AI might be a market bubble. It’s not a technology bubble. It’s entirely possible that OpenAI overextended financially, that the circular transactions between AI labs, NVidia, and tech giants like Oracle will end badly (some commentators argue Oracle is in trouble already and that’s the real reason behind the mass layoffs). It’s beyond doubt that […]

Lately I’ve been seeing more and more companies preparing to roll out AI tooling to their engineering organizations. Hundreds, sometimes thousands of programmers are about to be told: here are your new tools, here is your training, here are the metrics we’ll use to measure adoption. The usual playbook. I came across a job posting […]

During a recent discussion on product management, one of the participants cited the iPhone as an example of visionary genius – a bold leap into the unknown, so audacious that only a true visionary like Steve Jobs could have made it, made without any research or the incremental, empirical development process I had been discussing. […]

Recently a colleague told me how he runs multiple instances of Claude Code in parallel. He was very excited about how this speeds up his product’s development. But I think this is a trap. The trap is twofold. The Technical Trap The first level is of course the huge potential for bad architecture and hard-to-find bugs. Despite […]

The MIT report showing that 95% of companies achieved no benefits from the billions spent on (mostly pilot) AI implementations continues to reverberate widely across the internet (and especially on antisocial media). Commenters typically treat it as proof that AI is just hype that won’t fundamentally change anything in the world. My opinion, however, is completely different. […]

Scrum – a method for engaged professionals to work better together. This is my definition of what Scrum is – and what it has been from the very beginning. Let’s break down this definition into parts: Do you now understand why the average Scrum in an average company is the way it is? Do you […]