Google s Sashiko AI Has Completed 191k Patch Reviews, Cited On Nearly 500 Kernel CVEs
Curated from Phoronix
The Linux kernel’s sheer volume and complexity make manual review a bottleneck for many maintainers. Google’s Sashiko project offers a pragmatic look at how agentic AI can alleviate this pressure without replacing human judgment. The reported metrics—191,000 reviews and citations on nearly 500 CVEs—suggest the tool has moved beyond experimental status into genuine operational utility. For SREs and infrastructure engineers, this signals a shift in how upstream security patches are validated. It is not just about speed; it is about consistent, exhaustive pattern matching that catches subtle regressions before they hit production. The key takeaway for your team is to start treating AI-assisted code review as a standard layer in your CI/CD pipelines. Integrate these tools early to catch upstream issues before they cascade into your own environment, reducing the mean time to mitigation for critical vulnerabilities.
Sashiko that was built by Google engineers for agentic review of the Linux kernel code changes and powered by Google's AI models continues proving very valuable to kernel developers. In less than one year since they launched Sashiko for agentic AI code review, their results are quite fascinating...
— Phoronix