You know this feeling: You open a new repository, read the README, click five files, open the wrong folder, find a second entry point, and ten minutes later you still cannot answer a basic question: What should I read first if I want the real shape of this codebase? That is the moment spine is built for. spine is a small onboarding tool that scans a repository, finds a verified architecture spine,
Optimisation HLS pour DOMTOM Ce dépôt documente une approche orientée ingénierie réseau pour optimiser la distribution HLS (HTTP Live Streaming) dans les territoires DOMTOM. L’objectif est d’améliorer la stabilité de lecture, la latence effective et la robustesse face aux variations de gigue, tout en respectant les contraintes de décodage client, de parsing de manifestes, et de routage ISP. Pers
CKS Study Memo on Network Policies official document: https://kubernetes.io/docs/concepts/services-networking/network-policies/ You can control traffic between pods using the NetworkPolicy resource. In the sample manifest, the selectors are written like this. ingress: - from: - namespaceSelector: matchLabels: user: alice - podSelector: matchLabels:
Contournement du flux vidéo FAI DOMTOM — FAQ Développeur (réseau, protocoles, parsing) Point de vue : cette FAQ est rédigée du point de vue d’un ingénieur logiciel/réseau traitant la couche transport, le routage ISP, la signalisation de session et la reconstruction applicative (parsing, dé-multiplexage, adaptation de manifestes), spécifiquement dans des contextes DOM-TOM où les chemins d’achemi
Introduction It’s a wonderful time to be a developer with rich tools, documentation, and artificial intelligence. Still, at least for now and the foreseeable future, developers must learn to write code, as artificial intelligence tools are not perfect and may produce code that is difficult to integrate into an existing code base. For developers just starting out, they need to learn the basics, t
What two weeks of Moodle import errors taught me about right-sizing roles Two weeks of debugging. Every single failure was XML. Not the AI. XML! I build Python-based deployment pipelines for professional certification programs delivered on Moodle. Course content is authored by Team 1 — a group of AI agents working alongside a subject matter expert who stays in the loop as a human reviewer. Call
The aviation industry has a term that should terrify every developer leaning on AI coding tools: automation complacency. Pilots figured out decades ago that the more you rely on autopilot, the worse you get at actually flying the plane. And when the autopilot fails — because it always eventually does — you'd better hope your manual skills haven't atrophied. We're living through the exact same tran