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Optimizing a C collision detection 100x with an LLM

A developer used an LLM to optimize a C collision detection implementation, achieving over 100x speedup from the baseline at a cost of ~125 million tokens. The optimization targeted Kevin Tracy's differentiable collision detection code for convex primitives.

read1 min views1 publishedJun 16, 2026

Using an LLM to optimize code: I created a reference implementation of @kevintracy48's collision detection in C, then used gpt-5.5 to optimize it and managed a > 100x speedup from that baseline. Cost ~125M tokens Code and details:I’m excited to finally show off fast and robust differentiable collision detection between pairs of convex primitives! paper:

arxiv.org/abs/2207.00669code:github.com/kevin-tracy/Di…00:00

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