Google Releases Sashiko: AI Code Review Agent for Linux Kernel Patches

Google engineers have released Sashiko, an open-source agentic AI code review system specifically designed for the Linux kernel. Roman Gushchin of Google's Linux kernel team announced the project, which has been used internally at Google to uncover issues and is now publicly available.
Key Details
Sashiko covers all submissions to the Linux kernel mailing list and is funded by Google, which also covers the token budget and infrastructure. The project hosting is being moved to the Linux Foundation.
According to Roman's announcement, Sashiko was able to find around 53% of bugs based on an unfiltered set of 1,000 recent upstream Linux kernel issues with "Fixes:" tags using Gemini 3.1 Pro. He noted that "100% of these issues were missed by human reviewers."
The system was designed for Google Gemini Pro 3.1 but should work with Claude and likely other LLMs too.
Access and Resources
- The code is open-source on GitHub
- A web interface for upstream agentic code review of Linux kernel patches is available at Sashiko.dev
- Roman's full announcement can be read on LinkedIn
This tool is for developers working on or reviewing Linux kernel code, particularly those submitting patches to the upstream mailing list.
📖 Read the full source: HN AI Agents
👀 See Also

Meeting Summarization on a 6GB GPU: qwen3.5:0.8B Works at 57s, Granite 4 350M Hallucinates
VoiceFlow v1.6.0 adds local meeting recording and summarization. Benchmarking sub-1B models on a 6GB RTX 3060: qwen3.5:0.8B produces structured summaries in 57s at 2.2GB VRAM, while Granite 4 350M hallucinates badly.

Open-source Claude Code reimplementation patched for local model compatibility
A developer patched the open-source Claude Code reimplementation to work with Ollama and local models by removing hardcoded Anthropic client dependencies. The CLI now auto-detects providers from model names and environment variables.

Solo Dev Uses Claude + Blender MCP to Create App Store Video in 90 Minutes
Reddit user Positive_Camel2086 details how they used Claude with the Blender MCP server to generate a 10-second vertical launch video, automating camera rigging, materials, fog, and particle systems via conversational prompts.

Cowork Context Management Kit Solves Claude's File Overload Problem
A developer built a context management kit for Cowork after Claude AI was reading all 462 files in their project folder, causing performance issues and contradictions. The solution includes global instructions, a manifest file system, and a Cowork skill to prioritize relevant documents.