Eventually Inconsistent

 Almost three weeks ago, I participated in an internal AI hackathon. The idea was simple: one day to work on any work-related project, with one constraint — rely almost entirely on AI to do the work. Code generation, design help, scaffolding, naming things, documentation, the works. Naturally, I didn’t pick something easy. I decided to refactor a core part of our system — something foundational, messy, and grown over time. You know me — if there’s domain complexity, some bounded context hairball, or a little #DDDesign chaos to untangle, I’m in. It was the first time I leaned this heavily on AI in one go. Here’s what I learned. If someone tells you AI is writing ALL their code — be skeptical. In some corners of the internet, it sounds like AI can just build entire systems from scratch. In reality? If AI is writing everything for someone, either the task is trivial, or they’re cutting corners you probably don’t want to cut. In my case, the domain was non-trivial, the logic...