Ported a couple of algorithms from my quite large commercial rust codebase and they were significantly faster in goose. Was wow'd, but the big gain was actually that goose just led the LLM to use more efficient (though admittedly slightly less rust-ideomatic but still safe) data structures, so porting them back kept nearly all of the gain (and in one case, even more).
The obvious 'no shit' comment is 'well your code just wasn't optimized', which is partially true, there was obviously a fair bit left on the table. What I find more interesting is that for darn near zero cost, having an an LLM explore in different languages led to a better outcome than me sitting here running perf and squeezing for cycles.
I'm sure that as I build up a cookbook for my codebase this will be less useful over time, but for now, this is going to be how I approach first order performance optimization.
Nice work, cool tool, plz de-ai the docs :D