I think that is the nature of being a software engineer, even before AI you had to keep learning new libraries/SDKs/APIs/languages to keep up with the industry trend. I think it will remain the same in the age of AI, good engineers will adapt.
I think that is the nature of being a software engineer, even before AI you had to keep learning new libraries/SDKs/APIs/languages to keep up with the industry trend. I think it will remain the same in the age of AI, good engineers will adapt.
IMO the reskilling is not that hard. Leetcode and applying for jobs has been way harder. In fact, the AI reskilling has been a boon for me. Suddenly I'm able to get a job way more easily and get to call myself a senior, all of a sudden. And the fact that I'm a generalist is really playing to my strength for the first time [1].
So yea, I really welcome the change.
[1]
What I mean with being a generalist:
Did iOS dev as a student, web dev bootcamp instructor, teaching assistant (programming), teaching fellow (programming), found some SQL injections + docker vulnerabilities + replicated rowhammer with WebGL, did a lot of full-stack engineering (5 years), did a UX bootcamp, studied 2 bachelors + 1 masters + research master which is 2 years (psych, business, CS and game-design). Each full-stack engineering job was in a different language (C#, Java, JavaScript, TypeScript, Pharo/Smalltalk, currently JS & Python).