[ampdepolymerase]

The editor autocompletion and standard library documentation could use a lot of work. The introductory tutorials are overly focused on type theory and details and do not give a good overview of which generic data structures to use in production code. Julia's JIT is very different from other conventional mainstream languages and the process of selecting standard library generic data structures for optimal performance is very poorly documented.

There is no Effective Julia style of guide. You either have to wade through infantile tutorials for those with minimal programming experience or several reference books worth of nitpicking on syntax. The actual methods themselves are not well documented and lack examples and usage guidelines.

The language and ecosystem do not feel like a project backed by commercial funding, it feels like one of those functional languages out of academia research where the structure and design of the language are more important than actual developer experience. There are many new projects but most are not actively maintained and updated. The language itself feels massive, with syntactic sugar and weird types everywhere. Trying to understand the implementations of other people's Julia code is frustrating, similar to reading a library written in pure C++ templates. Compared to Go/Rust/Dart, Julia feels overly convoluted. Julia literature is structured in a way that seems to heavily encourage you to take regular classes and lectures to learn and pick up the language. It is hard to feel productive from the get-go.