One crucial factor in Stockfish becoming a leading chess engine is its test framework.
Summary: https://en.wikipedia.org/wiki/Stockfish_(chess)#Fishtest
Initial announcement: https://www.talkchess.com/forum3/viewtopic.php?start=0&t=47885&topic_view=flat&sid=b5662f579ad4c7bea91668bb9d9723a4
Lots of engines have clever programmers, but a strong test technique gave it an extra edge!
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LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!
I find myself using a "splatter then clean up" technique when working with code.
I add a ton of prints/logs/asserts/type annotations until I've found the issue. I then throw them all away!
It feels like redundant work, but I don't have a nicer solution.
One interesting technique to reduce the review burden in Home Assistant, a project with a large community: ask PR authors to review other PRs!
Screenshot is from
