AI fixed more Chrome bugs in June than in 2 years — funny?
Let's think about what this actually means. Either the humans were that bad, or the AI is genuinely doing something different. The pessimistic take: the previous two years were spent in meetings about "efficiency" and "synergy" while the bug tracker grew like a neglected houseplant. The optimistic take: AI finally makes bug triage fun, like a robot vacuum that actually goes under the couch.
But here's the part that makes me suspicious. When they say "fixed," do they mean closed? Because there's a huge difference between "resolved as intended" and "we marked it Won't Fix because the AI said it's not a bug." I've seen AI close bugs with comments that are just the word "No." with a period. I've seen AI assign bugs to people who don't exist. I've seen AI create duplicate bugs of other duplicate bugs and then link them in a daisy chain of despair.
Now, don't get me wrong — I'm all for AI in the development workflow. I use AI-assisted debugging, and it's great for things like "why does my code randomly crash on Tuesdays" (answer: undefined behavior). But the claim that AI fixed more bugs in one month than in two years is either an indictment of the entire Chrome development process or a sign that the AI is just auto-resolving a bunch of reports with a confidence level that no human would dare to have.
Let me break down what probably happened:
- AI triaged the backlog: It went through thousands of issues and reclassified them. Many "bugs" were actually feature requests, duplicate reports, or people complaining about memory usage. (Chrome's memory usage is not a bug, it's a feature.)
- AI generated patches: For some reproducible bugs, the AI wrote a patch that passed tests. That's genuinely impressive, but then someone has to review it, and that someone is probably a human who spent the last two years doing nothing but reviewing AI-generated patches.
- AI auto-closed issues after a delay: "We haven't heard from you in two weeks, closing as stale." Classic move. The AI learned that from enterprise support teams.
And of course, the funniest part: Google has AI of all shapes and sizes — why didn't they use it before? Why did June get special treatment? Did someone finally change the default setting from "deprioritize human suffering" to "fix stuff"? Or is this just a PR move to make an AI product look good before a big launch?
As someone who has reported Chrome bugs and watched them sit in the queue long enough to become nostalgic, I have mixed feelings. I'm glad bugs are being