Why are people seemingly against AI chatbots aiding in writing code?

Lemmy is an outlier where anything "AI" immediately triggers the luddites to scream and rant (and occasionally send threats over PMs...) that it is bad because it is "AI" and so forth. So... massive grain of salt.

Speaking as (for simplicity's sake) a software engineer who wears both a coder and a manager hat?

"AI" is incredibly useful for charlie work. Back in the day you would hire an intern or entry level staff to write your unit tests and documentation and utility functions. But, for well over a decade now, documentation and even many unit tests can be auto-generated by scripts for vim or plugins for an IDE. They aren't necessarily great but... the stuff that Fred in Accounting's son wrote was pretty dogshit too.

What LLMs+RAG do is step that up a few notches. You still aren't going to have them write the critical path code. But you can farm off a LOT more charlie work to the point where you just need to do the equivalent of review an MR that came from a plugin rather than a kid who thinks we don't know he reeks of weed.

And... that is good and bad. Good in that it means smaller companies/teams are capable of much bigger projects. And bad because it means a lot fewer entry level jobs to teach people how to code.

So that is the manager/mentor perspective. Let's dig a bit deeper on your example:

I dont like Bash because of its, dare I say weird syntax but it made the most sense for my purpose so I chose it. Also I have not written anything of this complexity before in Bash, just a bunch of commands in multiple seperate lines so that I dont have to type those one after another. But this one required many rather advanced features. I was not motivated to learn Bash, I just wanted to put my idea into action.

I did start with internet search. But guides I found were lacking. I could not find how to pass values into the function and return from a function easily, or removing trailing slash from directory path or how to loop over array or how to catch errors that occured in previous command or how to seperate letter and number from a string, etc.

Honestly? That sounds to me like foundational issues. You already articulated what you need but you wanted to find an all in one guide rather than googing "bash function input example" or "bash function return example" or "strip trailing strash from directory path linux" and so forth. Also, I am pretty sure I very regularly find a guide that covers every one of those questions except for string processing every time I forget the syntax to a for loop in bash and need to google it.

And THAT is the problem with relying on these tools. I know plenty of people who fundamentally can't write documentation because their IDE has always generated (completely worthless) doxygen for them. And it sounds like you don't know how to self-educate on how to solve a problem.

Which is why, generally speaking:

I still prefer to offload the charlie work to newbies because it helps them learn (and it lets me justify their paycheck). And usually what I do is tell them I want to "walk you through our SDLC. it is kind of annoying" to watch over their shoulder and make sure they CAN do this by hand. Then... whatever. I don't care if they pass everything through whatever our IT/Cybersecurity departments deem legit.

Which... personally? I generally still prefer "dumb" scripts to generate the boilerplate for myself. And when I do ask chatgpt or a "local" setup: I ask general questions. I don't paste our codebase in. I say "Hey chatgpt, give me an example of setting the number of replicas of a pod based upon specific metrics collected with prometheus". And I adapt that. Partially to make sure I understand what we are adding to our codebase and mostly because I still don't trust those companies with my codebase and prompts. Which... is probably going to mean moving away from VSCode within the next year (yay Copilot) but... yeah.