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Thoughts on technology, leadership, and continuous learning
Showing all 12 posts
A 2x2 grid that explains why some working relationships work and others don't. Care personally and challenge directly - but most of us drift between all four quadrants depending on context and pressure.
The two modes in practice - 90 minutes from exploratory thinking to live deployment, pushing into unfamiliar territory with API keys and GitHub Secrets.
From local development to production in a day - learning Azure, DNS, and CI/CD while quarantined to my study with a sickness bug.
Exploratory thinking partner versus execution tool - the two distinct ways I've learned to work with AI, and when each mode actually works.
Cardboard muffins, missing babies, and reward hacking - the predictable problems you'll hit when building with AI tools.
From hating chatbots to building production tools with AI - what changed wasn't just the technology, it was understanding when to build jigs.
Seth Godin's Purple Cow isn't about marketing products - it's about getting people to adopt new systems. Finding the early adopters, making things remarkable (or at least easiest), and catching workarounds before they become normal practice.
Why work takes longer than it should - the five thieves that steal our capacity without us realising it.
Who decides what to build? Who says no? Who owns the trade-offs? Learning about product ownership through projects that worked and projects that didn't.
Sometimes you need to plan everything upfront. Sometimes experimentation is dangerous. Sometimes sequential delivery is the only sensible option.
MVP isn't about building a bad version - it's about learning what matters first. From paper forms to real-time alerts in three iterations.
From plane journeys drowning in jargon to building dispatch systems on shop floors - my ongoing attempt to understand what agile actually means.