Simple beats clever
- the software people trust most is usually understandable
- good defaults remove work
- every extra option has a maintenance cost
history / proof of work
Homebrew.
The reputation came from operability.
Homebrew became infrastructure because it stayed practical, legible, and maintainable under real use. That is still the bar I use now: fewer knobs, stronger defaults, and software that keeps working after launch.
- → Defaults matter
- → Complexity spreads
- → Maintenance is the product
- → User trust is earned in failure cases
What Homebrew proved
Maintenance is not a side quest
- software survives because someone keeps it legible
- operability matters more as adoption grows
- reputation comes from years of not breaking trust
User empathy is technical
- clear behavior beats magic
- failure modes need to make sense
- developer experience is system design
How that applies now
AI systems fail for the same reasons other systems fail. Too much complexity. Weak defaults. No discipline around breakage.
Implementation
Build-side work for teams turning prototypes into production systems with routing, evals, and fallback paths.
[ See implementation work ]Leadership
Senior technical direction for teams that need standards, clearer decisions, and less drift across product and engineering.
[ See the leadership model ]Architecture
Boundary design, rollout discipline, and observability for more complex agent systems.
[ See architecture work ]Why mention Homebrew at all
Because it is evidence. I have already built software that became part of other people's daily systems. The lesson was not how to win attention. It was how to keep software useful, boring, and trusted at scale.
