The product world has a somewhat accepted idea to prototype to production framework. AI code generation is great in that world because there is a process to discover what problem to solve.

System maintenance doesn't have a clearly defined "what problem to solve" path. Maybe it's smallest deployable increment to confirmed value delivery. But that's harder to systematize. And AI code generation is probably not a helpful tool here.