"Extremist Programming": try to apply a technique everywhere, not just where it's commonly used.
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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
