FizzBuzzEnterpris
latte
FizzBuzzEnterpris | latte | |
---|---|---|
17 | 4 | |
- | 169 | |
- | - | |
- | 4.1 | |
- | about 1 month ago | |
Rust | ||
- | Apache License 2.0 |
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FizzBuzzEnterpris
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Java 21 makes me like Java again
> I'll answer your question with a question: Have you seen https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... ? :)
You can write that kind of crap in any language, including C++.
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No One Wants Simplicity
There’s a difference between complexity that’s inherent to the problem, and complexity that’s added by developers who have drunk architectural cool aid.
This is an example where all of the complexity is caused by rigid adherence to the most popular architectural patterns of about 10 years ago.
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
It looks completely ridiculous to modern eyes, but during peak OOP it was just how you should do it.
If you like simplicity then your fizz buzz implementation would be a few lines.
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Virtual Threads Arrive in JDK 21, Ushering a New Era of Concurrency
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... isn't too far removed from some of what I've seen in big tech, especially architecture-wise. Certainly less costly absurdity.
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Subverting the Software Interview
What you need is Fizzbuzz, Enterprise Edition
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
- Every day, I commit a new and more complicated version of some simple code
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Ask HN: Why do you make class members private?
It's been a decade since I used C# but the corporate design pattern culture of that language back then turned me off of it forever.
Everything looked like this: https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
Maybe it's better now but the Java/C# practice of shoveling largely empty classes around with an IDE isn't something I'd point to as a good example.
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Why DRY is the most over-rated programming principle
```
With your example I had to think for about 1-2 min before it made sense. If the codebase is full of clever stuff then I have to spend hours understanding all of the clever things before I can make changes. If everything is simple then it's easy to change.
If you want to see where overengineering leads you then take a look at this project. https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
It is satire but I have absolutely worked in places that write code like that.
Good programmers know that it's 10x times harder to read code than write it, so they deliberately keep it simple so that they can read it later.
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Why programmers are not paid in proportion to their productivity
I did something similar a 4 or so years back. I wrote something in a month (+ a couple of working with stakeholders to make sure it did what it should). I did it in a legacy tech stack that the architects didn't like, on the side of the main activity, as the deadline was coming close and some hireing processes were slow.
A team of around devs 5 (some coming and going) having been trying to solve the same problem since, but they're still not being close to finished.
In other words, the productivity is in the order 50x to 100x slower than when I did it. Rather, the main reason was that I knew how to write code like that, while they were set up to fail.
Basically, some architect was making all sorts of unnecessary demands for how to wite the code, and the programers were not familiar with much of the tech stack that was introduced.
Also, coding standards were really verbose, easily 10x-30x what I wrote, in lines of code. The current state of what they have look suspiciously like FizzBuzzEnterpriseEdition:
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
TLDR; Incompetent tech leadership prone to cargo-culting, can slow down productivity to virtually zero. In some cases, productivity can go up by ~100x if ignoring their demands.
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The use of `class` for things that should be simple free functions (2020)
I swear I've worked with people who if they were shown FizzBuzzEnterpriseEdition wouldn't be able to see the joke as that's how they naturally write all code.
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
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The mindless tyranny of “what if it changes?” as a software design principle
Reminds me of FizzBuzzEnterpriseEdition . https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
You never know when you might need to change the implementation of how the "Fuzz" string is returned, so you need a FuzzStringReturner.
And you never know when you might need multiple different ways of returning "Fuzz", so you need a FuzzStringReturnerFactory.
And that barely scratches the surface of what you need.
latte
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Fast memory vulnerabilities, written in 100% safe Rust
This tool is probably the fastest in its class - does this code look like having a lot of lifetimes or other cryptic syntax?
- https://github.com/pkolaczk/latte/blob/main/src/main.rs
- https://github.com/pkolaczk/latte/blob/main/src/exec.rs
There was one fundamental "aha" moment for me when it clicked: move semantics.
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The mindless tyranny of “what if it changes?” as a software design principle
> Does https://github.com/pkolaczk/latte count?
This is just Rust code. Where is the equivalent Java code?
> Or the Optional cost described on my blog here: https://pkolaczk.github.io/overhead-of-optional/?
Why aren't you using OptionalLong[1]? You shouldn't use Optional, that's never a good choice. At any rate, nobody should be claiming Java optionals are are free, they're a high level abstraction and absolutely do not belong in hot codepaths.
In general it's fairly easy to construct benchmarks that favor any particular language, which is why you constantly see these blog posts about how high level interpreted languages (JS, Haskell) are faster than C++.
> And what do I do with that knowledge if it turns out the optimization didn't happen?
The way the JIT works is by aggressively overassuming, and then recompiling with more generalized interpretations of the code when assumptions turn out to be false. But the wider problems of compilers occasionally generating suboptimal instructions isn't something that is Java specific.
[1] https://docs.oracle.com/en/java/javase/12/docs/api/java.base...
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Async Rust in Practice: Performance, Pitfalls, Profiling
A few weeks ago, an interesting issue appeared on our GitHub tracker. It was reported that, despite our care in designing the driver to be efficient, it proved to be unpleasantly slower than one of the competing drivers, cassandra-cpp, which is a Rust wrapper of a C++ CQL driver. The author of latte, a latency tester for Cassandra (and Scylla), pointed out that switching the back-end from cassandra-cpp to scylla-rust-driver resulted in an unacceptable performance regression. Time to investigate!
What are some alternatives?
FizzBuzz Enterprise Edition - FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
ScyllaDB Async Rust Driver - Async CQL driver for Rust, optimized for ScyllaDB
holochain - The current, performant & industrial strength version of Holochain on Rust.
lwjgl3ify - A mod to run Minecraft 1.7.10 using LWJGL3 and Java 17, 19, 20
cve-rs - Blazingly 🔥 fast 🚀 memory vulnerabilities, written in 100% safe Rust. 🦀
proposals - ✍️ Tracking the status of Babel's implementation of TC39 proposals (may be out of date)
fibers - Concurrent ML-like concurrency for Guile
music-explorer - A music scraper, navigator, archiver, and cataloger for people looking for new sounds.
manifold - Manifold is a Java compiler plugin, its features include Metaprogramming, Properties, Extension Methods, Operator Overloading, Templates, a Preprocessor, and more.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
AspNetCoreDiagnosticScenarios - This repository has examples of broken patterns in ASP.NET Core applications