This is a struggle I've also been having.
It's easier when I have 10 simple problems as a part of one larger initiative/project. Think like "we had these 10 minor bugs/tweaks we wanted to make after a demo review". I can keep that straight. A bunch of agents working in parallel makes me notably faster there though actually reviewing all the output is still the bottleneck.
It's basically impossible when I'm working on multiple separate tasks that each require a lot of mental context. Two separate projects/products my team owns, two really hard technical problems, etc. This has been true before and after AI - big mental context switches are really expensive and people can't multitask despite how good we are at convincing ourselves we can.
I expect a lot of folks experience here depends heavily on how much of their work is the former vs the later. I also expect that there's a lot of feeling busy while not actually moving much faster.
Once I started agents and Claude code hid more and more of the changes it did from me it all went downhill..
> I also expect that there's a lot of feeling busy while not actually moving much faster.
Hey don’t say that too loudly, you’ll spook people.
With less snark, this is absolutely true for a lot of the use I’m seeing. It’s notably faster if you’re doing greenfield from scratch work though.