Yeah that’s what we did last time. I implemented a basic framework on top of a very widespread system in our codebase, which would allow a number of requested minor features to be implemented similarly, with the minimal amount of required boilerplate, and leaving the bulk of the work to implementing the actual meat of the requests.

These requests were completely independent and so could be parallelized easily. The “framework” I implemented was also incredibly thin (basically just a helper function and an human instruction in the shape of “do this for this usecase”) over a system that is preexisting knowledge. My expectation was to have to bring someone up to speed on certain things and then let them loose on this collection of tasks, maybe having to answer some question a couple times a day.

Instead, since the assigned colleague is basically just a copilot frontend, I had to spend 80% or more of my days explaining exactly what needed to be done (I would always start with the whys od things since the whats are derived from them, but this particular colleague seems uninterested in that).

So I was basically spending my time programming a set of features by proxy, while I was ostensibly working on a different set of features.

So yeah, splitting work only works if you also have people capable of doing it in the first place. Of course I couldn’t not help this colleague either, that’s a bad mark on performance review you know. Even when the colleagues have no intention of learning or being productive in any way (I live in a country with strong employee regulations so almost nobody can be fired for anything concerning actual work performance, and this particular colleague doesn’t hide that they don’t care about actually doing a good job, except to managers so they still get pay raises for “improving”).

Yeah, you can tell I’m unhappy