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
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Source channel @githubtrending · Post #15137 · Sep 12
#typescript#design#docs#gatsby#handbook#posthog#tailwindcss PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams. https://github.com/PostHog/posthog.com
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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