My restaurant anecdote: a lesson in leadership

GenAI and quantum computing feel like they’re pulling us out of an era when computers were reliable. You put in inputs and get consistent, predictable outputs. Now? Not so much. Both tease us with incredible potential but come with a similar problems: they’re unreliable and hard to scale. Quantum computing works on probabilities, not certainties....

Are GenAI copilots helping us work smarter – or just faster at fixing the wrong problems? Let me introduce you to the concept of “failure demand.” The most widespread adoption of GenAI is copilots – Office365 CoPilot and coding assistants. Most evidences suggests they deliver incremental productivity gains for individuals: write a bit more code,...

Hiring is one of the most impactful decisions for any organisation. The wrong person can badly impact the culture and performance of the organisation, absorb time in performance management and be a significant distraction. Informal recruitment processes are leaving things down to chance. Inefficient processes consume time and risk losing top...

How do Generative AI tools impact software developer productivity and code quality? A recent large-scale study – one of the most empirically robust I’ve seen – tackled this question by analysing 218k+ developers across 880m+ commits (with control groups and everything). The results? A modest but consistent 4% productivity boost without...

I ran a LinkedIn poll asking software developers about their experiences using AI coding assistants with production code. The results were interesting 👇 Why production code? Developers spend most of their time writing it, and AI tools can handle non-critical activities like proof-of-concepts, solo projects, and quick experiments fairly well. I...