A constantly cycling proliferation of different languages, frameworks, libraries, etc. that all do the same things in a different way and are most often mutually incompatible with each other and have entirely different ecosystems with their own comparative advantages but also major pitfalls. This causes tech workers’ investment in skills to get more out of shallow knowledge and trivia than on deeper concepts, creates silos of employment opportunity based on the trivial knowledge workers have, and hinders the ability for the software engineering field as a whole to have a large pool of shared knowledge and develop and evolve stable, relatively timeless systems and tools of high quality, both as end products and in intermediate tooling toward those ends. I was thinking about the reasons why this happens, and I see two major factors: 1) The tension between abstraction and optimization. To put it shortly, abstraction is about ignoring the details, optimization is about fine-tuning ...
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