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CVXPY ported to R in 10 days, 310 times faster
Two people steered Claude Code through porting the CVXPY optimisation library to R, with large speed and memory gains.
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Credits
- Post author ptnobel.bsky.social Source ↗
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The full story
Two people steered Claude Code through porting CVXPY, a Python library for convex optimisation, to R in ten days. Compared with the older CVXR package, the port is about 310 times faster, uses about 3,100 times less memory and adds years of missing features.
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From a passing comment or social post, so the details are thin.
- Bluesky: Claude Code ported CVXPY to R in 10 days with two people steering it. This resulted in a 310× perforPost author: ptnobel.bsky.socialPosted
A post by one of the two people involved.