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Awesome post by Erik on how software infrastructure could (also) optimize for developer productivity. twitter.com/bernhardsson/s…
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Software products sometimes don't feel like they're designed to be delightful. This quote ==> hits way to close for me, as I've been there too many times.
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"Someone started with a wall full of post-it notes going “as a user, I want to …". Which I think logically makes sense — you can define a requirement that users should be able to do x, y, z, but you can't define that the experience shouldn't suck."
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The observations on development/production gap are so very true especially for ML in my experience. It's not just cycle times. It's not easy to have unit tests etc. in notebooks, and production code is often a rewrite.
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How do you close the gap between the two? Because in data science you're seldom done after you made it to production, but you have to go back and iterate. This could actually be a case where better tooling helps.