As highlighted in Willison's post, the core issue isn't just AI making mistakes—it's AI enabling a development style where no human fully grasps the architecture. This shifts the risk from bug-fixing to system archaeology. In our view, the industry may be underestimating this accruing liability.
The promise of AI as a force multiplier is real, but its value could be undermined if it leads to codebases that are effectively black boxes to their creators. The next challenge for toolmakers won't be generating more code, but generating explainable, traceable, and ultimately maintainable systems.