Nobody really cares about code being good or bad, it's not prose.
What matters is it meets functional and non functional requirements.
One of my juniors wrote his first app two years ago fully with chatgpt, could figure out by iteratively asking it how to improve it and solve the bugs.
Then he learned to code properly fascinated by the experience. But the fact remains, he shipped an application that did something for someone while many never did even though they had a degree and a black belt in pointless leet code quizzes.
I'm fully convinced that very soon big tech or a startup will come up with a programming language meant to sit at the intersection between humans and LLMs, and it will be quickly better, faster and cheaper at 90% of the mundane programming tasks than your 200k/year dev writing forms, tables and apis in SF.
> Nobody really cares about code being good or bad, it's not prose.
Yes, we do. Good code (which, by my definition, includes style/formatting choices as well as the code’s functionality, completeness, correctness, and, finally, optimized or performant algorithms/logic) is critical for the long-term maintenance of large projects—especially when a given project needs integration with/to other projects.
I mean, I care that code is good. I'm paid to make sure my code and other people's code is good. That's enough for me to have a requirement to my tools to help me produce good code.
> What matters is it meets functional and non functional requirements.
Good luck expressing novel requirements in complex operating environments in plain English.
> Then he learned to code properly fascinated by the experience. But the fact remains, he shipped an application that did something for someone while many never did even though they had a degree and a black belt in pointless leet code quizzes.
It's good in the sense that it raises the floor, but it doesn't really make a meaningful impact on the things that are actually challenging in software engineering.
> Then he learned to code properly fascinated by the experience. But the fact remains, he shipped an application that did something for someone while many never did even though they had a degree and a black belt in pointless leet code quizzes.
This is cool!
> I'm fully convinced that very soon big tech or a startup will come up with a programming language meant to sit at the intersection between humans and LLMs, and it will be quickly better, faster and cheaper at 90% of the mundane programming tasks than your 200k/year dev writing forms, tables and apis in SF.
I am sure there will be attempts, but if you know anything about how these systems work you would know why there's 0% chance it will work out: programming languages are necessarily not fuzzy, they express precise logic and GPTs necessarily require tons of data points to train on to produce useful output. There's a reason they do noticeably better on Python vs less common languages like, I dunno, Clojure.
What matters is it meets functional and non functional requirements.
One of my juniors wrote his first app two years ago fully with chatgpt, could figure out by iteratively asking it how to improve it and solve the bugs.
Then he learned to code properly fascinated by the experience. But the fact remains, he shipped an application that did something for someone while many never did even though they had a degree and a black belt in pointless leet code quizzes.
I'm fully convinced that very soon big tech or a startup will come up with a programming language meant to sit at the intersection between humans and LLMs, and it will be quickly better, faster and cheaper at 90% of the mundane programming tasks than your 200k/year dev writing forms, tables and apis in SF.