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 !
I've been on both sides of the data engineering hiring table for years. I've written interview loops, failed interview loops, and watched candidates ace screens that told me absolutely nothing about whether they could debug a silent data loss bug at 2am. The signal was always thin. Now it's basically noise. Here's the situation in 2026: 64% of companies ban AI in interviews. Candidates use it anyw
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