Turn one giant AI-generated pull request to a reviewable stack
The GitHub Blog 3 weeks ago 44
GitHub stacked pull requests enable AI coding agents to decompose large features into smaller, logically ordered, independently reviewable pull requests rather than shipping monolithic 1,000+ line diffs. The article demonstrates a four-layer stack for adding product search to a shopping assistant, with each layer scoped to a single concern (data model, API, chat integration, UI) and reviewed separately. By adopting stacked pull requests, teams reduce review burden, improve feedback quality, and enable parallel review by specialized domain experts while tooling handles rebasing and conflict resolution across the stack.