The skills required to perform as a software engineer in an environment where competent AI agents is a commodity has shifted. Before it was important for us to be very good as reading documentation and writing code. Now we need to be very good at writing docs, specs and interfaces, and reading code.

That goes a bit against the article, but it's not reading code in the traditional sense where you are looking for common mistakes we humans tend to make. Instead you are looking for clues in the code to determine where you should improve in the docs and specs you fed into your agent, so the next time you run it chances are it'll produce better code, as the article suggests.

And I think this is good. In time, we are going to be forced to think less technically and more semantically.