Automated patch review: lessons from Sashiko
LWN's article presents Sashiko, a system that uses a language model to review kernel patches automatically and help address a shortage of reviewers.
Source: Atualização sobre o sistema de revisão de patches Sashiko (lwn.net). Text prepared with AI from this source.
What happened and what to do
LWN's article reports that code review is a bottleneck in kernel development because there are not enough people to adequately assess every submitted patch. At Kernel Recipes 2026, maintainer Roman Gushchin presented Sashiko, a system that uses a language model to generate automated reviews and is already part of the kernel development process. The article also mentions ongoing efforts to improve it, without specifying particular changes.
A company can apply this approach to its own review workflows: integrate an automated tool into pull requests, define review criteria, and route findings for human validation. This requires limiting access to code, recording results, and tracking the quality of suggestions before incorporating them into the workflow.
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Wendelmaques can diagnose the review process and security requirements, design a solution suited to the company's infrastructure, and implement integrations, controls, monitoring, and supported operation.
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