Perhaps due to FOMO outbreak[1], upper management everywhere has demanded AI-powered productivity gains, based on LoC/PR metrics, it looks like they are getting it.

1. The longer I work in this industry, the more it becomes clear that CxO's aren't great at projecting/planning, and default to copy-cat, herd behaviors when uncertain.

This is the part that doesn't get talked about enough. Code review was never just about catching bugs it was how teams built shared understanding of the codebase. When someone skips reviewing their own AI-generated PR, they're not just shipping unreviewed code, they're opting out of knowing what's in their own system. The trust problem isn't really about the AI output quality, it's about whether the person submitting it can answer questions about it six months from now.

Putting too much trust in an agent is definitely a problem, but I have to admit I've written about a dozen little apps in the past year without bothering to look at the code and they've all worked really well. They're all just toys and utilities I've needed and I've not put them into a production system, but I would if I had to.

Agents are getting really good, and if you're used to planning and designing up front you can get a ton of value from them. The main problem with them that I see today is people having that level of trust without giving the agent the context necessary to do a good job. Accepting a zero-shotted service to do something important into your production codebase is still a step too far, but it's an increasingly small step.

I’m so disappointed to see the slip in quality by colleagues I think are better than that. People who used to post great PRs are now posting stuff with random unrelated changes, little structs and helpers all over the place that we already have in common modules etc :’(