The finding that contradicts how most teams deploy AI assistance is stated almost in passing: the tenfold return arrives where an engineer is weakest rather than strongest, so someone without a security background suddenly shows a better security posture. That reverses the usual rollout order, which gives these tools to the strongest engineers first on the theory that leverage compounds on capability. It also creates a verification problem, because the reviewer most likely to be assigned shares the same gap. The speaker who previously ran the foundation behind Kubernetes brings a specific scepticism about lock-in, framed as this era already reproducing the last one's portability and cost-control problems — though the sharper observation is that context held in implicit memory or a conversation window has no export format at all. Their overnight scheduler blocks only for architectural decisions, which is a well-drawn line with no one watching it.