Really depends on what you're working in. For me, I work with a lot of data frameworks that are maybe underrepresented in these models' training sets and it still tends to get things wrong. The other issue is business logic is complex to describe in a prompt, to the point where giving it all the context and business logic for it to succeed is almost as much work as doing it myself. As a data engineer I still only find models to be useful with small chunks of code or filling in tedious boilerplate to get things moving.

Agreed. Common use cases like creating a simple LMS system Opus is shockingly good, saving hours upon hours from having to reinvent the wheel. Other things like simple queries to, and interactions with our ERP system it is still quite poor at, and increases development time rather than shortens it.