Improved incremental CodeQL analysis during Pull Requests for Ruby and Java [GA]

### Value Prop

CodeQL is the static analysis engine that powers GitHub’s code scanning capabilities. In Pull Requests, it can pinpoint potential vulnerabilities and deliver detailed insights alongside automated remediation suggestions through [Copilot Autofix](https://github.blog/news-insights/product-news/secure-code-more-than-three-times-faster-with-copilot-autofix). With this update, CodeQL [queries](https://codeql.github.com/docs/writing-codeql-queries/about-codeql-queries/) and extraction will focus exclusively on newly introduced code rather than rescanning the entire codebase, streamlining the analysis process.

### Expected Outcome

Developers receive even faster feedback during Pull Requests, reducing the time needed to identify and fix emerging vulnerabilities. This speed enhancement aims to make a significant reduction in scan duration with a potential small impact on accuracy on the Pull Requests page. This will help accelerate the remediation process, enabling teams to secure their code more efficiently without slowing down for security.

从 CodeQL 查询文档和提取过程的描述开始，然后确定 Ruby 和 Java 的增量 Pull Request 分析在哪里实现。完成的标准是：在不重新扫描整个代码库的情况下分析新引入的代码，同时提供更快的反馈，并了解对准确性的任何影响。

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