Why is that weirder? The people writing scientific software are, by and large, less good at writing software than people who only specialize in software development. I’d expect there to tons of terrible engineering practices in an old code base like that
Because even trivial things like Fourier transforms (to people like me) are very difficult to understand to those that don’t know them. They took me years to understand. Non scientific software engineers do not understand those. It’s just a different course of education.
You’re also right about old code base as well. Algorithms like these belong in c++ (or C or fortran), and it’s extremely difficult to explain why to people who have no understanding of numerical computing.
in real life, I’m fighting with - I’m not joking - a few dozen “quick patches”. code does not reflect in any point functional requirements, and dude is adamant he’s in the right and supersarcastic in any occasion.
If you’re smart you do it the quick and easy way and leave the company before it bites you in the ass. Only suckers stay with the same company for more than a few years
Most people suck at software engineering.
Plus, there’s always the temptation to do it the shitty way and “fix it later” (which never happens).
You pay your technical debt. One way or another.
It’s way worse than any gangster.
Not if you leave the project soon enough. It’s like tech debt chicken.
Then, at your new job, you see garbage code and wonder what dumbass would put global variables everywhere
That’s how this industry works ;)
You’re gonna see that even if you were pious at your own job. So you’re only wasting time.
amen
double amen
// TODO: Fix later
In a 10 year old commit from someone who’s left the company 5 years ago.
Bruh. I fixed software from the 90’s.
Scientific software too. Which is way weirder.
😀
Why is that weirder? The people writing scientific software are, by and large, less good at writing software than people who only specialize in software development. I’d expect there to tons of terrible engineering practices in an old code base like that
good question.
Because even trivial things like Fourier transforms (to people like me) are very difficult to understand to those that don’t know them. They took me years to understand. Non scientific software engineers do not understand those. It’s just a different course of education.
You’re also right about old code base as well. Algorithms like these belong in c++ (or C or fortran), and it’s extremely difficult to explain why to people who have no understanding of numerical computing.
It’s just different education.
Later is the name of the intern my company hired when I resigned :)
I wish I was so lucky to have comments.
in real life, I’m fighting with - I’m not joking - a few dozen “quick patches”. code does not reflect in any point functional requirements, and dude is adamant he’s in the right and supersarcastic in any occasion.
I’ve been working at my current company for almost a year.
I had no idea it could be this bad.
I actually had to fight/plead with someone to “please read the code”. Guy did get fired though.
If you’re smart you do it the quick and easy way and leave the company before it bites you in the ass. Only suckers stay with the same company for more than a few years
and thats why we are reading a book about clean code at my apprenticeship