AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
A high-performance static analysis toolkit for Ruby
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
This project is a high-performance static analysis toolkit for the Ruby language. The goal is to be a solid
foundation to power a variety of tools, such as type checkers, linters, language servers and more.
Both Ruby and Rust APIs are made available through a gem and a crate, respectively. Here's a simple example
of using the Ruby API:查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
This project is a high-performance static analysis toolkit for the Ruby language. The goal is to be a solid
foundation to power a variety of tools, such as type checkers, linters, language servers and more.
Both Ruby and Rust APIs are made available through a gem and a crate, respectively. Here's a simple example
of using the Ruby API:查看完整 README ↗