So a lot of this increase in bug reports lately is simply that we are more able to find issues which would previously have been shipped and probably wouldn’t have even been noticed by users for a long time. The minimum bar for software quality is going up, there's no excuse to ship software which contains bugs that could be detected by an LLM.
> Did someone not understand what went in?
Unlikely, from the context.
> Might someone have offloaded their thinking to some external tool?
No, according to the author, since the features predate most current LLM assisted coding.
> Did people stop caring?
I'm not sure what this means. Presumably things were reverted because people cared enough to make sure it was good quality before being released.
> Did someone not plan or design a feature in full?
An admitted possibility
> Were the timelines unrealistic?
Depending on what you mean, that may be correct according to the article, but I suspect not in the way you mean.
> Maybe with so many reverts timelines should be revised?
It sounds like there was a very large increase in load in some of the people that would commonly review during this time period, and that may or may not continue to happen to a greater or lesser degree in the future, it depends on how LLMs advance in finding bugs and if there are other large waved of bugs reported.
A bunch of features that made it to beta turned out not to be in a state that could be made satisfactory for release time and so was reverted.
That seems to me to be the right thing to do. Unfortunate, but the right thing to do.
“[something] will continue until morale improves” is usually a sacastic dig at tone deaf and incompetent leadership (e.g, “firing will continue until morale improves”)
I don’t think that is fair to say here.
Or if not the title, the general context is this: https://news.ycombinator.com/item?id=50119991
Since people refuse to read things on HN, I might as well bubble up this particular bullet point.
Generally, software engineering like other industries is evolving and there is need for different facilities. Consider graph and vector databases featuring, as well as json columns as examples of things you that are relatively recently in common use.