The exact opposite will be true and the funny (sad?) part is that they will lack the skills necessary (because they got lazy and over-trusted the AI) to fix mistakes/incompatible solutions.
The exact opposite will be true and the funny (sad?) part is that they will lack the skills necessary (because they got lazy and over-trusted the AI) to fix mistakes/incompatible solutions.
Maybe my work is not too typical though, I spend only a fraction of my time actually typing in code. And I do eliminate the need for boilerplate through other means (picking frameworks/libraries that are a good fit for the problem, refactoring, meta programming, scripts, suitable tool chain etc).
Is that enough to be competitive?
I’m not sure — but at scale that would be a 5% reduction in headcount for the same work, or ~$12M/yr for every 1,000 engineers.
If you can figure out how to get 2-3 hours more coding done a week, we’re talking real gains.
Did they help people write lots of effective code faster? Yes.
Did they breed a generation of people with little intuition around how memory works? Also yes.
People are starting to rely on LLMs to do almost everything they've been hired to do for them.