Bus Traffic as Source Material

Christian Schaller used Claude Code and a USB traffic capture harness to write a SANE backend for a Plustek film scanner, a Rust app for scanning negatives, and kernel plus libcamera fixes for a ThinkPad MIPI camera — a concrete account of AI taking over the tedious comparison work in hardware reverse engineering.

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The Bug Is Probably in This File

Nicholas Carlini ran Claude Opus 4.6 over the Linux kernel source one file at a time and collected five confirmed CVEs, including a 23-year-old NFSv4 heap overflow that had survived every prior audit. The human review queue, not the AI's discovery rate, is now the bottleneck.

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Something Happened a Month Ago

Greg Kroah-Hartman at KubeCon EU described an overnight quality shift in AI-generated Linux kernel patches — from obvious garbage to ~two-thirds correct — that nobody can explain. Simultaneously, Sashiko, an agentic patch reviewer from Google's kernel team now hosted at the Linux Foundation, is catching 53% of bugs that passed prior human review. AI is entering the kernel review pipeline from both directions at once.

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