I think Julia was well designed to stay fast for a long time, for many tasks. But anything that isn’t universally optimally addressable by a Lispish front end

I think Julia was well designed to stay fast for a long time, for many tasks. But anything that isn’t universally optimally addressable by a Lispish front end to LLVM JIT is going grow multiple approaches that aren’t fully compatible, in the same way that Python, not built for speed of execution, grew multiple approaches to fast code ( just realized I forgot about PyPy in my list above). So I expect there to be multiple eventually incompatible approaches to AOT compilation, web frameworks, GUIs etc. Julia’s youth restricts divergence in the short run but long run I think divergence is a healthy part of any ecosystem, and not to be disparaged as in the post I originally replied to.