Leadership

Show me the way: engineering demo 101

Engineering demos fail when they present what was built instead of why it matters. A practical guide to leading with business impact, showing the happy path, and translating technical work into terms your audience actually uses.

The AI skills gap

In 40+ interviews, senior engineers from major banks and consultancies showed strong backgrounds but little real AI fluency. No RAG, no agent frameworks. The gap isn't about skill, it's about exposure.

Your codebase is a commons

Your codebase degrades the same way shared resources do: not from malice, but from missing governance. Elinor Ostrom proved the commons can survive. Her principles map to software teams with uncomfortable precision.

We're not a normal company

Every software company claims to be different. The "we don't need X because we have culture" exemption is special pleading. The four phrases that reveal it, and the questions that break them open.

The CTO as prisoner

CTOs who built their company's survival by doing everything can't escape that role by scheduling a holiday. Moving from doing to enabling is a skill and identity shift at once. One thing handed off permanently is where the exit starts.

Mental capacity is a bottleneck

AI removes bottlenecks until it reaches the one that doesn’t move: human cognition. The faster AI makes your system, the more your team’s mental capacity becomes the constraint. You can’t add more of it.

Taste is the moat

When AI closes the execution gap, taste becomes the differentiator. Curation, judgement, and the willingness to say “not this” compound over time in ways that models can’t replicate.

The authenticity tax

AI-generated content has made polished writing look suspicious. The deeper cost is the thinking you skip when you outsource the words that define your position.

The cost of the quick fix

The quick fix isn't cheaper. It's cheaper today. Bram Devries traces how deferred fixes compound into emergencies, and argues that naming the trade-off out loud is the only way to break the cycle.

The SaaS audit bingo card: insights after auditing 180+ SaaS companies

After auditing 180+ SaaS companies, the same patterns keep showing up: a CTO who does everything, documentation nobody updates, a backlog from 2019. Here's what the bingo card looks like, and what AI is changing about it.

Be a lobster

The processes that got you here will eventually constrain you. Like a lobster shedding its shell, scaling companies must periodically dismantle what worked intentionally, not in panic. Constraints aren’t a failure; they’re proof you’ve outgrown your current structure.

Who teaches the next generation?

AI has removed the junior work that used to build software engineers. Seven other industries faced the same disruption and didn't agree on an answer.

The disconnect between management and engineering

A mobile app, past its usefulness, was days from being phased out. One email reversed the decision. No discussion. No input from engineering. This is what happens when decision-making drifts too far from the work.

The CTO's guide to AI adoption strategy

AI adoption fails when treated as a tool rollout. This guide covers the decision framework, team dynamics, economics, and mistakes from 150+ technical audits.

The value of code review

Code reviews improve more than code quality. Done well, they shape better problem-solving, expose edge cases, and spread knowledge across teams. Learn how small, focused reviews and AI support help teams ship faster with confidence.

Subscribe