Don't confuse work ethic with work volume

Don’t confuse “work ethic” with “work volume.” Bryan Cantrill’s latest post is a precision strike on the “37k lines of code a day” crowd. In engineering, “virtuous laziness” is about spending hours in a hammock to find the one abstraction that saves weeks of toil. It’s about minimising cognitive load because human time is finite. LLMs have no such constraints. They don’t feel the “cost” of complexity, so they’ll happily bake you a 37,000-line layer cake of garbage just because it’s “free” to generate. ...

April 13, 2026 · 1 min · Nick Schmidt (oneguynick)

Your daily commute: dirt cheap in an EV

Your daily commute: dirt cheap in an EV. The average American drives ~64 km per day. Charging overnight at home costs roughly $0.80 per day, or about $24 a month. Compare that to your current expenditure at the pump. No early morning petrol station detours. No price spikes. Just plug in, sleep, and wake up with a “full tank” every single morning. The maths isn’t complicated. The savings are real. The convenience? Massive. ...

April 13, 2026 · 1 min · Nick Schmidt (oneguynick)

Reporting for Duty: From 90s Light Infantry to Modern Bitpacking

Standard serialisation protocols have gone AWOL. If you want to get the packet home with only 50 bytes of airtime, you need to enlist bitpacking.

March 27, 2026 · 4 min · Nick Schmidt (oneguynick)

RF is More Magic Than Science: Exploring Meshtastic

My dad was a ham radio operator, so I spent a good chunk of my childhood tearing down rigs and building antennas with him. By the time I was old enough to break things on my own, I was compiling Linux kernels with AX.25 support just to mess around with packet radio. Truth is, RF is more magic than science. You can do the math all day, but physics always gets a vote in the end. ...

February 24, 2026 · 2 min · Nick Schmidt (oneguynick)

The Geek’s Guide to Bio-Telemetry: Validating the Gummy 🐻 Protocol

The breakthrough came when I stopped treating the wearable as a “coach” and started treating it as a sensor. Strategic Summary The Risk: Blindly following “black box” AI health advice. The Solution: Custom data wrangling and multi-year trend analysis. Status: Mission success confirmed by raw data, not app badges. I’ve been a health data geek since the Nike+ shoe sensor era. What started as curiosity evolved into a full-scale surveillance mission on my own biology. By leveraging AI to parse a decade of movement and heart rate trends, I’ve extracted actionable intelligence that not a single health professional has ever asked to see. It’s a strange tactical oversight: we have the telemetry, but it remains siloed from the people managing our care. ...

February 19, 2026 · 3 min · Nick Schmidt (oneguynick)