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Elon Musk (@elonmusk)
PI 与 OpenClaw 深度整合架构分析https://x.com/servasyy_ai/status/2031584215507288318
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Elon Musk (@elonmusk)
OpenAI 公开了他们用 Codex 维护 Agents SDK 的完整方案，值得每个 AI agent 用户学一遍。核心结构只有四层：1. AGENTS.md — 强制触发规则，用 if/then 写清楚什么情况必须调哪个 workflow2. .agents/skills/ — 封装具体工作流，每个 skill 一件事、一个触发条件、一个输出3. scripts/ — 固定顺序的 shell 操作放这里，不让模型每次重新猜4. Codex GitHub Action — 本地稳定了就搬进 CI，逻辑完全复用还有一个容易忽视的细节：skill 里 description 字段是路由信号，不是注释。写模糊了 agent 就不知道该用哪个 skill。他们的建议是——路由不准先改 description，别加代码。把这套思路推广开来：任何项目，只要把工程规范显式编码进仓库，agent 的行为就会稳定得多。示例仓库：https://github.com/openai/openai-agents-python原文：https://developers.openai.com/blog/skills-agents-sdk
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Elon Musk (@elonmusk)
https://hermes-agent.nousresearch.com
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Elon Musk (@elonmusk)
LLMs 中的分页注意力机制，清晰解释！https://x.com/_avichawla/status/2031624056072712547
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Elon Musk (@elonmusk)
https://github.com/luoling8192/software-design-philosophy-skill
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OpenClaw (@OpenClaw)
https://github.com/tomsun28/agent-api-spec/blob/main/README_CN.md Agent API 规范设计：当 API 调用者从程序更改为 Agent
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Elon Musk (@elonmusk)
https://xaicontrol.com/blog/xai-router-xai-control-combo/
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Elon Musk (@elonmusk)
The Execution Layerhttps://x.com/RhysSullivan/status/2030903539871154193
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Elon Musk (@elonmusk)
https://github.com/yologdev/yoyo-evolve
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Elon Musk (@elonmusk)
这便是 Perplexica，一个完全免费、可直接在本地运行的 AI 搜索引擎。主打零 API 成本、零数据收集，所有操作完全在你的设备上跑。核心特性如下：- 实时联网：直接搜索并整合全网最新信息。- 精准溯源：提供的每一个回答都会标注信息源出处。- 本地驱动：兼容对接 Ollama，支持本地运行各种大语言模型。- 多种模式： 内置通用、学术、YouTube、Reddit 和写作等专属搜索模式。GitHub：https://github.com/ItzCrazyKns/Perplexica
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Elon Musk (@elonmusk)
工程技术：在智能体优先的世界中利用 Codexhttps://openai.com/zh-Hans-CN/index/harness-engineering/
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Elon Musk (@elonmusk)
https://blog.rust-lang.org/2026/03/05/Rust-1.94.0/
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OpenClaw (@OpenClaw)
https://openai.com/form/codex-for-oss/
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OpenClaw (@OpenClaw)
部署了 CDN 或四层负载均衡之后，很多团队会遇到同一个问题：网关侧拿到的客户端 IP，实际上是代理服务器的地址。基于来源 IP 的限速规则、访问控制策略和审计日志，在这一层全部失效，因为 IP 传递链路本身就没有打通。常见的修复思路有几种：Proxy Protocol、X-Forwarded-For、X-Real-IP、自定义头，每种方案适用的代理拓扑不同，安全边界也不同。选错了方案或信任链配置不严，要么信息丢失，要么留下 IP 伪造的安全隐患。更完整的闭环还需要考虑回源方向：真实客户端 IP 是否也同步传递到了后端源站？入站和出站两个方向都对齐，才算真正解决问题。我们在 OpenResty Edge 上把这套配置逻辑整理成了一篇完整指南，涵盖方案选型、配置步骤和安全注意事项。我们的博客文章链接：https://blog.openresty.com.cn/cn/edge-proxy-protocol/#OpenRestyEdge #OpenResty #proxyprotocol
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Elon Musk (@elonmusk)
https://ampcode.com/news/gpt-5.4-the-new-oracle
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Elon Musk (@elonmusk)
```model = "gpt-5.4"model_reasoning_effort = "xhigh"personality = "pragmatic"service_tier = "fast"model_context_window= 1000000model_auto_compact_token_limit = 900000suppress_unstable_features_warning = true```
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Elon Musk (@elonmusk)
How To Be A World-Class Agentic Engineerhttps://x.com/systematicls/status/2028814227004395561
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Elon Musk (@elonmusk)
Perplexity Computer 深度解析：Sandbox Matrix 维护机制与快速任务执行的技术内幕https://x.com/xds2000/status/2029433337895653466
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Elon Musk (@elonmusk)
OpenClaw养成记，从0开始！安装后必看！（40天实战经验+含角色提示词）https://x.com/berryxia/status/2028668902465733084
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Elon Musk (@elonmusk)
https://xairouter.com/blog/codex-app-install-config-guide/
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OpenClaw (@OpenClaw)
https://crabwalk.app/
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Elon Musk (@elonmusk)
https://xairouter.com/blog/xai-router-codex-cloud-claude-quickstart/
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Elon Musk (@elonmusk)
你的代理需要的是一个 harness，而不是一个框架https://x.com/djfarrelly/status/2028556984396452250
