Consider that.
The llm person having a blast is compelled to push everyone to see what they see. If they have a leadership role at their company, then the getting-left-behind drum does get banged in the form of "ai native company transformation" initiatives.
Now reviewing the 1k lines it generated and making sure its secure, thats going to take me longer than writing it by hand.
For example, in one of the projects I'm working on, I'm using the VSA pattern. I have the list of 50 to 75 features I need to implement and what "categories" they slot into, I have all of the frameworks and libraries picked out, and I have built out "feature templates" with all of the boilerplate setup (I'm reusing these over multiple projects going forward). for each of the features all I need to do is
'ftr new {FEATURE_TYPE} {FEATURE_NAME} {OUTPUT_FOLDER}'
and then plug int the domain specific business logic.
I'll most likely use Claude/Codex/Whatever to write out some of my tests, but the majority of the 'boilerplate' is already done and I'm just sorting out the pieces that matter / can't be automated.
Am I missing something huge with these tools?
Don't get me wrong, for doing reverse engineering they're great helpers and I've made a tonne of progress on projects that had been languishing.
Then I can look at the output and say things like "what if the data is lowercase?" or anything else I suspect they may have missed. A few rounds of these and I have a pretty good feel for the quality of the resulting checks, while taking a few minutes of my attention/tens of minutes of wallclock time to do.
I have a more detailed example here: https://www.stavros.io/posts/how-i-write-software-with-llms/
I'd share all my plans but I once found that the LLM used my actual phone number as test data, so I don't share those any more, just in case.
Then you still need to learn how to use the tools to speed up reviewing the code.
My CEO/CTO :)