I used to update a major numerical python library periodically, and sometimes the global test would show that some Java code broke. at first, I assumed it was just a false positive, but some sleuthing showed the Java code had embedded a python script that ran numpy to compute something over an array (whyyyyyyyyy) and numpy just happened to start outputting some slightly different values for that computation.
These are the perils and promises of the monorepo.
By the time I finished maintaining numpy, I could more or less find the right person with a couple minutes poking. Again, it's one of the things that google managed to do well- a large scale code base with many developers working more or less in concert, with efficiency at scale.
It's still a little more complicated because then you have to bisect over a list of changes and not a raw range, but still.