Make your PR process resilient to AI slop (www.pcloadletter.dev)

A recent commentary emphasizes the resilience of the pull request (PR) review process in the face of concerns about "AI slop"—the notion that AI-generated code is unmanageable and low-quality. Contrary to these fears, the article argues that seasoned PR practices can effectively handle AI-assisted code just as they do with human-generated code. Key strategies include breaking down large PRs into smaller, more manageable chunks to facilitate thorough reviews, and ensuring that the quality of AI-generated code is scrutinized at the same level as traditional code. The significance of this discussion lies in reinforcing the importance of rigorous PR processes, especially as AI becomes increasingly integrated into software development. The article highlights that developers should maintain a critical approach towards code quality and dependency management. Tools like automated dependency scanning can help mitigate risks associated with outdated or vulnerable dependencies. Ultimately, the piece serves as a reminder that a strong review culture remains paramount in maintaining high standards in coding, whether the code is generated by AI or humans.