I kind of had the feeling LLMs would be better at Python vs other languages, but wow, the difference on Multi SWE is pretty crazy.
Not sure what you mean by benchmaxxing but we think there's still a lot of useful signals you can infer from SWE-bench-style benchmarking.
We also have SWE-bench Multimodal which adds a twist I haven't seen elsewhere: https://www.swebench.com/multimodal.html
I mean that there is the possibility that swe bench is being specifically targeted for training and the results may not reflect real world performance.
Maybe a lot of the difference we see between peoples comments about how useful AI is for their coding, is a function of what language they're using. Python coders may love it, Go coders not much at all.
Look at the results from multi swe bench - https://multi-swe-bench.github.io/#/
swe polybench - https://amazon-science.github.io/SWE-PolyBench/
Kotlin bench - https://firebender.com/leaderboard