Tried that last year and the problem was, the tickets themselves were broken down well enough to make sense to the naked eye. The second problem was that it was all for a legacy codebase where practically everybody who had built it over the years had left, so it was a real don't-know-what-you-don't-know situation.

The second problem was always going to be there, even with human written tickets, but the problem really is that someone who relies on AI gets into the habit of treating the LLM as a more trustworthy colleague than anybody on the team, and mistakes start slipping in.

This is equally problematic for the engineers using AI to implement the features because they are no longer learning the quirks of the codebase and they are very quickly putting a hard ceiling on their career growth by virtue of not working with the team, not communicating that well, and not learning.