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Source channel @olddriverGDstudy · Post #49 · Mar 24

江湖舔狗传 江湖者,江湖也! 各兄弟五湖四海汇聚一堂,为的是个情字,讲的是个义字,说的是个道理。 江湖上无数前辈好汉,忍饥挨饿,夜以继日,通宵达旦,上下求索,陷过无数的坑,踏破无数双鞋换得了有限的几个极品资源,未曾敢占为己有,而是毫无保留,无私公布奉献。 这一切为什么?为的是天下草根、屌丝们,不受仙人跳之苦,不遭各种骗费之难,不枉花了辛苦搬砖的银两盘缠,这是多么高尚的精神,多么高贵的品质啊! 江湖就是江湖,林子大了什么鸟儿都有,舔狗们也像病毒般出没,为害人间。这些禽兽毫无尊严、毫无底线,从溜须拍马、到阿谀奉承,从冷屁股到甜盘子全方位无死角。 舔狗,做着劝婊子从良的梦,抱着救风尘女子出火坑的“崇高”的性幻想,岂不知自己已是婊子口中的笑话! 江湖有江湖的规矩,江湖有江湖的原则,江湖有江湖的风貌,江湖有江湖的脾气。 我知舔狗是死不光的,这一车死光了,下一车还在路上。 但舔狗永远不过是个道具而已,又何必自作多情。 舔狗,你听,电话声已响起,你的钟到了!闭上臭嘴,滚出去把门关上! 作者:41秒哥 标签:#语录

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The Devs

@thedevs · Post #1159 · 06/29/2018, 06:52 PM

A plain English introduction to JSON web tokens (JWT): what it is and what it isn’t. #article#jwt#security#coding#js @thedevs https://kutt.it/ibVW1N

djangoproject

@djangoproject · Post #389 · 07/21/2017, 03:12 PM

https://thinkster.io/topics/django Looking to build #fullstack apps with #Django? Looking to build a production ready Django #JSON#API? Building a Production Ready Django JSON API 🔸Setting up #JWT Authentication 🔸Profiles 🔸Articles 🔸Comments 🔸Following 🔸Favoriting 🔸Tagging 🔸Pagination 🔸Filtering 🔸Conclusion Configuring Django Settings for Production Building #Web#Applications with Django and #AngularJS 🔸Learning Django and AngularJS 🔸Setting up your environment 🔸Extending Django's built-in User model 🔸Serializing the Account Model 🔸Registering new users 🔸Logging users in 🔸Logging users out 🔸Making a Post model 🔸Rendering Post objects 🔸Making new posts 🔸Displaying user profiles 🔸Updating user profiles 🔸Congratulations, you did it!

GitHub Trends

@githubtrending · Post #15066 · 08/16/2025, 12:30 PM

#python#agents#ai#api_gateway#asyncio#authentication_middleware#devops#docker#fastapi#federation#gateway#generative_ai#jwt#kubernetes#llm_agents#mcp#model_context_protocol#observability#prompt_engineering#python#tools The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure. https://github.com/IBM/mcp-context-forge