Paarthmj

Pace vs quality is going to be the debate for the next couple years!

well, it's not per-engineer. instead, the managers get team-wide metrics so the idea is that they know what the quality of their teams code is, and they can recommend trainings / meetings on how to improve on X part of their AI workflow.

Yeah, curating exactly what's important to see as a manager is a difficult part of this journey!

It's a combination of DORA metrics (software delivery) + maintainability score + complexity score.

are unit tests even still useful?

yes, I agree with what the others have said that amount of code written is not a metric for "engineering skill." However, I do think that once the requirements have been scoped properly, there's no reason for a human to be involved in that stage.

The spec-development & testing phases before and after implementation can and should have human involvement, not the implementation. With that being said, there's so many places for this SDLC to be optimized / made more productive with agents that I think everyone should be using them. How well you use them, now that's another story... (check out the above^^)!

the teams product does, working on support for the cc-audit product!

Yeah, the mimicking pattern thing is very interesting, didn't know that but definitely relevant. Love the way you use it as a pair programmer, definitely best if you want to learn! I would love to know why the idea doesn't resonate with you though. Also, thanks a bunch for the detailed feedback!

Thanks a bunch Adam! I think the fighting drift point is super interesting, haven't heard that often!

I guess it's not AI but AI agents. For the coding ones specifically context management, skill usage, etc. does matter quite a bit.

love the idea, would love a messaging version

would there be any curated lists? feel like I would love to see the top ai posts/minds in one spot.