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免费Harness！AI不拼智商拼缰绳，手残秒会 | Free Harness! AI Dumps IQ for Leash – Noobs Win

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以前程序员像亲自开挖掘机，现在更像工程总监。Harness Engineering 负责给AI戴上“安全带+导航仪+后视镜”，让它少翻车、多干活。优点是自动测试、自动纠错、自动执行，效率飞升；缺点嘛，就是规则太多时，AI也会像被妈妈一路唠叨的小孩，跑得没那么快。 Developers used to drive the bulldozer; now they design the construction site. Harness Engineering gives AI agents seatbelts, GPS, mirrors, and checkpoints. The result: safer automation, self-correction, and more reliable coding at scale. The downside? If the harness gets too strict, the agent can feel like a kid being supervised every five seconds—safe, but not always fast. Harness不是OpenAI亲生的，是OpenAI+Thoughtworks+Mitchell Hashimoto社区一起养大的 2.不是第三代，是第四代 3.装太多会翻车，慢、贵、死循环，别把AI当妈宝。 宝，Prompt是暧昧，Harness是领证；你负责貌美如花（定方向），AI负责搬砖养家。 Python、Git、VS Code、Ollama、Qwen3、DeepSeek、Gemma全白嫖，Mac/Linux五星，Windows也能跑。 Not OpenAI-only, community built 2) It's Gen4 not Gen3 3) Over-harnessing slows and loops. Free stack: Python, Git, VS Code, Ollama, Qwen3, DeepSeek. Local = no ID, no card. 8-step demo above copies real enterprise flow—fully free, fully local. 实操步骤/Detail Step...
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Claude Code 薅 DeepSeek/Agnes 羊毛 ｜ Claude Code Freeloads DeepSeek & Agnes

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2026年了，还给Anthropic交保护费？CC Switch一插，DeepSeek和Agnes免费往里怼，Claude Code秒变“白嫖王”，又香又稳，无脑上车。 It’s 2026. Why still paying Anthropic $200/month? Just CC Switch free DeepSeek/Agnes into Claude Code. Become the Freeload King. No cap. 超详细保姆级步骤/Super Detailed Steps（Mac / Windows / Linux） 1.安装 Claude Code 终端运行官方安装命令（Node.js 18+ 已安装即可）/Install Claude Code curl -fsSL https://claude.ai/install.sh | sh 2.下载安装 CC Switch（图形化切换神器）/Install CC Switch GitHub 地址：https://github.com/farion1231/cc-switch/releases 下载对应系统最新版本安装（Mac 用 .dmg / zip，Windows 用 .msi，Linux 有 AppImage） 3.注册并获取 DeepSeek API Key/Get DeepSeek API Key 打开 https://platform.deepseek.com/api_keys 注册登录 → 创建新 Key（邮箱即可，无需银行卡） 4.在 CC Switch 中添加 DeepSeek/Add DeepSeek in CC Switch 打开 CC Switch → New Provider → 选择 DeepSeek 预设（或 Custom）  Base URL: https://api.deepseek.com/anthropic   API Key: 粘贴刚才的 Key   模型映射：Primary（Opus位）→ deepseek-v4-pro；Haiku/Sonnet位 → deepseek-v4-flash 5.接入 Agnes AI 免费版（纯白嫖）/Add Free Agnes AI 打开 https://platform...
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3分钟自建,CF+爱菊痛 | 3-minute self-build, CF + Edgetunnel

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现在最香的玩法，就是把 Cloudflare 当“免费高速公路”，GitHub 当“仓库管理员”，再让 edgetunnel 当“交通指挥”。不用买服务器、不用折腾运维，大多数时候都能稳定工作。唯一的小脾气是免费服务偶尔会“请个假”，所以多备一个方案，就像带把备用雨伞一样安心。 Think of Cloudflare as a free global highway, GitHub as the warehouse manager, and edgetunnel as the traffic controller. No VPS, no heavy maintenance, and surprisingly smooth for daily use. The only catch? Free services sometimes take an unexpected coffee break. Keeping a backup setup is like carrying an extra umbrella—rarely needed, but very comforting. 超详细保姆级步骤/Super Detailed Step-by-Step： 1.注册账号 / Register Accounts 准备好 GitHub 账号 和 Cloudflare 账号（邮箱就能注册） Get a GitHub account and a Cloudflare account (email only) 2.Fork 项目 / Fork edgetunnel 打开github 爱菊痛，点右上角 Fork 到自己仓库 3.连接 Cloudflare Pages / Connect to Cloudflare Pages 登录 Cloudflare → Pages → Connect to GitHub → 选中你刚 Fork 的仓库 Cloudflare Dashboard → Pages → Connect to GitHub → Select your forked repo. 4.部署项目 / Deploy 框架选 Pages，直接点 Deploy（不用改任何设置） Choose Pages framework and click Deploy (no changes ...
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3分钟搞定！用 VPS 伪造 API 难道还不会? ｜ 3‑Minute Hack: Faking APIs Like a Pro😂

