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Why Is AI Code So Hard to Read?
We are closer than ever to writing code in plain English, but there's a paradox: the code AI generates is often harder to read than what humans wrote by hand. This episode explores the history of natural language programming, from 1960s IBM projects to modern LLMs, and asks a crucial question: can we use AI not just to write code, but to make it more intelligible? We dive into the "Expressiveness-Precision Gap," the risk of "Frankenstein Apps," and why verbose code isn't the same as readable code. If you're building with AI, this is a must-listen. Episode 1729 — myweirdprompts.com/n/1729…
The skinny
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