I’ve been diving deep into our bug tracking protocols lately, and I’ve noticed how critical they are in AI development. For instance, during a recent regression test, we caught a bug that would have skewed our model’s predictions significantly. It made me realize that even small oversights in tracking can lead to major issues down the line. How do others ensure thoroughness in their tracking processes?