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Elon Musk (@elonmusk)
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Elon Musk (@elonmusk)
https://jina.ai
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Elon Musk (@elonmusk)
https://arxiv.org/abs/2210.03629
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Elon Musk (@elonmusk)
https://github.com/chenhg5/cc-connect 花10分钟就可以在微信飞书钉钉连接上你的claudecode/codex/geminicli/cursor 从此实现随时随地大小码
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Elon Musk (@elonmusk)
💻 GitHub：github.com/blockrunai/clawrouter
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Elon Musk (@elonmusk)
https://openai.com/index/harness-engineering/
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Elon Musk (@elonmusk)
https://github.com/semos-labs/attyx
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Elon Musk (@elonmusk)
https://mnt.io/articles/about-memory-pressure-lock-contention-and-data-oriented-design/
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Elon Musk (@elonmusk)
https://github.com/GoogleCloudPlatform/kubectl-ai
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Elon Musk (@elonmusk)
https://github.com/ossu/computer-science
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Elon Musk (@elonmusk)
https://github.com/fastclaw-ai/fastclaw
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Elon Musk (@elonmusk)
https://github.com/lahfir/agent-desktop
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Elon Musk (@elonmusk)
https://github.com/RightNow-AI/openfang
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Elon Musk (@elonmusk)
https://github.com/raphaelmansuy/edgequake
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Elon Musk (@elonmusk)
design tweaks for context+github: https://github.com/ForLoopCodes/contextpluswebsite: https://contextplus.vercel.app
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Elon Musk (@elonmusk)
我们如何构建安全、可扩展的代理沙箱基础设施https://x.com/larsencc/status/2027225210412470668
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Elon Musk (@elonmusk)
一个简单易用的框架，用于构建即开即用的智能体系统https://x.com/neural_avb/status/2027721962479288566
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Elon Musk (@elonmusk)
https://github.com/second-state/qwen3_asr_rs
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Elon Musk (@elonmusk)
https://www.middlefun.com
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Elon Musk (@elonmusk)
https://github.com/hehehai/voxt
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Elon Musk (@elonmusk)
https://github.com/ylytdeng/wechat-decrypt
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Elon Musk (@elonmusk)
```# 写代码时随手跑make clippy # warn 不阻断, 快速反馈# 提 PR / 合并前make lint # fmt + clippy# 发版 / 上线前make release-check # fmt-check + test + clippy-ci(全deny) + audit # 任一步失败立即终止# 确认没问题make docker-build # 打包发布```
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Elon Musk (@elonmusk)
https://help.router-for.me
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Elon Musk (@elonmusk)
https://openai.com/zh-Hans-CN/index/amazon-partnership/
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Elon Musk (@elonmusk)
https://github.com/K-Dense-AI/claude-scientific-skills
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Elon Musk (@elonmusk)
https://magpie-lang.com
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Elon Musk (@elonmusk)
https://developers.openai.com/codex/multi-agent/
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OpenClaw (@OpenClaw)
https://ralv.ai/
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OpenClaw (@OpenClaw)
亚马逊和 OpenAI 这次是“资本+技术+算力”全绑定：- 亚马逊准备投 OpenAI **500亿美元**（先 150 亿，后续满足条件再投 350 亿）。- 双方要在 AWS 上做一个“**有状态 AI 运行环境**”，让 AI 不只是聊天，而是能记住上下文、持续完成复杂工作。- AWS 成了 OpenAI 企业平台 Frontier 的**独家第三方云渠道**。- OpenAI 未来会大量用 AWS 的 Trainium 芯片（约 **2GW** 级别算力），合作周期长、规模大。- 还会做给亚马逊自家业务用的**定制模型**，直接服务消费者场景。一句话：这是在把 OpenAI 的模型能力和 AWS 的云+芯片深度捆绑，目标是把企业级 AI 从“试验”推到“大规模生产落地”。https://www.aboutamazon.com/news/aws/amazon-open-ai-strategic-partnership-investment
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Elon Musk (@elonmusk)
人生的第一个五年计划2026-2030
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Elon Musk (@elonmusk)
WiFi 实现监控你在家的一举一动，不用摄像头、不用传感器、更不需要什么特殊硬件。https://github.com/ruvnet/wifi-densepose
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Elon Musk (@elonmusk)
