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Healthy code for healthy teams (or the other way around)

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Healthy code for healthy teams (or the other way around)
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Codebases often disappoint us, but we keep creating new ones with the absurd hope that it will be different this time. Spoiler alert: it never is. Notably, research codebases need to fulfil the oxymoron of being robust for long and large computations and highly flexible to experiment with outlandish ideas quickly. But what if there was a way to break the cycle and build code that endures, even for groundbreaking research. This talk isn't about magic bullets or silver linings. It's about the powerful connection between healthy teams and healthy code. We'll explore how a healthy team improved the health of a codebase by introducing type annotations and runtime type checking for JAX arrays.