This workflow is focused on coding using ONLY free AI tools + browser-based assistants. The idea is simple: Core Strategy Instead of paying for one AI coding assistant, you rotate between: Cursor (free tier) for agentic coding GitHub Copilot (free tier / limited access) Windsurf (free tier) Browser-based Claude (for complex reasoning) ChatGPT (free tier fallback) Gemini (free tier fallback) DeepSe
Tout le monde sait maintenant. Rust est un langage de développement natif et moderne. Et pourtant il ne contient pas d'héritage à proprement parler 🫢 Je vous explique pourquoi, et surtout comment palier aux problématique de polymorphisme et d'encapsulation en 4 minutes dans cette vidéo !
Generative AI is no longer just an emerging technology. It is becoming a core business capability across software development, customer support, analytics, content generation, automation, knowledge management, and enterprise productivity. For cloud professionals, developers, data teams, and solution architects, learning Generative AI on AWS is now a high-value career move. AWS provides a growing e
Today, the frontend starts. Day 91 was the most infrastructure-heavy day on the Next.js side, not because of what's visible, but because of what everything else depends on. The Axios instance with JWT interceptors, the auth context, protected routes, and the login and register pages. By the end of today, a user can register in the browser, be redirected to a dashboard, log out, log back in, and ha
The Model Context Protocol has transformed how we connect AI to tools. But connecting agents to tools is only half the battle — connecting agents to each other is where the real challenge begins. I recently read @raviteja_nekkalapu_'s excellent article "I built an AI security Firewall and made it open source because production apps were leaking SSNs to OpenAI" and it resonated deeply with challeng
When stepping into the world of data engineering, Apache Airflow is likely one of the first tools you will encounter. It is the industry standard for programmatically authoring, scheduling, and monitoring workflows. Before building our first DAG, it's important to know what has changed in Airflow 3.1.0. Initially, Airflow users imported DAGs and tasks from airflow.models and airflow.decorators. I
Most developers don’t trust AI. Until it writes code that works. Then suddenly… they do. You paste a prompt. You move on. No deep review. No second guessing. Because it looks right. That’s the moment trust creeps in. AI-generated code isn’t the real issue. We assume: the logic is correct the inputs are handled safely the dependencies are fine the security is “good enough” But AI doesn’t know your
A deeply-synthesized, opinionated reference distilled from five canonical sources: donnemartin/system-design-primer · ByteByteGoHq/system-design-101 · karanpratapsingh/system-design · ashishps1/awesome-system-design-resources · binhnguyennus/awesome-scalability Use it as: a study guide for interviews, a checklist for design reviews, and a vocabulary for cross-team discussions. 📖 How to Use This