Throughout my career, the most meaningful achievements were not technologies, architectures, or deliveries - they were the people who grew around me. Many of them went on to become leaders, architects, innovators, and trusted voices in their organisations. For me, that has always been the real success measure of leadership.

In this new podcast, I reflect on what it truly means to be surrounded by talents - how to recognise potential early, how to support people without micromanaging, and why mentorship is not an optional activity, but a core responsibility for anyone in a leadership position.

I also connect these experiences to research on psychological safety, stretch learning, and mentoring - and even to the Danish ATU initiative, which shows that talent development can begin much earlier than we often think.

If you are a leader, an aspiring leader, or someone who simply cares about people and growth, I hope this reflection resonates.

👉 Read the full article here: Surrounded by Talents

The Secrets of Efficient Stand-Ups - Why They Fail, and How to Make Them Work

Most stand-ups feel like this:
“Yesterday I did X, today I’ll do Y, no blockers.”
A round of micro-monologues… and very little actual coordination.

In my new article, I explore why stand-ups so easily drift into status reporting-and how small changes can transform them into the most valuable 15 minutes of your day.

Here’s what you’ll take away:
• Why focusing on individuals destroys team flow
• How walking the board unlocks real collaboration
• The one question that instantly elevates any stand-up

👉Read the full article here

SPECIAL EDITION!

“THE HUMAN AI DETECTORS - And Other Familiar Enemies of Progress”

Today’s post is a little different from my usual deep dives into engineering culture, architecture, and leadership.
This one is a Special Commentary Edition - because sometimes the funniest (and most revealing) lessons about modern work come from outside the codebase.

We’ve all lived through the same old warnings:
🧮 “Calculators will make you forget math.”
📱 “SMS will make you forget grammar.”
👥 “Social media will destroy real friendships.”

And now the 2025 classic:
🤖 “AI will make your brain stop working.”

Meanwhile, anyone who has actually used an LLM knows the opposite is true:
👉 AI is a productivity multiplier.

But here’s where the story gets interesting…
There’s a growing group I call THE HUMAN AI DETECTORS - often in recruiting and headhunting - who live in a perfect paradox:

“We help you improve your LinkedIn with AI!”
…but also…
“We reject applications if they used AI!”

It’s like telling a finance candidate not to use Excel,
an engineer not to use CAD,
or a driver not to use power steering because “real drivers use muscle.”

In this commentary piece, I explore why this mindset exists, why it’s flawed, and what it reveals about our relationship to technology, truth, and talent.

This one is humorous - but with a serious message underneath.

👉 Read the full Special Commentary Edition here:
THE HUMAN AI DETECTORS - And Other Familiar Enemies of Progress