This article examines how traditional code reviews often miss critical bugs that lead to significant production failures, highlighting a $2.1 million loss caused by a simple validation error. It discusses the inefficiencies of the process, the high costs involved, and the increasing role of AI in optimizing code review tasks.

The article explores how change, rather than just bad code, is often the root cause of software bugs. It highlights various sources of change, such as dependencies, distributed systems, and configuration issues, emphasizing the importance of managing change to mitigate unexpected problems.