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https://github.com/4Catalyzer/pykubectl A python bridge to kubectl providing additional functionalities useful for CD and #automation. #machine_learning

https://www.infoworld.com/article/3209651/python/how-to-convert-python-to-javascript-and-back-again.html How to convert #Python to #JavaScript (and back again) Love Python? JavaScript, not so much? Here are four tools that turn Python to JavaScript for use in web applications

🛑 Gemini and Cursor vulnerabilities exposed direct code execution in dev workflows. #Gemini CLI (CVSS 10.0) auto-trusted folders in CI, letting malicious .gemini/ configs from PRs run on hosts. #Cursor bugs triggered hidden Git hooks and exposed local API keys via extensions. 🔗 Details → https://thehackernews.com/2026/04/google-fixes-cvss-10-gemini-cli-ci-rce.html

http://robotframework.org/ #Robot#Framework is a generic test #automation framework for acceptance testing and acceptance test-driven development (ATDD). It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

#Design 编辑部分享 · 我是如何做文章封面的？ 👀 大家应该也发现了，自留地目前的部分 banner 是由编辑部的编辑制作的，今天就跟大家分享一下制作心得 🔨工具 👨‍🎨贾思敏： 我之前一直使用 Photoshop 进行制图，由于最近开始学习 UI 设计相关，所以用 Sketch 比较多 👨‍🎨鸟言鸟语： 我比较常用的是 Procreate 、Affinity Designer 和字由，因为不熟悉钢笔工具，封面中的图案便通过 Procreate 绘制，绘制完成后导入 AD 进行下一步的工作 🏭流程 👨‍🎨贾思敏： 我认为灵感和思路比较重要，通常接到制图工作后，先确定需要表达的主题、关键词，然后开始在脑中酝酿想法。我习惯在 Google Image 和 Pinterest 上以主题关键字搜索图片，通过浏览大量图片来获取灵感。制图时先确定图片的背景以及主体元素，然后进行排版，最后选取适合的字体。 👨‍🎨鸟言鸟语： 我的封面通常是在完成文章终稿后进行制作的，首先将标题打在屏幕上，哪种风格？文章主题是什么？要突出什么关键词？用什么字体？有了答案后，思路也会展开。偶尔想不出的时候，会去 Dribbble、站酷等设计社区寻找灵感。第二步需要寻找素材，图案更多从素材网站中获取，根据需要做出一定调整。 🐑分享 - Iconhub: 一个在线图标库，免费提供一系列的精美的支持自定义颜色、描边、大小的图标 - Dribbble: 设计分享社区，有许多国内外的优质的设计，通常在上面找灵感 - unDraw: 免费的可商用的开源扁平化设计素材库 - GoogleFonts: Google 免费字体库，可商用，大部分是英文 - 字由: 国内设计师字体库，有大量好看的中文字体 频道：@NewlearnerChannel

Maid - Mobile Artificial Intelligence Distribution Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. -Choose from A wide range of models that runs LOCALLY and access remote models via api key! -Text based output -Image Generation (Selected Models only) -No video or short clips generation yet -Voice generation on selected models (Not tested) -Setting model parameters -Setting system prompt (Making the model behave/generate output in a certain way). -And more. Get it on Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest Fdroid - https://f-droid.org/packages/com.danemadsen.maid/ Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid *Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache* Follow @nogoolag and @libreware for more #ai

Cherry Studio Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models. Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files. The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options. https://github.com/cherryhq/cherry-studio

LibreChat AI Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server. LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features: Free and Open Source: Accessible to everyone without any costs. Customization: Offers extensive options to tailor the platform to individual preferences. Multi-AI Support: Integrates with numerous AI models and services. Unified Interface: Provides a consistent experience for interacting with different AI models. https://www.librechat.ai https://itsfoss.com/librechat-linux/

Jan.ai https://jan.ai A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps. With Jan, you can: -Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google. -Search the web and databases. Integrate AI with everyday tools to work on your behalf (with permission). -Customize and add features with Extensions. Jan is opinionated software about what AI should be.

A Hackers' guide to language models. #video#llm#ml#ai @thedevs https://thedevs.link/nWHcWR