Considering quality, not quantity, when dealing with kids' screen time, and being connected to children's digital lives:
miniblog.
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Compiler error messages is such a deep topic. Even in rustc, a mature compiler that invests effort in diagnostic quality, I find interesting issues every few months.
(The majority have been fixed pretty quickly, so it's really rewarding to file issues.)
I find that I'm choosing AI tools based on the quality of the harness rather than the model.
For example, I'm using Claude Code Web because its model of remote VMs is extremely convenient. I'm using Perplexity because it's tuned really well for web searches.
I've released difftastic 0.65! Highlights of this release:
* Better parsing of Clojure, Common Lisp, Kotlin, Rust and Zig.
* Quality of life improvements for binary files.




