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The university system is fucked.
I've been working in this industry for a few years now, but have been self taught for much longer. I'm only just starting college and I'm already angry.
What does a college degree really mean anymore? From some of the posts I've seen on devRant, it certainly doesn't ensure professional conduct, work ethic, or quality (shout out to the brave souls who deal with the lack of these daily). Companies should hire based on talent, not on a degree. Universities should focus more on real world applications or at least offer such programs for students interested in entering the workforce rather than research positions. A sizable chunk of universities' income (in the U.S. at least) comes from research and corporate sponsorships, and educating students is secondary to that. Nowadays education is treated as a business instead of a tool to create value in the world. That's what I signed up for, anyway - gaining the knowledge to create value in the world. And yet I along with many others feel so restricted, so bogged down with requirements, fees, shitty professors, and shitty university resources. There is so much knowledge out there that can be put to instant practical use - I am constantly shocked at the things left out of my college curriculum (lack of automated tests, version control, inadequate or inaccurate coverage of design patterns and philosophies) - things that are ABSOLUTELY essential to be successful in this career path.
It's wonderful that we eventually find the resources we need, or the motivation to develop essential skills, but it's sad that so many students in university lack proper direction through no fault of their own.
Fuck you, universities, for being so inflexible and consistently failing to serve your basic purpose - one of if not the most important purpose on this earth.
Fuck you, corporations, for hiring and paying based on degree. Fuck you, management, for being so ignorant about the industry you work in.
Fuck you, clients, who treat intelligent people like dirt, make unreasonable demands, pull some really shady shit, and perpetuate a damaging stereotype.
And fuck you to the developer who wrote my company's antipattern-filled, stringy-as-all hell codebase without comments. Just. Fuck you.17 -
First Rant here.
So I was working on some integration test issues when I found this by accident made by a professional level SW engineer:
@Test
public void testMethod() throws ApiException {
Response res = null;
try {
res = serviceToTest.callMethod();
} catch(Exception e) {
assertNull(res);
}
}
Was wondering why tests were being green after some code changes I've made cuz tests could have not been green afterwards.
Together with a senior (I'm also professional only) I've tried to explain him for a good 1-2hrs why this code is useless and he still did it. Good thing there are no errors in the real implementation from him after fixing the tests as it's code freeze here and we are having go live in a few days 🙃
Also luckily he isn't working on our code anymore and has only been doing so for a few weeks.
Wasted a day with it and gonna check all of his code now before I run in the next surprise.1 -
My matryoshka keeping me company, because of course when you are alone testing a last hour deployment. shit will happen
5 -
Overengineering. Finding the right point between overdesign and no design at all. That's where fancy languages and unusual patterns being hit by real world problems, and you need to deal with all that utter mess you created being architecture astronaut. Isn't that funny how you realize that another fancy tool is fundamentally incompatible with the task you need to solve, and you realize it after a month of writing workarounds and hacks.
But on the other hand, duct tape slacking becomes a mess even quicker.
Not being able to promote projects. You may code the shit out of side project and still get zero response, absolutely no impact. That's why your side projects often becomes abandoned.
Oversleeping. You thought tomorrow was productive day, but you wake up oversleeped, your head aches, your mind is not clear and you be like "fuck that, I'm staying in bed watching memes all day". But there's job that has to be done, and that bothers you.
Writing tests. Oh, words can't describe how much I hate writing tests, any kind of. I tried testing so many times in high school, at university, even at production, but it seems like my mind is just doesn't accept it. I know that testing is fundamentally important, but my mind collapses every time I try to write a single fucking test, resulting in terrible headache. I don't know why it's like that, but it is, and I better repl the shit out of pure function than write fucking tests. -
Not writing tests for your code is like leaving it unguided in the hands of future Devs who gonna just change something and break the core logic and there won't be any regression test to run and check the integrity.
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17 -
Not a rant, but seeking advice...
Should I abandon 2 years' worth of work on migrating a personal project from SQL (M$) to a Graph database, and just stick to SQL? And only consider migrating when/if I need graph capabilities?
The project is a small social media platform. Has around ~50 monthly active users.
Why I started the migration in the first place:
• When researching databases, I read that for social media, graph is more suitable. It was, at least in terms of query structure. It was more natural, there were no "joins", and queries were much simpler than their SQL counterparts.
• In case the project got big, I didn't want to have to panic-deal with database issues that come with growth. I had some indexing issues with MSSQL, and it got me worried that at 50MAU I'm having these issues, what would happen if I get more?
• It's a personal project, and the Gremlin language and graph databases looked cool and I was motivated to learn something new.
----
Why I'm considering aborting the migration:
• It's taking too damn long. I'm unable to work on other features because this migration is taking up all my free time. Sunk cost fallacy is hitting me hard with this one.
• In local testing within docker, it's extremely slow. I tried various graph engines (janusgraph, official tinkerpop, orientdb), and the fastest one takes 4-6minutes to complete my server tests. SQL finishes the same tests in under 2 minutes, same docker environment. I also tried running my tests on a remote server (AWS neptune) and it was just as slow. Maybe my queries are bad, but can I afford to spend even more time fine tuning all queries?
• I now realise that "graph = no scalability issues" was naïve of me, and 100% wishful thinking. Scalability issues don't care what database I use, but about how well tuned and configured the whole system is.
• I really want to move on. My tech stack is falling behind and becoming outdated. I'm unable to maintain dependencies.
• I'm worried about losing those 50 MAU because they're essential to gaining traction once I release the platform. I keep telling them about the migration but at some point (2 years later) they're going to get bored I feel.
I guess partially it's a rant because I feel like I shouldn't stop now having spent 2 years on this, but at the same time I feel like I'm heading towards a dead end.
If you made it this far, thank you for reading:)10 -
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