FizzBuzzEnterpris
runtimelab
FizzBuzzEnterpris | runtimelab | |
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17 | 53 | |
- | 1,335 | |
- | 0.9% | |
- | 4.6 | |
- | 3 days ago | |
- | MIT License |
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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
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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.
runtimelab
- Green Thread Experiment in .NET
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Is .NET just miles ahead or am I delusional?
There was a "green thread" experiment for dotnet a while ago, here is the conclusion: https://github.com/dotnet/runtimelab/issues/2398
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Why choose async/await over threads?
Experiment result write-up: https://github.com/dotnet/runtimelab/blob/e69dda51c7d796b812...
TLDR: The green threads experiment was a failure as it found (expected and obvious) issues that the Java applications are now getting to enjoy, joining their Go colleagues, while also requiring breaking changes. It, however, gave inspiration to subsequent re-examination of current async/await implementation and whether it can be improved by moving state machine generation and execution away from IL completely to runtime. It was a massive success as evidenced by preliminary overhead estimations in the results.
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Garnet – A new remote cache-store from Microsoft Research
Yeah, it kind of is. There are quite a few of experiments that are conducted to see if they show promise in the prototype form and then are taken further for proper integration if they do.
Unfortunately, object stack allocation was not one of them even though DOTNET_JitObjectStackAllocation configuration knob exists today, enabling it makes zero impact as it almost never kicks in. By the end of the experiment[0], it was concluded that before investing effort in this kind of feature becomes profitable given how a lot of C# code is written, there are many other lower hanging fruits.
To contrast this, in continuation to green threads experiment, a runtime handled tasks experiment[1] which moves async state machine handling from IL emitted by Roslyn to special-cased methods and then handling purely in runtime code has been a massive success and is now being worked on to be integrated in one of the future version of .NET (hopefully 10?)
[0] https://github.com/dotnet/runtime/issues/11192
[1] https://github.com/dotnet/runtimelab/blob/feature/async2-exp...
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Java virtual threads hit with pinning issue
Unlike these folks from dotnet, which tested directly on ASP for real workload
https://github.com/dotnet/runtimelab/issues/2398?darkschemeovr=1
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Ask HN: Do we have evidence that green threading is faster than OS threads?
[1] https://github.com/dotnet/runtimelab/issues/2398
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JEP Draft – Derived Record Creation (Preview) – Java
The only way to avoid it is to not build on top of Java or not adding any features on top of Java.
> To give another example with C#, there has been a lot of recent discussion about finding potential alternatives to their async-await concurrency model. They cite the level of effort it takes to maintain the async await style code and the costs that come from this.
I had a very different take-away. They did PoC with virtual threads and decided it's not worth the switch now and async-await that they have is good enough.
https://github.com/dotnet/runtimelab/issues/2398
> Some of the languages it gets compared too aren't even that old yet.
C# is old enough to drink and Scala just had its 20th birthday this week :)
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.NET 8 – .NET Blog
It was tried and the dotnet team decided to drop it: https://github.com/dotnet/runtimelab/issues/2398
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.NET Green Thread Experiment Results
Technical details here: https://github.com/dotnet/runtimelab/blob/feature/green-thre...
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Thread-per-Core
Just last month .NET ended a green threading experiment, mainly because the overhead it adds to FFI was too high:
https://github.com/dotnet/runtimelab/issues/2398
Rust had green threads until late 2014, and they were removed because of their impact on performance.
Everyone has done the basic research: green threading is a convenient abstraction that comes with certain performance trade offs. It doesn't work for the kind of profile that Rust is trying to target.
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.
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holochain - The current, performant & industrial strength version of Holochain on Rust.
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proposals - ✍️ Tracking the status of Babel's implementation of TC39 proposals (may be out of date)
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
fibers - Concurrent ML-like concurrency for Guile
csharplang - The official repo for the design of the C# programming language
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Cocona - Micro-framework for .NET console application. Cocona makes it easy and fast to build console applications on .NET.