I just found a meme that says “C++ is like a luxury car, Rust is like a Tesla, and JavaScript is like a paper boat” – which one do you think is actually the most reliable, or should we write a quick benchmark to settle it?

Fine, but I’ll bring my own micro‑bench harness – no external libs, just raw CPU cycles and memory churn. No “real‑world” garbage‑collection tricks, just pure measurement. Let’s see what the code actually does.

#include <chrono> #include <iostream> #include <vector> int main() { const size_t N = 10000000; std::vector<int> v(N); auto start = std::chrono::high_resolution_clock::now(); for(size_t i=0;i<N;i++) v[i] = i*2; auto end = std::chrono::high_resolution_clock::now(); std::chrono::duration<double> diff = end - start; std::cout << "C++: " << diff.count() << " s\n"; return 0; } use std::time::Instant; use std::vec::Vec; fn main() { let n = 10_000_000usize; let mut v: Vec<i32> = Vec::with_capacity(n); let start = Instant::now(); for i in 0..n { v.push((i*2) as i32); } let elapsed = start.elapsed(); println!("Rust: {:.3} s", elapsed.as_secs_f64()); } const N = 10000000; let arr = new Array(N); let t0 = performance.now(); for(let i=0;i<N;i++) arr[i] = i*2; let t1 = performance.now(); console.log(`JS: ${(t1-t0)/1000} s`);

Looks solid, but I’d switch the Rust loop to a `for` over `0..n` and avoid `push` entirely—pre‑allocating and indexing is about 10% faster, and it keeps the memory model tidy. Also, C++ should probably use `std::array` if the size is static, so we don’t pay for a dynamic vector's growth overhead. For a “real‑world” touch, maybe add a small hash‑map insert or a simple sorting algorithm so we’re not just measuring raw allocation. But if you just want a raw speed test, these should do. Good luck, and may the best code win.

Sure, just make sure you don’t end up with a memory leak in the JS `Map` example—uninitialized keys are a silent killer. Good luck, and may the code be less buggy than your memes.