GitHub 如何用堆叠式 Pull Request 拆解 AI 生成的巨型代码

开始使用堆叠拉取请求 >：https://docs.github.com/pull-requests/how-tos/stacked-pull-requests

@juliamuiruri4：https://github.com/juliamuiruri4

了解我是如何使用堆叠会话和拉取请求在 GitHub Copilot 应用中现代化我的旧代码库的。

一个无分支循环和字节空间算术如何让 GitHub 在单核上以 >45 GiB/s 的速度对每个代码搜索字节进行大小写折叠。

Dependabot 保持您的依赖项最新，但其默认设置可能会使您的仓库被拉取请求淹没。以下是通过分组更新、减缓节奏和快速处理安全修复来减少 Microsoft 开源项目噪音的方法。

编写代码的成本降低了；拥有代码的成本没有降低。一个在 AI 时代决策哪些更改实际上是廉价的框架。

掌握 GitHub 所需的一切都集中在一处。

在 GitHub 上构建下一步，无论谁在何处都能构建任何东西。

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Get started with stacked pull requests >：https://docs.github.com/pull-requests/how-tos/stacked-pull-requests

@juliamuiruri4：https://github.com/juliamuiruri4

Learn how I modernized an old codebase of mine using stacked sessions and pull requests in the GitHub Copilot app.

How a branch-free loop and byte-space arithmetic let GitHub case-fold every byte of code search at >45 GiB/s on a single core.

Dependabot keeps your dependencies current, but its defaults can flood your repository with pull requests. Here’s how grouping updates, slowing the cadence, and keeping security fixes fast cut the noise on a Microsoft open source project.

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