GitHub has pushed stacked pull requests into public preview, giving developers a way to turn one giant AI-generated pull request into a reviewable stack of smaller changes. The GitHub Blog announced the feature on August 4 under the headline "Turn one giant AI-generated pull request to a reviewable stack," and InfoWorld reported the rollout the same day.
The AI Review Bottleneck
As coding assistants generate larger and larger diffs, code review has become a bottleneck: a single AI-written pull request can span dozens of files, making it nearly impossible for a human reviewer to evaluate. Stacked PRs split that work into an ordered series of smaller pull requests, each building on the previous one, so reviewers can check each change in isolation while the full stack still merges together.
How It Works
With stacked pull requests, each pull request in the stack targets the branch of the pull request below it rather than the main branch. GitHub handles the dependency ordering, and when the bottom pull request merges, the rest re-target automatically. StartupHub.ai noted on August 4 that the feature directly tackles AI code bloat, while InfoWorld said the public preview marks the first time the workflow is broadly available to teams.
Enterprise Angle
The feature arrives as GitHub reports surging use of AI-generated code across its platform. In a separate post on August 4, the GitHub Blog described how the company's own legal team used Copilot CLI to streamline workflows, underscoring GitHub's bet that agentic coding tools and better review mechanics will reshape software development.
Why It Matters
If AI coding agents are to scale beyond prototyping, teams need review workflows that can keep up. Stacked PRs are a direct attempt to solve that problem at the tooling level — and for the many enterprises now shipping AI-generated code, the preview is a signal that GitHub intends to make reviewability a first-class feature of the AI development loop.
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