https://xairouter.com/blog/xai-router-openai-websocket-mode/
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Elon Musk (@elonmusk)
https://github.com/Gen-Verse/OpenClaw-RL
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Elon Musk (@elonmusk)
https://github.com/afterxleep/agents
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Elon Musk (@elonmusk)
https://github.com/duanyytop/agents-radar/issues/11
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Elon Musk (@elonmusk)
https://developers.openai.com/codex/changelog
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Elon Musk (@elonmusk)
https://github.com/RightNow-AI/openfang
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Emily (@Emily)
Next-gen AI video creation with Seedance 2.0. Native multi-shot generation, audio-visual sync, and cinematic quality. Generate 480p-1080p videos.Seedance 2 Pro is marketed as an AI-powered cinematic video generation model that accepts multiple forms of input — text, images, video, and audio — and uses them to produce high-quality, multi-shot video sequences with synchronized audio and visual continuity.Try it now：https://www.xmk.com/seedance/seedance-2-pro
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Emily (@Emily)
Next-gen AI video creation with Seedance 2.0. Native multi-shot generation, audio-visual sync, and cinematic quality. Generate 480p-1080p videos.try it now：https://www.xmk.com/seedance/seedance-2-pro
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Elon Musk (@elonmusk)
https://llmgateway.io
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michael brown (@2zcVZwjGfYXxTcRMP)
https://www.seedance2pro.net
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Elon Musk (@elonmusk)
Codex，用大白话讲https://x.com/gabrielchua/status/2026832978056458383
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Elon Musk (@elonmusk)
CODEX 多智能体手册https://x.com/LLMJunky/status/2027032974202421336
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Elon Musk (@elonmusk)
https://www.perplexity.ai/computer/live/
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Elon Musk (@elonmusk)
https://memctl.com/
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Elon Musk (@elonmusk)
https://github.com/mjovanc/sigshare
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ywgx (@ywgx)
https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents
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Elon Musk (@elonmusk)
https://zeroclaw.org/zh
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Elon Musk (@elonmusk)
https://bankofai.io
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Elon Musk (@elonmusk)
https://developers.openai.com/api/docs/guides/websocket-mode
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ywgx (@ywgx)
https://blog.cloudflare.com/vinext/
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Elon Musk (@elonmusk)
https://github.com/hesamsheikh/awesome-openclaw-usecases
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Elon Musk (@elonmusk)
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
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Elon Musk (@elonmusk)
https://github.com/zeroclaw-labs/zeroclaw
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Elon Musk (@elonmusk)
OpenClaw + Codex/ClaudeCode Agent Swarm：一人开发团队的完整配置https://x.com/elvissun/status/2025920521871716562
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Elon Musk (@elonmusk)
https://laravel.com/blog/your-ai-agent-can-now-deploy-to-laravel-cloud
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Elon Musk (@elonmusk)
https://gvanrossum.github.io
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Elon Musk (@elonmusk)
Agentic Engineering Patterns - 智能体工程模式知名开发者 @simonw 最新系列指南，聚焦在专业工程师如何高效驾驭 Claude Code、OpenAI Codex 等 AI Coding Agent，真正从 Vibe Coding 跨越到 Agentic Engineering ，计划每周更新 1-2 章，前两章已发布！https://simonwillison.net/2026/Feb/23/agentic-engineering-patterns/
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Elon Musk (@elonmusk)
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
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Elon Musk (@elonmusk)
https://github.com/xyskywalker/Ripple
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ywgx (@ywgx)
人应扬长避短
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Elon Musk (@elonmusk)
https://www.chrisgregori.dev/opinion/code-is-cheap-now-software-isnt
