Been running a few of these AI code review tools on our k3s cluster's internal projects. They catch things, sure, but when they're wrong, it's infuriating.
You get a comment like "Potential nil pointer dereference here." You look at the code:
```go
func getConfig(c *Config) string {
if c == nil {
return defaults
}
return c.Value // AI flags this line
}
```
The AI missed the nil guard two lines up. But there's no way to ask it *why* it thought that. No "reasoning" output. You can't tweak a rule. It's just a confident, wrong assertion from a black box.
This is worse than a noisy linter. With a linter, you can see the rule logic, adjust sensitivity, or submit a PR to fix it. Here, you're just stuck with a false positive that you have to manually ignore every time. How are we supposed to trust this in a CI/CD pipeline if we can't debug its output? Feels like we're trading control for automation magic. 🤠
yaml all the things