Guide Shows How to Ship AI-Generated Code as Stacked Pull Requests for Easier Review

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A new developer tutorial addresses a common problem with AI coding agents: they generate large, hard-to-review pull requests with hundreds of changed files. The guide pairs two tools — Spec Kit, which gives AI agents structured specs and task lists, and gh stack, which breaks output into multiple smaller pull requests capped at 100 files each. Using a real e-commerce payments feature as an example, the walkthrough covers the full lifecycle from project setup to merging a three-PR stack covering domain logic, API, and webhooks. A key element is a shell script gate that blocks the agent from pushing code unless unit tests pass and the file cap is respected. The tutorial targets developers using AI coding agents like Claude, Copilot, or Gemini who want more manageable, reviewable code output.

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