In the Linux kernel 7.4-rc2 release, the number of fixes created by AI exceeded the number of automatically generated bug reports, which may indicate a change in the trend in open-source development, where AI is starting to bring more benefits than spam.
In the Linux kernel 7.4-rc2 release, the number of fixes created by AI exceeded the number of automatically generated bug reports, which may indicate a change in the trend in open-source development, where AI is starting to bring more benefits than spam.
This was announced by the founder and chief architect of the Linux kernel, Linus Torvalds, in a mailing list for developers, the Linux Kernel Mailing List.
Although the 7.4-rc2 update looks large in terms of the number of files involved, Torvalds called it "very simple" as it consists mostly of 1-2 line point fixes. The bulk of the changes fall on the graphics, sound, and network drivers, as well as the Berkeley Packet Filter (BPF) subsystem.
According to Torvalds, a significant portion of these fixes were created using AI. The co-developer of the BPF subsystem confirmed that in his direction the number of AI-generated patches officially exceeded the number of incoming bug reports.
The specificity of open-source projects is that the influx of poor-quality bug reports from AI bots has become a serious burden for development teams. Some communities have even been forced to roll back their vulnerability bounty programs. However, the Linux kernel, thanks to a stricter entry threshold and a moderation team, is able to effectively filter contributions. Torvalds emphasized that the created AI code should be viewed positively if it passes standard quality control.
"I think most other areas haven't reached that level yet, but it's at least a sign that we might be starting to see things start to change," Linus Torvalds noted.
Torvalds previously released an experimental series of eight patches, developed with the help of AI assistant Claude Code . The update aims to address a long-standing bottleneck in kernel file caching that significantly slows down parallel data reads.
