Tech
How systems, interfaces, and the tools we build with actually work — the tradeoffs hiding inside a feature flag, a cache, an API, an AI eval. For the parts of engineering that shape the product, not just the parts that pass code review.
Tech01
The better your AI gets, the harder the human's job becomes
Tech02
Exactly once is a story you tell yourself
Tech03
When the cache expires, everyone shows up at once
Tech04
You can't have all three when the network breaks
Tech05
A feature flag is a loan against your future simplicity.
Tech06
You can't just change the table
Tech07
You can't fix what you can't ask
Tech08
Evals Are the Unit Tests of the AI Era
Tech09
A queue is a loan, not a fix
Tech10
Everything you cache is a bet that the world will hold still
Tech11
Don't tear down the fence until you know why it's there
Tech12
Undo is the most underrated feature you can build
Tech13
Your architecture is your org chart
Tech14
Calibrated confidence: why AI products live or die on knowing when they don't know
Tech15
Every abstraction leaks. The skill is choosing which leaks you'll live with.
Tech16
Your stack is a liability, not an asset
Looking for something else? All of Working Theory →