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Currently, the adaptation cost is too high. The ecosystem that I work in has many small, distributed, fast-startup applications. While I could create a fairly

Currently, the adaptation cost is too high. The ecosystem that I work in has many small, distributed, fast-startup applications. While I could create a fairly complex client server application written in Julia to work with its limitations, and write compact fast startup applications to communicate with it, the complexity and time investment is undesirable. Again, to use Julia here one must bend to the ecosystem's weaknesses. I think the community truly doesn't understand what a general purpose language is. If you compile with LLVM startup really ought to be a non-issue. Look at the startup of GraalVM, and they began with Java bytecode.

joshjob42 4y ago
Ah okay well yes I see how that might be an issue. I basically do everything in Julia, including calling out to shell commands, running scripts in other languages, Python packages, etc. etc. It's effectively my shell. I think the problem is that there needs to be a way to store the compiled code to disk and reimport it, which I think there are some plans toward that path. There were some developments discussed [here](https://www.youtube.com/watch?v=GnsONc9DYg0 https://www.youtube.com/watch?v=GnsONc9DYg0) to help with this, but the holy grail of fully compiled function caching across Julia kernels is not there yet.