Bram
Software engineer
from Belgium 🇧🇪

Bringing a teacher's curiosity to engineering, Geoffrey has evolved from ActionScript and teaching to being a product engineer, primarily focusing on the front-end (React/Next.js) while acknowledging the blurred lines of modern software engineering.
On the job, his passion lies in coaching, continuous learning, and product-first thinking, exploring technologies like Node.js and Python across the stack. While not on his day job, he values spending as little time on a screen as possible, enjoying nature through running, cycling, bikepacking, and adventures with the kids in his cargobike, as well as enduring the rollercoaster of owning a season ticket for a top-flight football team.
If you could go back in history what event would you love to experience?
I can think of a couple of iconic concerts: Sex Pistols in Manchester, Exploding Plastic Inevitable, Joy Division at The Factory, almost every concert at CBGB (Talking Heads, Television, DNA, and Mars). I would like to be able to see some bands and artists in their prime. I was born in the wrong decade :-).
We all love technology. But if you weren't working in it, what would you be doing?
I would open a record store, where I could spend my time listening to and talking about (obscure) music. A bit like the record store conversations in High Fidelity. Selling music wouldn't be a top priority.
LLMs generate code fast, but knowledge debt accumulates quickly. The fix is living documentation, and this post shows how to turn your LLM into the partner that maintains it automatically.
In part three, we look at both sides of the AI contribution debate. A working patch, real demand, never submitted, rejected because AI was involved. But maintainers are unpaid volunteers, and AI halved the cost of contributing without touching the cost of review. Both sides have a point.
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