GitHub presents a practical walkthrough for turning a large, AI-generated code change into a stack of smaller, dependent pull requests. Using product search for a shopping assistant as its example, the post frames stacked PRs as a way to keep each review focused without forcing developers to manually synchronize a fragile chain of branches. The central issue is increasingly relevant as coding agents produce changes faster than humans can review them: generation speed does not remove the need to structure, validate, and integrate code carefully.
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