> Is this something that people are seriously thinking they'll be able to do and successfully stay gainfully employed and contributing to the world?

No. I resisted for a bit but have started using it at work. Mostly because I believe usage is now being monitored. I'm in a very high-scale engineering environment involving both greenfield and massive brownfield codebases and the experience is largely a net loss in productivity. For me and some others who I've spoken to in my org, opting in is a theater that we're required to engage in to keep employment and not a genuine evolution of our craft.

These tools struggle with context once you get deep into a codebase with many, many millions of lines of code and sprawling dependencies. Even for isolated Python scripts or smaller, supporting .NET apps, the time spent correcting subtle bugs or bullshit, or just verifying the bullshit, often exceeds the time it would take to have written it from scratch.

Regardless, what I've observed is that these tools do nothing for the actual bottlenecks of software engineering: requirements gathering (am I writing the right thing?) and verification (does it work without side effects?). Because LLMs are great at generating text, they're actively exacerbating these issues by flooding our process with plausible looking noise.