Earlier quoted context omitted.
> So in that extra time, you can now stack more PRs that still have a 30 hour review time and have more overall throughput Hang on, you think that a queue that drains at a rate of $X/hour can be filled at a rate of 10x$X/hour? No, it cannot: it doesn't matter how fast you fill a queue if the queue has a constant drain rate, sooner or later you are going to hit the bounds of the queue or the items taken off the queue…
This is the fundamental issue currently in my situation with AI code generation. There are some strategies that help: a lot of the AI directives need to go towards making the code actually easy to review. A lot of it it sits around clarity, granularity (code should be committed primarily in reviewable chunks - units of work that make sense for review) rather than whatever you would have done previously when code prod…
Why don't those other dimensions, and especially the code modularity, already reflect the lines of business risk?
Lemme guess, you cargo culted some "best practices" to offload risk awareness, so now your code is organized in "too big to fail" style and matches your vendor's risk profile instead of yours.