惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

雷峰网
雷峰网
MongoDB | Blog
MongoDB | Blog
D
Docker
Martin Fowler
Martin Fowler
人人都是产品经理
人人都是产品经理
GbyAI
GbyAI
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
M
MIT News - Artificial intelligence
腾讯CDC
阮一峰的网络日志
阮一峰的网络日志
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
Netflix TechBlog - Medium
B
Blog RSS Feed
云风的 BLOG
云风的 BLOG
Blog — PlanetScale
Blog — PlanetScale
Vercel News
Vercel News
The Cloudflare Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
有赞技术团队
有赞技术团队
G
Google Developers Blog
Stack Overflow Blog
Stack Overflow Blog
I
InfoQ
U
Unit 42

Hacker News: Front Page

SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Virginia Bans Sale of Geolocation Data Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Ancient DNA reveals pervasive directional selection across West Eurasia [pdf] AI cybersecurity is not proof of work Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. A Better Ludum Dare; Or, How to Ruin a Legacy GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent
linux/Documentation/process/coding-assistants.rst at mast...
2026-04-10 · via Hacker News: Front Page

This document provides guidance for AI tools and developers using AI assistance when contributing to the Linux kernel.

AI tools helping with Linux kernel development should follow the standard kernel development process:

  • Documentation/process/development-process.rst
  • Documentation/process/coding-style.rst
  • Documentation/process/submitting-patches.rst

Licensing and Legal Requirements

All contributions must comply with the kernel's licensing requirements:

  • All code must be compatible with GPL-2.0-only
  • Use appropriate SPDX license identifiers
  • See Documentation/process/license-rules.rst for details

Signed-off-by and Developer Certificate of Origin

AI agents MUST NOT add Signed-off-by tags. Only humans can legally certify the Developer Certificate of Origin (DCO). The human submitter is responsible for:

  • Reviewing all AI-generated code
  • Ensuring compliance with licensing requirements
  • Adding their own Signed-off-by tag to certify the DCO
  • Taking full responsibility for the contribution

Attribution

When AI tools contribute to kernel development, proper attribution helps track the evolving role of AI in the development process. Contributions should include an Assisted-by tag in the following format:

Assisted-by: AGENT_NAME:MODEL_VERSION [TOOL1] [TOOL2]

Where:

  • AGENT_NAME is the name of the AI tool or framework
  • MODEL_VERSION is the specific model version used
  • [TOOL1] [TOOL2] are optional specialized analysis tools used (e.g., coccinelle, sparse, smatch, clang-tidy)

Basic development tools (git, gcc, make, editors) should not be listed.

Example:

Assisted-by: Claude:claude-3-opus coccinelle sparse