I'm not sure if this author used an LLM, but I think you've misunderstood that paragraph. At worst, the line you're referencing is a tongue-in-check little introduction into a paragraph that describes the top-level differences in approach to serialization that the two libraries take.
deser might also just be deserialize shortened, and I was wondering if it was something focused on deserialization only. As such, I didn’t find a quick little note on the etymology to be a particularly egregious waste of words.
I think this is a case of pangram's attribution being confused. All code examples are AI generated but it places the attribution on the text that surrounds it.
How does this compare to facet [0][1] by fasterthanlime? Seems some of the reasoning is similar especially for compile time bloat.
[0] https://facet.rs
[1] https://fasterthanli.me/articles/introducing-facet-reflectio...
Facet set out to compile faster, but AFAIK it never actually achieved that goal.
next time just write the post yourself. I don't need an entire paragraph to explain that deser = serde but reshuffled
I'm not sure if this author used an LLM, but I think you've misunderstood that paragraph. At worst, the line you're referencing is a tongue-in-check little introduction into a paragraph that describes the top-level differences in approach to serialization that the two libraries take.
deser might also just be deserialize shortened, and I was wondering if it was something focused on deserialization only. As such, I didn’t find a quick little note on the etymology to be a particularly egregious waste of words.
https://www.pangram.com/history/5f1c86e9-2b47-4d36-9e64-2191...
I think this is a case of pangram's attribution being confused. All code examples are AI generated but it places the attribution on the text that surrounds it.