If you don’t add comments, even rudimentary ones, or you don’t use a naming convention that accurately describes the variables or the functions, you’re a bad programmer. It doesn’t matter if you know what it does now, just wait until you need to know what it does in 6 months and you have to stop what you’re doing an decipher it.
it doesn’t matter if you don’t know what it does now
If I don’t know what it does now my comment of “I have no idea wtf this does” won’t help me in 6 months.
SPAs are mostly garbage, and the internet has been irreparably damaged by lazy devs chasing trends just to building simple sites with overly complicated fe frameworks.
90% of the internet actually should just be rendered server side with a bit of js for interactivity. JQuery was fine at the time, Javascript is better now and Alpinejs is actually awesome. Nowadays, REST w/HTMX and HATEOAS is the most productive, painless and enjoyable web development can get. Minimal dependencies, tiny file sizes, fast and simple.
Unless your web site needs to work offline (it probably doesn’t), or it has to manage client state for dozen/hundreds of data points (e.g. Google Maps), you don’t need a SPA. If your site only needs to track minimal state, just use a good SSR web framework (Rails, asp.net, Django, whatever).
I’m still hoping for browsers to become some kind of open standard application environments and web apps to become actual apps running on this environment.
How are browser not that already? What’s missing?
They are an open standard and used to make many thousands of apps.
Compiler checked typing is strictly superior to dynamic typing. Any criticism of it is either ignorance, only applicable to older languages or a temporarily missing feature from the current languages.
Using dynamic languages is understandable for a lot of language “external” reasons, just that I really feel like there’s no good argument for it.
It’s much easier to work with streams of untyped data in a weakly typed language.
Not sure if these are hot takes:
- Difficult to test == poorly designed
- Code review is overrated and often poorly executed, most things should be checked automatically (review should still be done though)
- Which programming language doesn’t matter (within reason), while amount of programming languages matters a lot
I’ve been wanting to make my applications easier to test. The issue is, I don’t know what to test. Often my issues are so trivial I notice them immediately.
What are some examples of common things in, let’s say a web server, that could be unit tested?
Refactoring is something that should be constantly done in a code base, for every story. As soon as people get scared about changing things the codebase is on the road to being legacy.
Doesn’t everybody agree with this? I really never thought of it as a hot take.
Today I removed code from a codebase that was added in 2021 and never ever used. Sadly, some people are as content to litter in their repo as they are in the woods.
Agile in it’s current implementation with excessive meetings wastes more time than the mistakes it tries to avoid.
Python is only good for short programs
Python should not be used for production environments, or anything facing the user directly. You are only inviting pain and suffering.
Python is only good for short programs
Was Python designed with enterprise applications in mind?
It sounds like some developers have a Python hammer and they can only envision using that hammer to drive any kind of nail, no matter how poorly.
I mean, it’s still a very nice language. I can see someone, marveled by that, would endeavor to make bigger things with it. I just don’t feel it scales that well.
I agree. The GIL and packaging woes are a good indication that it’s range of applications isn’t as extensive as other tech stacks.
packaging woes
My own hot take is that I hear this criticism of Python a lot, but have never had anyone actually back it up when I ask for more details. And I will be very surprised to hear that it’s a worse situation than Java/TypeScript’s.
We used to have a Python guy at my work. For a lot of LITTLE ETL stuff he created Python projects. In two projects I’ve had to fix up now, he used different tooling. Both those toolings have failed me (Poetry, Conda). I ended up using our CI/CD pipeline code to run my local stuff, because I could not get those things to work.
For comparison, it took me roughly zero seconds to start working on an old Go project.
Python was built in an era where space was expensive and it was only used for small, universal scripts. In that context, having all packages be “system-wide” made sense. All the virtual env shenanigans won’t ever fix that.
In that context, having all packages be “system-wide” made sense. All the virtual env shenanigans won’t ever fix that.
