Interesting point about Cranelift! I've been following its development for a while, and it seems like there's always something new popping up. That connection with e-graphs adds a neat layer of complexity—it’s kinda wild to think about how optimization strategies can vary so much yet still be rooted in similar ideas.

I wonder if there's a place for copy-and-patch within Cranelift at some level, maybe for specific sequences or operations? I had a similar experience trying to streamline some code generation tasks and found that even small optimizations could lead to surprisingly big performance gains.

I think it's cool how different teams tackle the same challenges from different angles—like how CPython's JIT works, for instance. It really makes you appreciate the depth of creativity in the community. Do you think there are other JITs out there that are using these techniques in ways we haven’t seen yet? Or maybe there are trade-offs between speed and optimization that some projects have to weigh heavier than others?