The Devs went in kicking and screaming. As an SRE it seemed like for SDEs, writing a description of the change, explaining the problem the code is solving, testing methodology, etc is harder than actually coding. Ironically AI is proving that this theory was right all along.
One can also point QA or consultants to a ticket for documentation purposes or timeline details.
But putting the ticket number in the commit ... that's basically automatic, I don't know why it should be that big a concern. The branch itself gets created with the ticket number and everything follows from that, there's no extra effort.
That poster said "attach a JIRA Ticket to the PR", so in their case, it's not that automatic.
I haven't dealt with non-Atlassian tools in a while but I assume this is pretty much bog standard for any enterprise setup.
Only problem there is the potential for a deeply-ingrained assumption that the Jira key being in the branch name is sufficient for the traceability between the Jira issue and commits to always exist. I've had to remind many people I work with that branch names are not forever, but commit messages are.
Hasn't quite succeeded in getting everyone to throw a Jira ID in somewhere in the changeset, but I try...
We are engineers, everything is a problem waiting to be automated :)
Most shops I've been at prefix their branch names with ticket numbers ("bug-X-" or "TCKT-Y-"), and then it's trivial to reference it back. Some will write scripts on top, which gets them even more motivated to solve your problem (and might add links into the tracking tools too, move the ticket to "In Review" when the PR is up, close it after it's merged...).
If you consider that reviewer bandwidth is very limited in most projects AND that the volume of low-effort-AI-assisted PR has grown incredibly over the past year, now we have a spam problem.
Some of my engineers refuse to review a patch if they detect that it's AI-assisted. They're wrong, but I understand their pain.
As a reviewer with limited bandwidth, I really don't see why I should spend any effort on those.
IME, "AI" PRs are categorically that kind of PR. I find, and others around me in my org have agreed, that if you actually do all that you describe, the actual net time savings of AI are often (for a mid-level dev or above) either net 0 or negative.
I personally have used the phrase "baptized the AI out of it" describing my own PRs... Where I may have initially used AI to generate a bunch of the code, looked at it and went "huh neat that actually looks pretty right, this is almost done." Then I generate unit tests. Then I fix the unit tests to not be shit. Then i find bugs in the AI-generated code. Then upon pondering the code a bit, or maybe while fixing the bugs, I find the abstractions it created are clunky, so I refactor it a bit... and by the time I'm done there's not a lot of AI left in the PR, it's all me.