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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.

122,804 次观看 • 1 个月前 •via X (Twitter)

34 条评论

DeedleFake 的头像
DeedleFake1 个月前

Not quite.

Kartik 的头像
Kartik1 个月前

i will still use Go

Kevin Möchel 的头像
Kevin Möchel1 个月前

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

zoidz00 的头像
zoidz001 个月前

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

Allan MacGregor 的头像
Allan MacGregor1 个月前

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

Nyasha Dennis 的头像
Nyasha Dennis1 个月前

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

Shoyeb Ansari 的头像
Shoyeb Ansari1 个月前

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.

Amit Ghadge 的头像
Amit Ghadge1 个月前

not impressed, each programming language made for different purpose.

Lewis Campbell 的头像
Lewis Campbell1 个月前

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

Ivan Mrvelj 的头像
Ivan Mrvelj1 个月前

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

Jey Hey 的头像
Jey Hey1 个月前

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:

ce.gie 的头像
ce.gie1 个月前

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

Stateless 的头像
Stateless1 个月前

Go all the way

adam smielewski 的头像
adam smielewski1 个月前

the ball man strikes again

C.NASIR 的头像
C.NASIR1 个月前

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

Diiv 的头像
Diiv1 个月前

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.

Neva Deez 的头像
Neva Deez1 个月前

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

rajat 的头像
rajat1 个月前

Yes and a lot depends on the libraries also

neuroquark 的头像
neuroquark1 个月前

balls have dropped

Pablo Machón 的头像
Pablo Machón1 个月前

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

Adam Okoń 的头像
Adam Okoń1 个月前

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

Tudor Andrei 的头像
Tudor Andrei1 个月前

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.

jam 的头像
jam1 个月前

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

Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️ 的头像
Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️1 个月前

Rust is a NSA Language.😂

Marce Coll 的头像
Marce Coll1 个月前

God the amount of parroting clueless people in this site

cafkafk 的头像
cafkafk1 个月前

no gatekeep this let them eat ruby

Yi Meng 的头像
Yi Meng1 个月前

the only guy to consistently take his balls out to explain

Deeev 的头像
Deeev1 个月前

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.

Jye 的头像
Jye1 个月前

What did Go do to deserve these balls

𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】 的头像
𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】1 个月前

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.

Wade Mealing 的头像
Wade Mealing1 个月前

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

Zak 的头像
Zak1 个月前

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?

Alessio Piergiacomi 的头像
Alessio Piergiacomi1 个月前

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

Ayaz 的头像
Ayaz1 个月前

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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