When I started building my Kubernetes Operator, I wasn't a Go developer.
I had deep Kubernetes expertise. Deep database expertise. Seven years of enterprise platform work. But Go? I was learning it as I went, reading documentation, studying patterns, understanding idiomatic practices for the first time.
The operator shipped in two weeks anyway.
Not because AI replaced the expertise I didn't have. Because the expertise I did have (knowing exactly what the system needed to do, understanding the Kubernetes internals, seeing the database behavior clearly) was the hard part. AI helped me express that expertise in a language I was still learning.
That distinction is everything.
