Prof Codeur @prof_codeur
Prof d’archi en lycée, ex-ingé. Corrige les copies le jour, corrige les bugs la nuit. France Joined October 2011-
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@Eloise1041955 Hostinger avec coolify préconfiguré !
@Eloise1041955 Oui plusieurs boîtes, donc plusieurs noms de domaines si tu fais ça sérieusement.
@TheoremeAutumn @nsi_xyz Et si besoin d’une base de données, supabase c’est bien aussi. N’hésite pas à m’envoyer un message si tu as des questions.
@nsi_xyz J’enlèverais les cartes avec les statistiques personnellement. C’est un gros défaut des LLM je trouve. Et bien souvent ça alourdit l’UI sans apporter grand chose à l’utilisateur. Mais bravo sinon !
@TheoremeAutumn @nsi_xyz Avec vercel ou un vps + coolify (il faut un peu s’y plonger mais vraiment pas compliqué)
@mo_alani_yes Oui et j’ai totalement régressé 🥲
@medina_crewz @bernathoustra @CharlesConsigny « Fallait bosser à l’école » 🤡 Pour donner des cours en amphi à la fac, je pense que c’est ce qu’il a fait et plutôt bien.
@tkloczko1 @CyniqueDeGauche @un_pedago Ça englobe beaucoup plus que du simple par cœur. Ça peut être apprendre des informations du cours mais aussi des méthodes de résolution pour les connaissances procédurales (en gros s’entraîner sur des exercices). On est loin de la récitation mot pour mot du cours.
@k7558k Il a raison, les premières années c’est plutôt 60h
@Banlieuedeprof J’ai eu l’âge aujourd’hui. Ils me donnent 3 ans de plus 🥲
@percheun Punaise mais c’est pourtant pas compliqué. Juste en se basant sur Sweller et Rosenshine tu as déjà une bonne base. Un peu de testing effect par dessus et en avant !
@LacarotteMarine @manugo71 @Anatidess Oui et j’imagine que ça n’entre pas dans les statistiques de démissions qui plus est.
@archiptere Et encore, ce ne sont pas des plans d’exe d’entreprises.
@stevebissonnet4 je me posais la question de savoir si les résultats du Maroc à Pisa seront représentatifs des réformes que vous avez mises en place (assez de recul ?). Très curieux d’avoir les résultats !
China published the most uncomfortable paper on vibe coding. ETH Zurich tested 100 developers in a controlled, commercial-grade vibe coding environment to see who actually succeeds. The findings are brutal. The researchers tracked computer science achievement, written communication skills, and general cognitive reasoning. They wanted to see what actually predicts vibe coding proficiency when you never touch a line of source code yourself. Two major predictors emerged. Written communication proficiency mattered. The ability to structure thoughts and articulate intent unambiguously in text directly impacts what the AI builds. But that wasn't even the main takeaway. Computer science achievement was a massive, dominant predictor of success. Even when researchers controlled for general intelligence and reasoning skills, CS background still heavily dictated who built working software and who completely crashed. In fact, CS knowledge contributed roughly twice the unique predictive variance of writing skills alone. Why? Because vibe coding isn't about writing code. It’s about debugging logic. When an AI agent builds a complex application and quietly breaks an edge case under the hood, a non-technical user looks at the glowing UI and assumes it works. They don't know what questions to ask. They don't know what logic to challenge. They lack the mental models to recognize architectural catastrophe. You can prompt your way past syntax. You cannot prompt your way past a fundamental lack of engineering intuition. The hype told us that learning to code is dead because language is all you need. The data just proved the opposite. To truly master the vibe, you still need to understand how the machine thinks.
@RayaneRachid_ Ce que j’aime le moins c’est qu’il explicite tout dans l’UI
@gchampeau @John_Jeffraie La feinte c’est de mettre un contrôle à tous les cours. Les publications montrent que des contrôles très réguliers améliorent énormément l’apprentissage (testing effect). Si c’est trop lourd pour les corrections, il suffit de ne pas tous les noter.
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