Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th
I was out walking with my dog Dexter, daydreaming on the first properly warm day of the year. I was lost in my own mind mulling over a conversation I'd had with a fellow Game Developer about how we've adapted to the use of AI as software engineers. None of the existing labels fit. "Vibe coding", Karpathy's term, elicits a culture of care-free one-shotting with little to no regard for the code qual
If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. The AI feature is only as good as the UI around it. A powerful diagnosis that's hard to trigger, slow to show, or confusing to read doesn't get used. Here's what I learned from iterating on HiyokoLogcat's AI button. Inline with the content, not in a toolbar. My first version had an "AI Diagnose" button in the
A* looks simple until you implement it. Then one question appears: Why does this algorithm find good paths without checking every possible path? The answer is its scoring structure. A* does not only ask, “How far have I moved?” It also asks, “How far do I probably still need to go?” A* is a shortest-path search algorithm. But it is not blind search. It combines: the real cost so far the estimated
We are no longer just writing code; we are engineering intent. This is the essence of Prompt Engineering. At its surface, prompt engineering is the art of crafting inputs to get the desired output from an AI. But looking under the hood, it is a sophisticated form of Informed Heuristic Search. When you send a prompt to a model like GPT-4, Claude, or Llama, you aren't just "asking a question." You a
The Vision The Problem Stack Analytical Blind Spots: Missing shot mechanics and ball trajectories. Fan Isolation: Latency in shared match experiences. Stadium Chaos: Fragmented gate and crowd management. Quality Control: Zero transparency in stadium hospitality. The Architecture (GSoC 2026 Focus) Frontend: React + Vite for lightning-fast performance and atomic design. Backend & Auth: Firebase for
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 !