Turn one giant AI-generated pull request to a reviewable stack

The discussion explores the challenges of managing large pull requests in software development and the benefits of using stacked pull requests to enhance code review and integration processes. While traditional large pull requests often become cumbersome and difficult to review, leading to slower merges and increased potential for conflicts, stacked pull requests offer a structured alternative by decomposing features into smaller, logically ordered, and independently reviewable layers. This method allows for focused reviews and clearer allocation of tasks among different agents or developers, improving the quality and efficiency of code integration. With tools like GitHub's native support for stacked pull requests, including the gh-stack CLI, developers can streamline the process by setting a stack base, layering dependencies, and using automated agents to manage specific tasks, ultimately facilitating a smoother and more organized workflow from development to deployment.

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