An effect that’s being more and more widely reported is the increase in time it’s taking developers to modify or fix code that was generated by Large Language Models. If you’ve worked on legacy systems that were written by other people, perhaps decades ago, you’ll recognise this phenomenon. Before we can safely change code, we first need to understand it – understand what it does, and also oftentimes why it does it the way it does. In that sense, this is nothing new. What is new is the scale of ...