Building Systems That Matter
There's a quote I keep coming back to: "Good design is as little design as possible." — Dieter Rams.
The same applies to engineering. The best systems are the ones you never notice. They don't crash, they don't lag, they don't make you think. They just work.
The Invisible Engineer
When I think about the software I admire most, it's rarely the flashiest. It's the stuff that disappears into the background:
- Git — so fundamental we forget it exists
- SQLite — running on literally billions of devices
- cURL — the silent workhorse of the internet
These tools don't demand attention. They earn trust through reliability.
What I Optimize For
When I build something, I ask three questions:
- Does it solve a real problem? Not a hypothetical one.
- Is it simple enough? Complexity is a liability, not a feature.
- Would I trust it at 3 AM? If I'd be scared to get paged, it's not ready.
The 3 AM Test
I call it the "3 AM test" because that's when systems reveal their true nature. At 3 AM, nobody's watching the dashboards. The on-call engineer is half-asleep. If your system can't handle itself at 3 AM, you've built something fragile.
# The best error handling is the kind you never see
def process_safely(data):
try:
return transform(data)
except TransformError as e:
log.warn(f"Transform failed, falling back: {e}")
return fallback(data)
# No crash. No page. Just graceful degradation.
Building in Public
I've started sharing more of my work publicly — not because I think it's perfect, but because I believe in learning out loud. Every project I ship teaches me something I couldn't learn any other way.
The portfolio you're reading this on? It's built with Next.js, MDX, and a lot of late-night iteration. And yes, it passes the 3 AM test.
Thanks for reading. If you want to chat about systems design, signal processing, or anything else, feel free to reach out.