What changed for me with LLM tooling
The interesting question stopped being “can the model write this for me” and started being “what do I actually want to be doing with my time.”
Thoughts on software, AI, systems & the work in between.
The interesting question stopped being “can the model write this for me” and started being “what do I actually want to be doing with my time.”
CAP gets all the press, but the part that actually shows up in your week is the apology email you send when something inconsistent leaks into a customer’s view.
Spent six months writing Rust on a side project. Came back to Python and started catching bugs I’d been writing my whole career.
A retrospective on the time we spent six months migrating to k8s and what it actually cost us in throughput.
Everyone has opinions about microservices. Almost nobody writes about how nice it is when one git pull gets you the whole system.
Spent five days at a friend’s firm watching trading systems engineers work. Most of what I thought I knew about “fast” turned out to be wrong.
I tried to learn GNNs from papers three times and bounced. The thing that finally worked was building a tiny one for a problem I cared about.
The single highest-leverage habit I’ve developed in the last few years is reading my own diff like a stranger before I post it.
Moved one endpoint from a regional Lambda to a Cloudflare Worker and the resulting latency improvement quietly fixed a bug we’d been chasing for months.
I am a fan of putting infra in git. I am not a fan of putting infra in git and then pretending the world stops there.
An honest accounting of what I’ve actually read versus what I pretend to have read about post-quantum cryptography.
Nobody is hyping it on the timeline. Meanwhile half the tools I open in a tab are doing things I’d have called impossible in 2018.
When the Postgres bill goes up, it’s tempting to start shopping for shards. The cost shows up later, when every product question turns into a routing problem.
Three projects in I started noticing the same thing: event-driven systems are wonderful for the parts they’re great at, and terrible everywhere else.
A working engineer’s honest read on alignment research. None of this is original. All of it is what I think about between standups.