Summary & Key Takeaways ​

• AI-generated code often results in large, difficult-to-review pull requests.
• The article proposes teaching coding agents to decompose work.
• This decomposition creates clean, ordered stacks of pull requests.
• Utilizing GitHub's stacked pull requests feature enhances reviewability.

Our Commentary ​

This is a practical piece of advice for anyone working with AI-generated code. We've all seen those monstrous PRs, and adding AI to the mix just amplifies the problem. The idea of training agents to think in smaller, reviewable chunks is smart. It feels like a necessary step in making AI a truly collaborative coding partner, rather than just a code-spewing machine.