> You may not write the code by hand but you understand it enough to investigate and fix it when it fails. It is how I think we should leverage AI instead of becoming a meat proxy.
[0]: https://raahelbaig.com/entry/responsible-human-in-the-loop/
Its like saying you can keep fluent level of French as a foreign language to you by just reading it. Nope you won't - do it for 2 years solidly and you will have problems forming basic sentences correctly if you don't use language actively, forming foreign language constructs in your mind.
Those few of us who are largely apart from current llm craze (due to my mega corporation and its obscure rules and procedures) are not missing much I see. I still happily code changes by hand and at most consult basic available llms via prompt, its beautiful process to create fix to a problem which seems cryptic at the beginning, and knowing it all came just from my mind. By far the best part of my corporate job, will keep hanging to it for as long as possible.
Not only that, but even if we assume best effort on the engineer, the business pressures don't often allow that. I'm under constant pressure to deliver more, faster with less people. The performance eval ladder at my company was just reworked to double the amount of deliverable features expected per job level per year. Our CEO told us we should be able to deliver what took us the past decade to deliver in a quarter, every quarter going forward.
How could you possibly have a human anywhere near that loop with those demands?