this post was submitted on 17 Sep 2024
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can anyone explain to a hobby programmer?
the term normally refers to a developer that can be productive in every layer required for a typical application to work.
They can do the front end design/styling/implementation and are familiar with front end languages and frameworks
They can do the backend API design and are familiar with the typical backend languages and patterns.
They can do the database table design, write and optimize queries.
They can handle the ci/cd scripting that handles building and deploying the application
They can design and write the automation tests and are familiar with the libraries used for that.
And a bunch of other crap like load testing or familiarity with cloud services.
The latest thing added to the list is AI model creation which is a nightmare.. but, I can't say no π€·ββοΈ
Also, in practice, they're usually only good at one or two of the things on the list (at best) and hack their way through the rest. As much as people make fun of overspecialization, it happens in every field for a reason.
In reality lots of developers are not even good at what they claim to specialize in.
Youβve seen me write SQL havenβt you.
Writing sql is just like writing anything else, but uppercase.
I have seen SQL written by professional Oracle DBAs. What I learned is that I do not want to look at SQL written by professional Oracle DBAs.
Eh, not sure if this is true at all. I think the reality is that niche specialized roles are valuable (frontend expert) but you are not "hacking" your way in full stack unless you are a junior or just bad at development.
I don't consider myself to be hacking anything I do, even things I'm not as strong in (ci cd) I pay full attention to documentation and examples before blinding coding or writing ci scripts
Start saying no. If you don't know how, start learning. It's hurting everyone up and down the industry.
I am almost purely focussed on creating DNNs ("deep neural networks" for the unaware) and it's almost always a nightmare work-wise, even without all the rest of the other crap.
That's funny, I'm working with AI models for my thesis. Good to know that professional programmers struggle with it too.