The most advanced software teams are not just adding AI coding tools to existing workflows. They are rebuilding the development loop around AI-native practices.
The post cites major productivity gains from teams that change planning, review, testing, and iteration habits around AI assistance. That is a useful distinction because coding speed alone does not remove bottlenecks elsewhere in engineering.
The practical takeaway is that AI development gains may depend as much on operating model and team design as on the underlying coding model.