For me personally, it's really important how productive a language environment is after a few years of development. Therefore: - debugging environment - memor

For me personally, it's really important how productive a language environment is after a few years of development. Therefore: - debugging environment - memory and CPU profilers - compilation and linting time of 100k+ codebases - IDE support for 100k+ codebases - static analysis & software architecture metric tooling (complexity, dependency analysis etc.) - inherent scalability of the language, maturity of patterns & practices of scalability