I tried it. It ended up being slower on most non-synthetic benchmarks (like repeatedly installing the same thing with warm caches).
The lessons learned were instead used to make the Ruby frontend much faster.
The lessons learned were instead used to make the Ruby frontend much faster.
I see some parallels between homebrew and Gradle ... for the longest time Gradle was using Groovy for build scripts. The Gradle / Groovy build script DSL was a little too magic and dynamically typed. It looked cute, but led to issues in developer UX (awful stack traces), tooling (documentation and autocomplete), robustness, and performance.
There are other reasons why Gradle is moving away from Groovy. I suspect that the number of people that use and know Groovy is steadily declining. Declarative Gradle, which is the future, is not Turing complete.
I can't help but notice the parallels between Gradle / Groovy and Homebrew / Ruby: using a dynamically typed Ruby DSL with Turing completeness like the olden Gradle ways, and Ruby is declining in popularity like Groovy.
I would have to imagine at some point, the people who know Ruby well enough to create / debug formulae will dwindle. What are the plans?
One big surprise for me at a genomics/bioinformatics company was that of the three main technologies for orchestating bioinformatics workflows, Snakemake, Cromwell, and Nextflow, Nextflow was in a language based on Groovy. It took me back.
That said, yes we have already moved away from our DSL being Turing Complete. This release drops for official taps the ability for packages to run arbitrary postinstall/uninstall/etc. Ruby in favour of DSLs and our JSON API.
This will likely get extended over time to eventually allow package definitions to themselves be in JSON.