Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
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When it comes to software engineering, I’d like to think of myself as a generalist. Still, over my 12-year career, a major focus has been building scalable backends. I’ve worked at Amazon and Twitch to build out large-scale systems that support millions of users.