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It's time to stop using slow programming languages. I don't think you understand the magnitude of this situation. Let me explain.

122,703 просмотров • 25 дней назад •via X (Twitter)

Комментарии: 34

Фото профиля DeedleFake
DeedleFake25 дней назад

Not quite.

Фото профиля Kartik
Kartik25 дней назад

i will still use Go

Фото профиля Kevin Möchel
Kevin Möchel25 дней назад

That's the most made up comparison I've ever seen

Фото профиля zoidz00
zoidz0025 дней назад

Can you do assembly vs C vs Rust vs Zig vs Odin

Фото профиля Allan MacGregor
Allan MacGregor25 дней назад

Please don't use DHH benchmarks as evidence of anything they are incredibly flawed

Фото профиля Nyasha Dennis
Nyasha Dennis25 дней назад

There's no way Rust is that much faster than Go.

Фото профиля Shoyeb Ansari
Shoyeb Ansari25 дней назад

Most of the real application barely compete for the CPU. They are hungry for the database, so bottleneck isn't how fast language is but it depends on external network I/O.

Фото профиля Amit Ghadge
Amit Ghadge25 дней назад

not impressed, each programming language made for different purpose.

Фото профиля Lewis Campbell
Lewis Campbell25 дней назад

You've got big balls and I cannot lie Your other coders can't deny That when a benchmark shows Balls go'n to and fro you get sprung

Фото профиля Ivan Mrvelj
Ivan Mrvelj25 дней назад

what are we watching here? an animation of a bad benchmark?

Фото профиля Jey Hey
Jey Hey25 дней назад

I think it is rather time to stop posting biased results. Here is the benchmark if you allow Elixir to have equally many commits as Rust:

Фото профиля ce.gie
ce.gie25 дней назад

Ok, now add database read to every request, read that cannot be cached and some time consuming algorythm - maybe llm or system one model, to simulate real data processing

Фото профиля Stateless
Stateless25 дней назад

Go all the way

Фото профиля adam smielewski
adam smielewski25 дней назад

the ball man strikes again

Фото профиля C.NASIR
C.NASIR25 дней назад

Now the question is, are you reading the code Ben?

Фото профиля Diiv
Diiv25 дней назад

This oversimplification is common but it’s important to know “context” aka what type of “workload” is being done. For CPU or GPU intensive tasks or embedded real-time tasks, a manual memory management language like C, C++, or Rust works best as your graphic implies. So that extra complexity is worth it since each little performance difference matters a lot and adds up. BUT for Web Servers/Applications where disk and/or network IO is the primary bottleneck and network IO latency is Orders of magnitude more than memory or CPU/GPU compute related latencies, the graphic above is misleading. Using an automatic memory management language like Java, Go, or C# you can have developer productivity and better code readability at the cost of latencies during GC pauses or other things like interpretation in the case of Java (JIT helps with this though). But since the network latency is the main slowness all services encounter, the slower performance compared to C/C++/Rust is almost negligible. Of course with AI I guess everyone will say those readability and simplicity differences don’t matter so just use Rust which is also valid I suppose as long as you know what the code does.

Фото профиля Neva Deez
Neva Deez25 дней назад

Its time to stop feeding egos of clueless guys. Dont give them any stage.

Фото профиля rajat
rajat25 дней назад

Yes and a lot depends on the libraries also

Фото профиля neuroquark
neuroquark25 дней назад

balls have dropped

Фото профиля Pablo Machón
Pablo Machón25 дней назад

There are some other fast languages missing, don't you think? And they happen to be the most used ones. Nah, just saying...

Фото профиля Adam Okoń
Adam Okoń25 дней назад

If you want to compare languages, not framework, then the results are quite different

Фото профиля Tudor Andrei
Tudor Andrei25 дней назад

Thank you, this was the last thing that was missing from this Vibe benchmark discussion. Hopefully people will move on and start building useful products instead of vibe optimizing everything.

Фото профиля jam
jam25 дней назад

ill remember that whenever i need to make 30000 requests per second.

Фото профиля Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️
Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️25 дней назад

Rust is a NSA Language.😂

Фото профиля Marce Coll
Marce Coll25 дней назад

God the amount of parroting clueless people in this site

Фото профиля cafkafk
cafkafk25 дней назад

no gatekeep this let them eat ruby

Фото профиля Yi Meng
Yi Meng25 дней назад

the only guy to consistently take his balls out to explain

Фото профиля Deeev
Deeev25 дней назад

It’s time to stop glorifying overengineering for the sake of nanoseconds when 98% of the market actually needs faster development, maintainability, and reasonable costs.

Фото профиля Jye
Jye25 дней назад

What did Go do to deserve these balls

Фото профиля 𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】
𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】25 дней назад

Its not only about performance, its also about power usage. The question is how I/O bound these specific benchmarks are? If you fetch things over network (not just local) then the time it takes to fetch things makes the CPU time spent just a fraction regardless of language. However given that an AI is the one building the code just pick the most efficient and type safe language which in this world is Rust. Language ergonomics is no longer an issue.

Фото профиля Wade Mealing
Wade Mealing25 дней назад

I think your elixir is wrong. My erlang on a 5 year old shithouse machine does more than that.

Фото профиля Zak
Zak25 дней назад

who cares about slow software who cares about few bugs here and there who cares if you don't understand your vibe code Idk where we're going with this shit?

Фото профиля Alessio Piergiacomi
Alessio Piergiacomi25 дней назад

I don’t think you’ve read the true backstory of how that benchmark creation was a joke.

Фото профиля Ayaz
Ayaz25 дней назад

Why aren’t you thinking more aggressively about the chain of causality? For example, instead of just accepting Rust as it is, why not ask how we can make it unconditionally fast and as secure as possible, and how we can catch and solve potential problems during compilation before the code ever reaches production? Let’s put more intelligence and verification directly into the compiler. The compiler could even actively test for potential attack vectors as part of the build process. We could go deeper into Rust’s libraries and address the real critical bottlenecks at their source. Maybe we could even create a language that is better than Rust. Don’t waste time on the surface. Focus on the real bottlenecks. Go all the way down to Rust’s core, hardware, materials science, and physics. That’s where the real breakthroughs are.

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