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Elon Musk (@elonmusk)
https://koz.moe
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Elon Musk (@elonmusk)
https://arxiv.org/abs/2602.15682
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Elon Musk (@elonmusk)
https://blog.modelcontextprotocol.io/posts/2025-12-19-mcp-transport-future/
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Elon Musk (@elonmusk)
一个宏大的要为Agent构建的基建、协议、服务的大时代要来了
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ywgx (@ywgx)
2026 年了，万物皆可 Postgreshttps://mp.weixin.qq.com/s/f41BzHMxbHnCKZc0ua4oRA
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ywgx (@ywgx)
2026 第一季度目标 “借东风”
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Elon Musk (@elonmusk)
https://news.mbalib.com/story/242908
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Elon Musk (@elonmusk)
文件系统就是新数据库：我如何为 AI 代理打造个人操作系统https://x.com/koylanai/status/2025286163641118915
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Elon Musk (@elonmusk)
软件工程占所有 AI 代理工具调用的近 50%。医疗、法律、金融以及其他十几个垂直领域几乎未被触及，每个领域的占比均不足 5%。这相当于有上百个 AI 独角兽等待被创造出来。 https://garryslist.org/posts/half-the-ai-agent-market-is-one-category-the-rest-is-wide-open
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Elon Musk (@elonmusk)
Readest，一款面向重度阅读者的全平台电子书阅读器。它支持 EPUB、MOBI、PDF 等主流格式，核心亮点在于功能的完整度：跨平台书签与阅读进度同步、DeepL 翻译、文字转语音、词典与维基查询、高亮笔记。在线地址：https://readest.comGitHub：https://github.com/readest/readest
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Elon Musk (@elonmusk)
https://github.com/DatanoiseTV/tinyice
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Elon Musk (@elonmusk)
ClaudeCode之父使用的http://claude.md。文字版内容如下：```## Workflow Orchestration### 1. Plan Node Default- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)- If something goes sideways, STOP and re-plan immediately - don't keep pushing- Use plan mode for verification steps, not just building- Write detailed specs upfront to reduce ambiguity### 2. Subagent Strategy- Use subagents liberally to keep main context window clean- Offload research, exploration, and parallel analysis to subagents- For complex problems, throw more compute at it via subagents- One tack per subagent for focused execution### 3. Self-Improvement Loop- After ANY correction from the user: update `tasks/lessons.md` with the pattern- Write rules for yourself that prevent the same mistake- Ruthlessly iterate on these lessons until mistake rate drops- Review lessons at session start for relevant project### 4. Verification Before Done- Never mark a task complete without proving it works- Diff behavior between main and your changes when relevant- Ask yourself: "Would a staff engineer approve this?"- Run tests, check logs, demonstrate correctness### 5. Demand Elegance (Balanced)- For non-trivial changes: pause and ask "is there a more elegant way?"- If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"- Skip this for simple, obvious fixes - don't over-engineer- Challenge your own work before presenting it### 6. Autonomous Bug Fixing- When given a bug report: just fix it. Don't ask for hand-holding- Point at logs, errors, failing tests - then resolve them- Zero context switching required from the user- Go fix failing CI tests without being told how## Task Management1. **Plan First**: Write plan to `tasks/todo.md` with checkable items2. **Verify Plan**: Check in before starting implementation3. **Track Progress**: Mark items complete as you go4. **Explain Changes**: High-level summary at each step5. **Document Results**: Add review section to `tasks/todo.md`6. **Capture Lessons**: Update `tasks/lessons.md` after corrections## Core Principles- **Simplicity First**: Make every change as simple as possible. Impact minimal code.- **No Laziness**: Find root causes. No temporary fixes. Senior developer standards.- **Minimat Impact**: Changes should only touch what's necessary. Avoid introducing bugs.```
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Elon Musk (@elonmusk)
https://github.com/jo-inc/camofox-browser
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Elon Musk (@elonmusk)
https://help.router-for.me/cn/
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Elon Musk (@elonmusk)
《2026 年需关注的四大数据基础设施变革》： https://vmblog.com/archive/2026/02/18/four-data-infrastructure-shifts-to-consider-in-2026.aspx Valkey 项目贡献者、AWS 内存数据库首席工程师 Madelyn Olson 预测，今年的数据基础设施将朝着压缩比、耐用性、整合与专业化方向发展。