
Turn one giant AI-generated pull request to a reviewable stack
8/4/2026
This post introduces and details the application of GitHub Stacked Pull Requests as a mechanism to manage AI-generated code changes. It explains how to decompose large features into smaller, reviewable layers using the `gh stack` CLI, including setting a stack base, identifying foundational units of work, and layering dependent work. The post outlines a workflow for agents to create and manage these stacked pull requests, and describes the reviewer's journey through reading top-down and reviewing bottom-up. It also covers the process of updating and rebasing stacks when changes are requested.