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搭建一个免费、本地、可控的“网络 + Mock API + Python 小实验室”，用 v2rayN/sing-box 管理网络环境，用本地 Fake/Mock API 做开发测试。 以前折腾网络和接口，像同时修路、修水管、还要猜服务器心情。现在 v2rayN + 本地 Mock API + Python 像自带迷你实验室：网络自己管，接口自己造，数据自己演。免费、可控、离线友好。小缺点？本地服务偶尔也会“罢工”，但至少这次老板就是你 😂 Networking and APIs used to feel like fixing roads, plumbing, and server moods at once. Now v2rayN + local Mock API + Python feels like owning a mini lab: control the network, fake the backend, test freely, and stay local. Mostly smooth—though local servers sometimes take coffee breaks too 😂 本地天气 API 实验室（Fake Weather API Lab） Local Fake Weather API Lab - 免费本地 Mock API 开发小实验这是一个免费、本地、可控的网络 + Mock API + Python 小实验室。通过 v2rayN/sing-box 管理网络环境，用本地 Fake API 进行开发测试。 Step 1. 安装基础工具 / Install Basic Tools做什么？ / What to do? 安装实验所需的核心工具。 / Install local tools.Mac 操作： / Mac Commands: python3 --version git --versionWindows 用户请前往官网下载安装 Python 和 Git。 / Windows users please download Python and Git from official websites. Step 2. 安装 v2rayN / sing-box / Install v2rayN or sing-box做什么...
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小内存 Mac 救星！Qwen3 Terminal 自动搞定YouTube | Tiny RAM Mac Runs Qwen3 Like a Dream

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AI + Terminal + Claude Code/OpenCode = 自动整理 YouTube 素材 + 自动生成博客草稿 + 自动管理代码和文件 姐妹们！用小内存Mac低配本深耕本地 AI 一个月，我彻底改观了✨ 原来最香的根本不是付费云端大模型，而是把终端用成专属生产力搭子！ 不用花钱、上手简单，每天自动帮我规整 YouTube 素材、生成博客草稿，文件也整理得清清楚楚。 谁说小内存(8G)只能追剧摸鱼？我直接用它流畅跑 Qwen3:4B + 智能 Agent，全程离线运行、隐私完全可控，这波反常识玩法真的太丝滑了！ My real experience with an Tiny RAM Mac after using local AI for a month. Cloud AI is overrated. My favorite workflow now is Ollama + Qwen3:4B + Terminal Agent. It’s free, user-friendly, works offline and keeps all your data private. This handy tool sorts my YouTube materials, writes blog drafts and organizes files automatically. Who says Tiny RAM(8G) is only for streaming videos? This offline AI setup runs surprisingly smoothly! 1. 准备素材文件夹 / Prepare Material Folder  mkdir ~/ytm 把你的视频、截图、字幕、笔记全扔进去，AI 才能干活！/ Dump all your crap in. AI works. Magic 2. 一键安装全家桶 / Install Everything  bash brew install eza bat zoxide glow lazygit yazi chafa tlrc ollama git python 3. 下载 Qwen3:4B（8GB Mac 最佳） / Download Model ollama pull qw...
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OpenCode不花钱AI编程！核显吊打付费 | OpenCode Free AI Coding! iGPU Destroys Paid Tools

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OpenCode像“开源版AI程序员宿舍”，模型随便换；free-claude-code则像偷偷帮你省话费的中间商，让Claude Code假装自己还在连大厂API。最爽的是：本地能干活、免费额度能续命、老电脑也能抢救一下。缺点嘛，本地模型偶尔会像熬夜实习生，认真，但方向不一定对。 OpenCode feels like an open-source AI hacker apartment where you can swap models freely, while free-claude-code acts like a sneaky middleman saving your API bill behind the scenes. The best part: local privacy, free cloud credits, and even old laptops get a second life. Downsides? Local models sometimes behave like sleep-deprived interns — hardworking, but occasionally gloriously confused. 照着抄就行/Just copy it as is. 1. 安装 Ollama / Install Ollama https://ollama.com (下载安装/Download N Install) 2. 安装 OpenCode / Install OpenCode Mac/Linux： curl -fsSL https://opencode.ai/install | bash 3. 拉取本地最强免费模型 / Pull Best Free Model ollama pull qwen3-coder 4. 安装 free-claude-code 代理 / Install free-claude-code uv tool install git+https://github.com/Alishahryar1/free-claude-code.git 5. 启动代理服务 / Start Proxy fcc-server (新开终端/Open New Terminal) fcc-claude 6. 直接让AI给你干活 / ...
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不烧卡！免费Claude Code 直接核显起飞 | Zero GPU burn! Free Claude Code takes off on iGPU

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Claude Code + Ollama，就像把“硅谷AI程序员”塞进你电脑：不用API账单、不怕代码外泄、断网也能加班。Mac用户爽得像开外挂，Windows用户偶尔会被WSL2教育做人。本地模型虽然偶尔像实习生发呆，但写网站、改脚本、做自动化已经很能打，钱包终于不用天天流血了。 Claude Code + Ollama feels like hiring a tiny AI engineer who lives inside your laptop: no API bills, no cloud paranoia, and it still works offline. Mac users get near-magic performance, while Windows users occasionally fight WSL2 like a boss battle. Local models may zone out sometimes, but for coding, automation, and side projects, it’s insanely practical. 都说2026年AI编程非得烧显卡？错了！今天手把手教你白嫖Claude Code + Ollama + Qwen3-Coder，连核显都能跑。Mac M2亲测，比找对象还轻松，别再说你不会。 They said AI coding in 2026 needs a 4090? Wrong! Today I'm handing you Claude Code + Ollama + Qwen3-Coder for free — runs even on integrated graphics. Tested on Mac M2, easier than finding a date. Stop saying you can't. 1. 装Ollama / Install Ollama 官网下载/Download Link：https://ollama.com 2. 装Claude Code / Install Claude Code Mac/Linux: curl -fsSL https://claude.ai/install.sh | bash Windows: irm...
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