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Canale sorgente @WritingWay · Post #1012 · 18 set

Trovare e mettere in atto la propria Visione è ciò che rappresenta di solito il cambiamento nell'esistenza di ciascuno di noi: da una situazione di insoddisfazione alla presa di consapevolezza dei nostri più veri obiettivi. La scrittura è di supporto in questo viaggio. Ma come s'innesca la ricerca della propria Visione? E come si mette in atto in modo concreto? Ne parlerò sulla mia pagina fb (https://www.facebook.com/alesperotti), in diretta, questa sera alle 18 con Carina Fisicaro, Founder di Donnaon. Sono certa che sarà un tempo prezioso e arricchente. #intervista#vision

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Cerca: #jwt

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The Devs

@thedevs · Post #1159 · 29/06/2018, 18:52

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 · 21/07/2017, 15:12

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 · 16/08/2025, 12:30

#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