I used to use them mostly in "smart code completion" mode myself until very recently. But with all the AI IDEs adding agentic mode, I was curious to see how well that fares if I let it drive.
And we aren't talking about trivial bugs here. For TypeScript, the most impressive bug it handled to date was an async race condition due to missing await causing a property to be overwritten with invalid value. For that one I actually had to do some manual debugging and tell it what I observed, but given that info, it was able to locate the problem in the code all by itself and fix it correctly and come up with a way to test it as well.
For C++, the codebase in question was gdb, the bug was a test issue, and it correctly found problematic code based solely on the test log (but I had to prod it a bit in the right direction for the fix).
I should note that this is Gemini Pro 2.5 specifically. When I tried Google's models previously (for all kinds of tasks), I was very unimpressed - it was noticeably worse than other SOTA models, so I was very skeptical going into this. Indeed, I started with Sonnet precisely because my past experience indicated that it was the best option, and I only tried Gemini after Sonnet fumbled.