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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.

122,484 views • 12 days ago •via X (Twitter)

34 Comments

DeedleFake's profile picture
DeedleFake12 days ago

Not quite.

Kartik's profile picture
Kartik12 days ago

i will still use Go

Kevin Möchel's profile picture
Kevin Möchel12 days ago

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

zoidz00's profile picture
zoidz0012 days ago

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

Allan MacGregor's profile picture
Allan MacGregor12 days ago

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

Nyasha Dennis's profile picture
Nyasha Dennis12 days ago

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

Shoyeb Ansari's profile picture
Shoyeb Ansari12 days ago

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's profile picture
Amit Ghadge12 days ago

not impressed, each programming language made for different purpose.

Lewis Campbell's profile picture
Lewis Campbell12 days ago

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's profile picture
Ivan Mrvelj12 days ago

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

Jey Hey's profile picture
Jey Hey12 days ago

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's profile picture
ce.gie12 days ago

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's profile picture
Stateless12 days ago

Go all the way

adam smielewski's profile picture
adam smielewski12 days ago

the ball man strikes again

C.NASIR's profile picture
C.NASIR12 days ago

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

Diiv's profile picture
Diiv12 days ago

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's profile picture
Neva Deez12 days ago

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

rajat's profile picture
rajat12 days ago

Yes and a lot depends on the libraries also

neuroquark's profile picture
neuroquark12 days ago

balls have dropped

Pablo Machón's profile picture
Pablo Machón12 days ago

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's profile picture
Adam Okoń12 days ago

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

Tudor Andrei's profile picture
Tudor Andrei12 days ago

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's profile picture
jam12 days ago

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

Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️'s profile picture
Karsten Aalderks 🚴‍♀️ 🎻 🎒 ⛽️12 days ago

Rust is a NSA Language.😂

Marce Coll's profile picture
Marce Coll12 days ago

God the amount of parroting clueless people in this site

cafkafk's profile picture
cafkafk12 days ago

no gatekeep this let them eat ruby

Yi Meng's profile picture
Yi Meng12 days ago

the only guy to consistently take his balls out to explain

Deeev's profile picture
Deeev12 days ago

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's profile picture
Jye12 days ago

What did Go do to deserve these balls

𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】's profile picture
𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】12 days ago

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's profile picture
Wade Mealing12 days ago

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

Zak's profile picture
Zak12 days ago

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's profile picture
Alessio Piergiacomi12 days ago

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

Ayaz's profile picture
Ayaz12 days ago

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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