I write Jira tickets with what needs to be achieved and why, and usually my preferred method of doing it and if there's any constraints. I usually don't much care exactly how it's done, as long as it works, but sometimes it needs to fit into the bigger picture in a way that might not be obvious. My team have different strengths, and I'm more than happy for them to do what they do best. Most of my tickets range from two to six sentences in length - some are longer if it's complicated, but most things aren't.

My managers don't think that's enough for a ticket, and have been using LLMs to boost them up to several pages. That obviously requires making up tonnes of shit and overspecifying shit that doesn't need specifying. We have to waste time verifying that we've not now got requirements that make no sense, and now have pages of test notes of things that don't need testing, which means tickets now take days rather than hours to complete.

No-one can read these multi-page monstrosities, and are using LLMs to compact them down to a few sentences again.

I can't believe that we're boiling the oceans for this shit.

I've been asked by my manager to come up with a goal for next year on how to augment my job with GenAI.

Why not combine two hatreds at once - GenAI and Jira. Thanks for the idea!