"So Alecx, how did you solve the issues with the data provided to you by hr for <X> application?"

Said the VP of my institution in charge of my department.

"It was complex sir, I could not figure out much of the general ideas of the data schema since it came from a bunch of people not trained in I.T (HR) and as such I had to do some experiments in the data to find the relationships with the data, this brought about 4 different relations in the data, the program determined them for me based on the most common type of data, the model deemed it a "user", from that I just extracted the information that I needed, and generated the tables through Golang's gorm"

VP nodding and listening intently...."how did you make those relationships?" me "I started a simple pattern recognition module through supervised mach..." VP: Machine learning, that sounds like A.I

Me: "Yes sir, it was, but the problem was fairly easy for the schema to determ.." VP: A.I, at our institution, back in my day it was a dream to have such technology, you are the director of web tech, what is it to you to know of this?"

Me: "I just like to experiment with new stuff, it was the easiest rout to determine these things, I just felt that i should use it if I can"

VP: "This is amazing, I'll go by your office later"

Dude speaks wonders of me. The idea was simple, read through the CSV that was provided to me, have the parsing done in a notebook, make it determine the relationships in the data and spout out a bunch of JSON that I could use. Hook it up to a simple gorm golang script and generate the tables for that. Much simpler than the bullshit that we have in php. I used this to create a new database since the previous application had issues. The app will still have a php frontend and backend, but now I don't leave the parsing of the data to php, which quite frankly, php sucks for imho. The Python codebase will then create the json files through the predictive modeling (98% accuaracy) and then the go program will populate the db for me.

There are also some node scripts that help test the data since the data is json.

All in all a good day of work. The VP seems scared since he knows no one on this side of town knows about this kind of tech. Me? I am just happy I get to experiment. Y'all should have seen his face when I showed him a rather large app written in Clojure, the man just went 0.0 when he saw Lisp code.

I think I scare him.

Course title: Advanced Database Management

Course Objectives:
-Create a database with SQL.
-Describe data normalization of database information.
-Describe distributed database management system.
-Design databases based on Entity Relationship modeling.
-Discuss connecting to databases with server-side scripts.
-Discuss database administration and security.
-Discuss database systems

Like. Come. On.

4 years ago I made a personal goal/plan to be a full stack developer. Meaning a good understanding of any development between os level code and web/front end user experience.

Over the years this term 'full stack' has been abused greatly and now basically means 'a javascript developer that generally knows what they are talking about'.

So now, devRant collective I ask you. What do you call a developer with good skills in:

- os level code (c, c++ and os apis)
- database level tech (advanced querying and db aglo/modeling)
- software architecture
- application level (workflow and business logic)
- transport level (protocol design and usage)
- front end tech (graphics programming and event driven paradigm)
- user experience

My biggest problem with Visual Studio Code is that every fucking piece of shit dev thinks it's their duty to introduce it to me. STOP. Just stop this shit, alright? Wanna use vscode? Fine, just don't tell me it's the best tool and I MUST use it instead of the tools I'm used to. I'm tired of this bullshit.
Every new project, every new team. Starting from js/java/.net monke and ending with PMs, I must hear this bullshit about god blessed IDE that I must use, because "why you need intellij/webstorm/rider? just install vscode and some plugins. we all use it in our project and it's ok".
FUCK YOU! Refactoring is not just renaming variables and extracting blocks of code into functions. If you want terminal integrated into your text editor with highlighting and LSP support, so be it. I want an IDE with rich refactoring tools, code analysis and good completion, database viewing/modeling support, good build tools support, good UI for git and git-diff, good test and code coverage support. I don't want your semi-IDE, bloated with hundreds of bugged third-party plugins, which I must spend a week on to configure and merry with each other before using.
JUST STOP this crap and let people use the tools they are proficient/comfortable/productive with.

At the product backlog refinement the product owner told us (the devs) how the database model must be designed! He said he knows it best, because he knows all the requirements. 🙈

Another gem from my Database Fundamentals class, this time it's from the textbook:

So right now we're learning about data modeling with ERDs and the book is explaining a few things about attributes. I got to a part where the book was explaining when you should split an attribute into many (the book mixes up conceptual modelling and logical modelling). The first example the book gave was an address, splitting it up by street name, address number, city, postal code, etc. So far so good. Now we get to the second example: a phone number. The book split the the number 55 11 9784-8900 into four parts:

Country code: 55
Area code: 11
Number prefix: 9784
Number suffix: 8900

At this point I was like "WHAT?". Separating area and country codes from the rest of the number is ok, that's useful, but splitting the number itself in half? Why the fuck would you want to do that? Correct me if I'm wrong but the dash in the middle of the number is just used for "chunking", to make it easier for our brains to read the number. Why would you want to split the number in half? There's literally no reason to do it, at least not in the example the book was showing.

Every time I open this book I keep wondering why the hell my teacher chose it to be our textbook. He's a great teacher, his lectures are awesome, he explains stuff super well, but he chose this book. A book that's filled with shitty literal translations to domain-specific words and acronyms, shitty examples, and convoluted sentences.