Since I was small, I’d lived my life through screens, one way or another. For the last quarter-century or so, I had been piloting the machine of flesh and sinew to keep my mind going, rarely engaging with the machine itself. This was a mistake.

A common pattern I’ve seen over the years have been folks in engineering leadership positions that are not super comfortable with extracting and interpreting data from stores, be it databases, CSV files in an object store, or even just a spreadsheet. We’re going to cover SQL & DuckDB, then some useful statistical tools: summary stats, distributions, confidence intervals and Bayesian reasoning.

I’ve been running databases-as-a-service for a long time, and there are always new things to keep abreast of - new technologies, different ways of solving problems, not to mention all the research coming out of universities. In 2025, consider spending a week with each of these database technologies.

It’s been over 14 years since the original 7 Languages in 7 Weeks was first published, giving a hands on tour of Ruby, Clojure, Haskell, Io, Scala, Erlang and Prolog. Ruby achieved critical mass, to some degree so did Scala, with the others being popular within their specific niches. This post shows 7 languages worth exploring in 2025.

I’ve been having a bunch of conversations with my team about our career ladder, and what it means to be “senior” in a software engineering context. It’s a little different in every company, but here is my view.