What particularly gets me is if you use AI with a bit of engineering rigor, especially around design and testing my experience is the latest models are great to work with. They can structure performance and stability tests, implement 90%. Humans have to do the hardest and critical 10% of the design. The current tools are good enough to do virtually all of the implementation now if your quality gates are right and your design is good enough, but you absolutely have to design the right things for your scale and reliability needs or very bad things are in store.