Sorry, but you’ll need to explain this a little bit more to me. That’s precisely what virtual env shenanigans do - make it so that your environment isn’t referencing the system-wide packages. I can totally see that it’s a problem if your virtual env tooling fails to work as expected and you can’t activate your environment (FWIW, simply old
python -m venv venv; source venv/bin/activatehas never let me down in ~10 years of professional programming, but I do believe you when you say that Poetry and Conda have broken on you); but assuming that the tools work, the problem you’ve described completely goes away.
Check out home assistant.
I don’t mean it doesn’t work for larger projects. Just that it’s a pain to understand other’s code when you have almost no type information, making it, to me, a no go for that
Larger projects in Python (like homeassistant) tend to use type-hints and enforce them through linters. Essentially, these linters (with a well-setup IDE) turn programming in large Python projects into a very similar experience to programming a statically typed language, except that Python does not need to be compiled (and type-checked) to run it. So you can still run it before you have satisfied the linters, you just can’t commit or push or whatever (depending on project setup).
And yes, these linters and the Python type system are obviously not as good as something like a Go or Rust compiler. But then again, Python is a generalist language: it can do everything, but excels at nothing.
Go and rust are also generalist languages. Basically all main stream programming languages are and are equally as powerful (in terms of what they can do, rather than performance) as each other as they are all Turing complete. So you can emulate c in python or python in c for instance).
Anything you can do in python you can do in basically any other mainstream language. Python is better at some niches than others just like all other languages are with their own niches - and all can be used generally for anything. Python has a lot of libraries that can make it easier to do a large range of things than a lot of other languages - but really so do quite a few of the popular languages these days.
Programing is a lot less important than people and team dynamics
People can always be replaced, they’re irrelevant.
Sure try to replace the one or two people that hold the whole team together. I’ve seen it a couple times, a good team disintegrates right after one or two key people leave.
Also, if you replace half the team, prepare for some major learning time whenever the next change is being made. Or after the next deployment. 🤷♂️
The code can always be rewritten, it is irrelevant.
And it will change next week anyway. 😁
My take is that no matter which language you are using, and no matter the field you work in, you will always have something to learn.
After 4 years of professional development, I rated my knowledge of C++ at 7/10. After 8 years, I rated it 4/10. After 15 years, I can confidently say 6.5/10.
Hot take: people who don’t like code reviews have never been part of a good code review culture.
Tools that use a GUI are just as good (if not better) than their CLI equivalents in most cases. There’s a certain kind of dev that just gets a superiority complex about using CLI stuff.
The big thing you can do from the command line is script it.
As an embedded firmware guy for 10ish years:
C can die in a fire. It’s “simplicity” hides the emergent complexity by using it as it has nearly no compile time checks for anything and nearly no potential for sensible abstraction. It’s like walking on an infinite tight rope in fog while an earth quake is happening.
For completely different reasons: The same is true for C++ but to a far lesser extent.
Computer hardware has been getting faster and faster for decades at this point, but my computer still slows down. Like WTF. The dumbass programmers take the extra power given to them and squander it instead of optimizing their code. Microsoft word could run pretty well on a windows 98 PC, but the new Word can slow down PCs that are 5-10 years old. Programmers are complete idiots sometimes…
I am not smart enough to effectively code with certain languages and design patterns and that’s ok. There is nothing wrong with accessibility being prioritized or with making tradeoffs for the sake of reducing complexity.
Tabs are better than spaces
Tabs are literally designed for aligned indentation, and they’re configurable for clientside viewing. There is no excuse for spaces. I don’t care if your goddang function arguments line up once they spill out onto another line. You’ve got deeper problems.
Tabs are designed for tabulation (hence the name), not indentation. The side effect is that a tab’s length changes based on its position in a line, which is terrible for programming. If you use tabs in the Python REPL, it looks like this:
>>> def frobnicate_all(arr): >>> for item in arr: >>> frobnicate(item)a tab’s length changes based on its position in a line
What does this even mean? A tab is a tab.
Tab’s don’t have multiple lengths inside a file, they all have the same length.
That’s the point of tabs.
