* Learn more of the entire stack, especially the backend, and devops.
* Embrace the increased productivity on offer to ship more products, solo projects, etc
* Be highly selective as far as possible in how you spend your productive time: being uber-effective can mean thinking and planning in longer timescales.
* Set up an awesome personal knowledge management system and agentic assistants
I actually wonder about this. Is it better to gain some relatively mediocre experience at lots of things? AI seems to be pretty good at lots of things.
Or would it be better to develop deep expertise in a few things? Areas where even smart AI with reasoning still can get tripped up.
Trying to broaden your base of expertise seems like it’s always a good idea, but when AI can slurp the whole internet in a single gulp, maybe it isn’t the best allocation of your limited human training cycles.