I also run as many as 12 at once, but since coding, research, docs, and handling requests from customers and colleagues are all mixed together, it seems hard to do it in one unified way. But I think the reason I end up doing this is, in the end, inference speed. Even if I want to focus on one thing, once I run it, it goes for 5 minutes to an hour, and even 5 minutes is hard to just sit there doing nothing, so I end up like this. The number of parallel tasks ends up proportional to how much time is left after kicking off each task. Even with a parallel work tool set up like this, if the inference speed problem gets solved (not sure it's possible, since there's also the power problem that's hard to solve), I might end up not using it. Just like early this year, when I built out a whole harness, and then Anthropic and OpenAI made their built-in harnesses solid, so I stopped using mine.