AI code reviewers

Kernel developer Greg Kroah-Hartman, maintainer of the Linux kernel stable branch, has given a talk examining what large language models mean for software security. The presentation looks at how AI-generated code and AI-assisted development affect vulnerability handling, patching, and trust in open-source infrastructure, drawing on his long experience reviewing kernel patches. Discussion around the talk centers on whether LLMs introduce more security risk or simply new versions of familiar code-review problems.

A discussion thread on Hacker News asks whether developers are genuinely producing good code with AI coding agents. The question invites engineers to share real-world experiences with tools that generate code, amid ongoing debate about whether AI-assisted programming delivers maintainable, reliable results or mostly creates extra review work.

A developer has released Perspica, an open-source tool that produces semantic diffs of code, aiming to show what changes mean rather than just which lines were altered. The project, available on GitHub, is being discussed on Hacker News, where early commenters are weighing its usefulness for pull request reviews and how it compares to standard line-based diffing.

System76 has announced that its COSMIC desktop projects will no longer accept code submissions containing LLM-generated content. The Linux hardware and software developer says contributions must be written without AI assistance. The move reflects a growing frustration among open source maintainers, who argue that machine-generated code adds review burden and quality problems while contributors submit pull requests that are difficult to verify or maintain.