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https://michaelwashburnjr.com/django-user-authentication/ User #Authentication with #Django_REST_Framework User Authentication is a simple concept, but when it comes to properly implementing it in Django, things can get complicated. Django offers an abundance of different authentication mechanisms: BasicAuthentication, TokenAuthentication, SessionAuthentication, and various ways to implement custom authentication mechanisms.

🔥 Anthropic says its #Claude model found 22 Firefox vulnerabilities while scanning ~6,000 C++ files with Mozilla. 14 were high-severity. Turning bugs into exploits proved harder: after hundreds of attempts, the AI succeeded only twice. 🔗 Read → https://thehackernews.com/2026/03/anthropic-finds-22-firefox.html

Using the Django authentication system This document explains the usage of Django’s #authentication system in its default configuration. This configuration has evolved to serve the most common project needs, handling a reasonably wide range of tasks, and has a careful implementation of #passwords and #permissions. For projects where authentication needs differ from the default, #Django supports extensive extension and customization of authentication. https://docs.djangoproject.com/es/1.11/topics/auth/default/

🛑 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://www.django-rest-framework.org/api-guide/authentication/#tokenauthentication #Authentication is the mechanism of associating an incoming request with a set of identifying credentials, such as the user the request came from, or the token that it was signed with. The permission and throttling policies can then use those credentials to determine if the request should be permitted. #REST framework provides a number of authentication schemes out of the box, and also allows you to implement custom schemes. #Django_REST_Framework#Django#DRF

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