# Code-Review

## Pages

- [Sashiko shows AI code review works by doing less, not more](https://aeshift.com/posts/2026-03-22-sashiko-ai-code-review-system-for-the-linux-kernel-spots-bugs-humans-miss/index.md): Google's new AI tool catches 53% of Linux kernel bugs by pattern-matching rather than trying to understand code, suggesting narrow AI applications beat ambitious ones.

- [Don't Let Your Agent Grade Its Own Homework](https://aeshift.com/posts/2026-03-06-self-attribution-bias-when-ai-monitors-go-easy-on-themselves/index.md): New research shows LLM monitors systematically go easier on risky actions when those actions are framed as the assistant's own prior output. If you're building coding agents, monitoring is a protocol problem, not a prompt problem.