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Jacquard is a research programming language that puts effects, uncertainty, and content-addressed identity directly in the syntax — on the premise that if machines write most code, human reviewers need the language itself to answer "what can this touch, and how sure are we."
Read more →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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