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>I wonder also how much of a driver new programmer productivity tools like copilot and ChatGPT are factoring into this. If your top 10% productivity workers jus

by 0xDEF 3y ago

>I wonder also how much of a driver new programmer productivity tools like copilot and ChatGPT are factoring into this. If your top 10% productivity workers just got a 30%+ productivity boost, that means you can easily shed the bottom 20% productive workers and still be ahead of the game. I have been evangelizing GitHub Copilot (+ Copilot Chat) and ChatGPT Pro to my coworkers that include full-stack .Net/React devs, Python data science people, and embedded C devs. Only the .Net/React devs have been sticking to both Copilot and ChatGPT Pro. The Python data science are using ChatGPT Pro but have dropped Copilot. The embedded C devs are using neither.

JAlexoid 3y ago
There's a very simple reason for it - the amount of slightly customized code is directly proportional to automation. When working with embedded systems - I barely ever have "lightly" customized code. Meanwhile the closer you're to the frontend - the closer you get to having majority of your code being boilerplate.