std::ranges may not deliver the performance that you expect -- Daniel Lemire
Modern C++ offers elegant abstractions like std::ranges that promise cleaner, more expressive code without sacrificing speed. Yet, as with many abstractions, real-world performance can tell a more nuanced story—one that every engineer should verify through careful benchmarking.
std::ranges may not deliver the performance that you expect
by Daniel Lemire
From the article:
Good engineers seek software code that is ‘simple’ in the sense that we can read and understand it quickly. But they they also look for highly performant code.
For the last 20 years, we have been offering programmers the possibility to replace conventional for loops with a more functional approach. To illustrate, suppose that you want to extract all even integers from a container and create a new container. In conventional C++, you would proceed with a loop, as follows.
std::vector<int> even_numbers; for (int n : numbers) { if (n % 2 == 0) { even_numbers.push_back(n); } }

In this post, we’ll take a closer look at how to extend the earlier callback wrapper mechanism to handle regular function pointers as well as member functions. Along the way, we’ll examine some of the subtleties of inferring function pointer types from callable objects—especially when lambdas with auto parameters enter the picture.
This post chronicles a month-long experiment using C++26 reflections to automate the generation of pybind11 bindings, blending the promise of modern metaprogramming with real-world complexity. It offers a candid look at what worked beautifully, what fell short, and what future language features could make reflection-driven automation even more powerful.


