【AI Code, No Cash】Google's Free AI Tool Boosts Programming Efficiency by 70% - 谷歌免费AI工具让程序员效率飙升70%

 Google's Open-Source Gemini CLI – Free, Easy to Use, Even Clumsy Folks Can Shine - 谷歌开源 Gemini CLI，免费还好用，手残党也能浪

💥OMG! Command line controlled by TALKING? Google's AI tool is wild!

✨【Crying Worker Series】No more memorizing commands!

Google's open-source Gemini CLI is the "smart voice assistant" of terminals,

Understand natural language for code analysis, auto-generation, bug fixing,

Noobs and clumsy folks can fly directly! ✈️

🚀 Why developers are switching?

✅ Insanely free: 1000 daily requests, broke students rejoice!

✅ Human-talk friendly: Type "build JWT login" → Tab for auto-code (Python/JS/Go supported)

✅ Million-line code analyzer: Drag a whole project, it exposes all flaws

❌ Real drawback: Needs internet! No network = brick (offline version coming)

🤯 3 mind-blowing moments

Lazy code generator:

Type "Python Fibonacci with type hints" → gets runnable code with comments

Bug fix savior:

Select error code + /fix "null pointer" → instant patch with diff, no more all-nighters

Slacker's bestie:

Type "explain main.py" → AI translates code in human words, no more begging colleagues

🧠 3-step noob guide (idiot-proof)

Install Node.js (≥v18): Download from 官网，easy peasy

One-click install: sudo npm install -g @google/gemini-cli, login Google for free credits

Talk to AI: Type "write a Python crawler" → AI understands better than your partner

⚠️ Don't mess up!

▪️ Can't find the command? Run sudo ln -s $(npm root -g)/@google/gemini-cli/dist/cli.js /usr/local/bin/gemini

▪️ Don't spam! 60 requests/min, or you'll get throttled

📢 Wrapping up

The biggest AI freebie of 2025!

Free, open-source, no complex commands,

Code/write/fix/audit with your mouth,

Say goodbye to overtime, more time for memes～

👉 Type gemini now and enjoy AI servant life!

✨【打工人痛哭流涕系列】终于不用死记硬背命令行了！

谷歌开源的 Gemini CLI 简直是终端界的 "智能语音助手"，

用人话就能玩转代码分析、自动生成、BUG 修复，

手残党 / 编程小白直接原地起飞！✈️

🚀 它凭啥让开发者集体跳槽？

✅ 免费到离谱：每天 1000 次白嫖额度，学生党 / 穷逼狂喜

✅ 人话指令秒懂：直接输入 "写个 JWT 登录功能"，按 Tab 键自动生成代码（支持 Python/JS/Go）

✅ 百万行代码秒分析：整个项目拖进去，架构缺陷、性能问题全给你扒光

❌ 缺点很真实：必须联网！断网直接变砖（但官方说未来会出离线版）

🤯 实测 3 大真香名场面

代码生成懒人机：

输入 "用 Python 写斐波那契数列，带类型注释"，直接甩给你能跑的代码，连注释都帮你写好

BUG 修复急救箱：

选中报错代码，输入 /fix "修复空指针异常"，秒级生成补丁还带修改对比，再也不用抓头发到凌晨

摸鱼党福音：

输入 "解释 main.py 的功能"，AI 直接用人话翻译代码逻辑，再也不用求同事爸爸了

🧠 小白 3 步上手攻略（手残党包会）

装环境：先装 Node.js（≥v18），官网直接下，傻瓜式安装

一键开撸：终端输入sudo npm install -g @google/gemini-cli，登录谷歌账号白嫖额度

开口即来：直接输入 "用 Python 写个爬虫"，AI 比你男友还懂你需求

⚠️ 避坑指南

▪️ 安装后找不到命令？输这行sudo ln -s $(npm root -g)/@google/gemini-cli/dist/cli.js /usr/local/bin/gemini

▪️ 别贪心！每分钟最多 60 次请求，狂按回车会被限流

📢 总结

这可能是 2025 年最值得薅的 AI 羊毛！

免费、开源、不用学复杂命令，

写代码 / 改 BUG / 做审计全靠一张嘴，

从此告别加班改需求，摸鱼都更有底气了～

👉 现在就去终端输入gemini，感受被 AI 伺候的快乐！

GitHub 代码速懂？DeepWiki 免费用 - Understand GitHub Code Instantly? DeepWiki Free to Use

免费又好用，GitHub 仓库轻松懂！- Free and easy, GitHub repos at your fingertips!

