The secret to doing something well is not to do it for the first time.
miniblog.
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Difftastic 0.71 is out! This is a polish release, still well worth upgrading:
* A ton of performance improvements, especially for nasty corner cases.
* Improved C++, Dockerfile, Haskell, JavaScript, Makefile, Perl, Ruby, Rust, Scala and TypeScript.
I'm trying mini projects to exercise my new programming language and find gaps.
So far I've done fizzbuzz, JSON parsing, and a crude scheme interpreter.
Any ideas for additional projects? They need to be well scoped because I keep finding e.g. stdlib crashes.
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.