Discussions often focus on AI generating code at speed, yet the true constraint is rarely the act of coding itself. The real hurdles involve team alignment, verification processes, and conflicts over common development setups. As AI assistants generate an increasing volume of pull requests, these challenges intensify for groups lacking robust deployment systems.
I spend a lot of time developing and teaching people about Clojure's open source tools for working with data. Almost everybody who wants to use Clojure for this kind of work is coming from another language ecosystem, usually R or Python. Together with Daniel Slutsky, I'm working on formalizing some of the common teachings into a course. Part of that is providing context for people coming from other ecosystems, including "translations" of how to accomplish data science tasks in Clojure.
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# Injection program
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