I'd like to see a revival of awk. It's less easy to scale up, so there's very little risk that starting a project with a little bit of awk results in the next person inheriting a multi-thousand line awk codebase. Instead, you get an early-ish rewrite into a more scalable and maintainable language.
Taco Bell programming is the way to go.
This is the thinking I use when putting together prototypes. You can do a lot with awk, sed, join, xargs, parallel (GNU), etc. But it's really a lot of effort to abstract in a bash script, so the code is compact. I've built many data engineering/ML systems with this technique. Those command line tools are SO WELL debugged and have reasonable error behavior that you don't have to worry about complexities of exception handling, etc.