还在为看 GitHub 项目文档挠破头皮吗？那代码迷宫，绕进去就出不来？甭愁啦！救星闪亮登场——它就是 Devin AI 东家 Cognition AI 团队倾情奉献的 DeepWiki！这玩意儿啊，专治各种看不懂、学不快， GitHub 仓库秒变贴心小棉袄，关键是：完全免费，操作简单到起飞！

DeepWiki 是个啥宝贝？

简单说，它就是个 GitHub 仓库的“AI翻译官+导游”，把天书代码变成咱看得懂、聊得来、玩得转的交互文档。新手上路？大神赶时间？统统拿下！

咋用？三步走，比把大象放冰箱还简单！

乾坤大挪移：GitHub 仓库链接里的 "github.com" 咻的一下改成 "deepwiki.com"。比如： https://github.com/some/repo 就变成 https://deepwiki.com/some/repo 或者，直接上官网 https://deepwiki.com/ 搜仓库大名或“作者/仓库名”。

一眼看穿：技术栈、依赖关系、代码结构图，清清楚楚，明明白白。

AI陪聊：页面底下有个聊天框，代码有啥不明白的，尽管问！那个“Deep Research”一般不用点，慢吞吞，答案也差不多。

实例帮你秒懂：

你要是下载了 ComfyUI 和 ComfyUI Manager，想在 ComfyUI 里用 ComfyUI-Fluxtapoz，直接问 AI 助手：“我装了 ComfyUI 和 ComfyUI Manager，咋在 ComfyUI 里用 ComfyUI-Fluxtapoz 啊？” 详细步骤立马呈上。

想用 Express.js 和本地 Ollama 搭个简单的本地聊天工具，在 Mac 终端或 Postman 里跑，不用界面。就在 DeepWiki 的 Express.js 页面底部问 AI：“咋用 Express.js 和本地 Ollama 做个简单的本地聊天工具，在 Mac 终端或 Postman 里跑，不用界面呢？” AI 马上给你整出详细方案。

总结一句：

DeepWiki，GitHub 探险好伴侣！文档自动生成，图表直观易懂，AI 随时答疑。甭管你是小白还是老司机，想快速摸清一个 GitHub 仓库的底细，用它，准没错！省时省力，效率“嗖嗖”往上涨！

ComfyUI & Stable Diffusion: The Ultimate Resource Hack - 1 Minute to Sync Models and Nodes - ComfyUI & Stable Diffusion：资源黑客终极指南 - 1分钟同步模型和节点

Stop Wasting, Start Syncing! - 停止浪费，开始同步！

Fed up with the hassle of double-dipping into model installations? Dive into our 60-second hack to sync ComfyUI with your local Stable Diffusion WebUI, sparing you the agony of redundant setups. We'll show you how to effortlessly glide through model, node, CLIP, VAE, and Lora configurations, turning your dual UI woes into a thing of the past. Plus, for path-confused AI artists, we've got the config file right here, ready for a quick tweak and roll.

Ready to unleash the power of your AI art tools without the clutter? First, hunt down that hidden gem in your ComfyUI folder—the 'extra_model_paths.yaml.example' file. Change its file name to ‘extra_model_paths.yaml’, and boom, you're in the game. Fire up your favorite text editor, or if you're feeling commando, dive into the terminal (Mac/Linux) or command prompt (Windows). Tweaking this configuration file to harness the magic of Stable Diffusion WebUI models, nodes, CLIP, VAE, and Lora, all from the cozy confines of your ComfyUI. The specific configuration file can refer to the following example.
# Rename this to extra_model_paths.yaml and ComfyUI will load it

# config for a1111 ui

a111:

    base_path: /Users/your_username/stable-diffusion-webui/  # 指向Stable Diffusion WebUI的安装路径

    checkpoints: models/Stable-diffusion  # Stable Diffusion模型的路径

    configs: models/Stable-diffusion  # Stable Diffusion配置文件的路径

    vae: models/VAE  # VAE模型路径

    loras: |

         models/Lora  # Lora模型路径

         models/LyCORIS  # LyCORIS模型路径（如果有的话）

    upscale_models: |

         models/ESRGAN  # ESRGAN模型路径

         models/RealESRGAN  # RealESRGAN模型路径

         models/SwinIR  # SwinIR模型路径

    embeddings: embeddings  # 文本嵌入路径

    hypernetworks: models/hypernetworks  # 超网络模型路径

    controlnet: models/ControlNet  # ControlNet模型路径

# config for comfyui

comfyui:

    base_path: /Users/your_username/ComfyUI/  # ComfyUI的安装路径

    checkpoints: /Users/your_username/stable-diffusion-webui/models/Stable-diffusion  # 指向A1111安装目录下的Stable Diffusion模型

    clip: /Users/your_username/stable-diffusion-webui/models/clip/  # 指向A1111的CLIP模型路径

    clip_vision: /Users/your_username/stable-diffusion-webui/models/clip_vision/  # CLIP视觉模型路径

    configs: /Users/your_username/stable-diffusion-webui/models/configs/  # Stable Diffusion的配置文件路径

    controlnet: /Users/your_username/stable-diffusion-webui/models/ControlNet/  # 指向ControlNet模型的路径

    embeddings: /Users/your_username/stable-diffusion-webui/embeddings/  # 嵌入模型路径

    loras: /Users/your_username/stable-diffusion-webui/models/Lora/  # Lora模型路径

    upscale_models: /Users/your_username/stable-diffusion-webui/models/upscale_models/  # 指向超分辨率模型路径

    vae: /Users/your_username/stable-diffusion-webui/models/VAE/  # VAE模型路径

All paths must be absolute paths to where the actual files are located on your system. - 所有路径必须是你系统上实际文件所在的绝对路径。