I really enjoyed Philip Guo's reflections on creating and maintaining PythonTutor for 10+ years in an academic context. dl.acm.org/doi/10.1145/34
What sort of software invention best fits that ecological niche (i.e. as opposed to industry)? What dev methods best serve that path?
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I’m not convinced by the premise… tools like replit have become far more popular, while aiming for the same sort of audience. To me a code visualization tool is begging to be included in a larger, more-useful system, and academia is likely insulating against user feedback
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I agree that it's begging to be included in something larger. But while that's true, I think it's also the case that this kind of complex analyzer was less likely to have been created in the first place in industry. Points to a "transfer" mindset, I guess.
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The PythonTutor story reminds me of the PureData development. Isn't portmidi also coming from academia?
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Another interesting story along these lines, the first 8 years at least.
colorforth.github.io/HOPL.html
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