I’m dealing with a new service written by someone who extensively cut and pasted from ChatGPT, got it to “almost done – just needs all the operational excellence type stuff to put it into production”, and left the project.
Honestly we should have just scrapped it and rewritten it. It’s barely coherent and filled with basic bugs that have wasted so much time.
I feel maybe this style of sloppy coding workflow is better suited to front end coding or a simple CRUD API for saving state, where you can immediately see if something works as intended, than backend services that have to handle common sense business logic like “don’t explode if there is no inventory” and etc.
For this dev, I think he was new to the language and got in a tight feedback loop of hacking together stuff with ChatGPT without trying to really understand each line of code. I think he didn’t learn as much as if he would have applied himself to reading library and language documentation, and so is still a weak dev. Even though we gave him an opportunity to grow with a small green field service and several months to write it.
It’s fine for the usual straightforward and easy problems – problems that common developer tools and paradigms have solved. Like a product that reduces to CRUD with a few boolean expressions, joins, and simple algebra mixed in. But I think it’s inefficient maybe even unworkable for harder problems. And hard can be scale, like moving up two orders of magnitude in throughput or entities, or down in latency. Or hard can be algorithmic stuff.
I highly agree with what others have said here, that a culture of “fungible engineers” can alienate those who want to go deep. Some folks enjoy being subject matter experts or are drawn to a craftsmanship aesthetic. And, IMHO, a healthy org culture should work for all kinds of people – specialists and generalists. I think you should aim for and encourage people to grow to be T shaped rather than fungible cogs.