices are the repeatable habits that help teams protect quality under real delivery pressure. Code reviews, standards, documentation, onboarding, technical spikes, testing, and sensible metrics all belong here when they make the work clearer, more maintainable, and easier for others to inherit.
Below you will find a subset of articles from my blog specifically about Engineering Practices. Although this is a topic I've been working with for many years, it's fair to say that I've not written about it often. I've only managed to publish two articles about it, which you can see and read below.
The AI Productivity Mirage: When More Output Does Not Mean More Value. 
The AI Layoff Trap: When Local Efficiency Becomes Systemic Fragility. The AI Layoff Trap: When Local Efficiency Becomes Systemic Fragility
AI automation improves productivity, but unmanaged labour displacement risks weaker demand, brittle organisations, concentrated gains, and a race to the bottom.