AI is already reshaping who gets hired. Swedish register data, investor predictions, and political silence all tell the same story. The casualties are silent — for now.
What does the Danish housing crisis have to do with AI? More than you think. On feedback loops, proximity, equality, and why context engineering might matter more than your postcode.
Infrastructure as code, production monitoring, and observability were always best practice. With AI, they become the bottleneck — or the force multiplier. On foundations, MCPs, and why context beats intelligence.
Senior developers are struggling with the emotional weight of AI change. The rules they upheld for decades aren’t wrong — the world just moved. On guilt, identity, and building a new code of conduct.
What happened when we drew a line in the sand — and set the old rules on fire. A story about ritual, letting go, and building custom software in the moment it’s needed.
Stop relying on rules and prompts to enforce quality. Deploy linters, validators, and automated tests that make it impossible to ship the wrong thing. A practical pattern for deterministic AI-era engineering.
When AI makes software nearly free to build, what happens to intellectual property, SaaS pricing, and the millions of white-collar jobs that depend on it? A sharp look at who wins, who loses, and the window that’s closing fast.
You’ve heard the theory. Here’s the practice. Concrete dos and don’ts for making the shift to AI-first engineering — from starting with the agent to letting go of language debates.
Too many AI tools, too many buzzwords. A practical, plain-language guide for non-technical people who want to understand the landscape and know when to use what.
The shows that keep me sharp — from deep technical dives to accessible Danish shows. With standout episodes for each to get you started.
What happens when AI writes the code? 75 real questions about productivity, quality, skills, burnout, open source, and the future — answered from direct experience building with AI every day.
A senior dev’s guide to high-impact AI-driven development. The excavator analogy, four principles, and battle-tested tactics for working with AI at production scale.