The best AI success
Duolingo argument from Acquired podcast.
I’m still convicted: The more useful your tool is, the easier it is for AI to make it more useful. If your tool is a pain and you use AI to fix it, that’s a recipe for disaster.
This happens in programming! Easy languages are easy for AI. Painful languages are made better with AI, but they’re still painful in proportion to their pre-AI painfulness.
kubernetes example
git example
code example: AI works well with code that is already good. Messy code is hard to edit.
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