I believe the key way where AI assistants really become a big help from now on depends on how many tasks you can delegate to them in parallel.
When I get down to development work, I usually have eight windows open, and occasionally when the administrative tasks start pouring in I have thirty-plus running.
You see, AI is very swift and with advances in every AI model, it's possible to entrust an AI with longer tasks. Consequently, if I only had one session open, I'd be the one waiting on the agent. Several at once is different. The agents are the ones waiting for our decision while the work continues and I believe that is how we get far more results done.
When I started I thought consistency meant never giving up. If something wasn t working my first instinct was always to try harder and give it more time. But sometimes more effort doesn t really change the outcome. It just makes it harder to admit that the idea direction or approach might need to change. How do you know when to keep pushing and when to let something go?
