http://www.rasadacrea.comrss feed aggregated news on web services and technologies by RasadaCrea France : Category en_web training coursesFri, 21 Aug 2026 15:31:34 GMTPyRSS2Gen-1.0.0http://blogs.law.harvard.edu/tech/rsshttps://www.djangoproject.com/weblog/2026/aug/20/dsf-membership-open-space-at-djangocon-us/If you are at DjangoCon US this year, join us for 45 minutes to talk about the Django Software Foundation. What: Django Software Foundation Membership Open Space When: Wednesday, August 26th, 1:00 pm to 1:45 pm Where: Wolf Point Ballroom, voco Chicago Downtown Schedule: Talks: Wednesday, Aug 26 DSF Board Directors Jeff Triplett, Abigail Afi Gbadago, and Paolo Melchiorre will be there, along with Django Fellows, Steering Council members, and other DSF members. This is an open space, not a talk. Pull up a chair and bring your questions. What We Want to Talk About Fundraising and finances. We raised our 2026 goal to $500,000. We'll cover what it funds, most of it the Django Fellows, and how we are tracking against it. If your company depends on Django, or you know one that does, ask us about corporate membership and sponsorship. The Executive Director search. The DSF is hiring its first Executive Director, and applications are open through midnight Central Time on September 14, 2026. If you are thinking about applying, or know someone who should, ask us about the role. Membership. How individual membership works, how people become members, and what members do. Members vote in DSF elections, and we would like more .. cntdFri, 21 Aug 2026 02:11:52 GMThttps://belderbos.dev/blog/ai-skill-atrophy-keep-the-friction/Cal Newport's On AI Coding and Its Discontents lands on an uncomfortable point: the speed AI gives you is paid for with the thinking that made us good engineers in the first place. Read code instead of writing it and you get passive recognition where you used to have an active model of the code. The vendors sell one answer to this: more AI. The nostalgic answer is the opposite: go back to writing everything by hand. I am searching for a midway. No right answer, but at least a direction to pursue When I posted about this recently, I offered 3 options: write more code manually, double down on AI, or find some middle with more friction. I got some valuable comments from developers picking the middle. And that's where I've landed too. The more I read and think about it, the more the middle stops looking like a compromise. It seems the way forward, but only if you specify what friction to keep. Skill atrophy isn't caused by using AI per se. It's caused by delegating the part that builds your internal model. I've argued that the friction is where the learning lives , and nothing about agents changes that. What changes is that it's now easier to bypass friction and it's on us to keep it in. It helps to separate two problems .. cntdTue, 18 Aug 2026 00:00:00 GMThttps://blog.jetbrains.com/pycharm/2026/08/we-gave-ai-agents-a-live-jupyter-kernel-in-pycharm/If you've handed notebook work to an AI agent, you know how it tends to go: More often than not, it corrupts your .ipynb, loses your trained model the moment the run finishes, or burns budget sitting idle through a long job while you watch. To solve this, we're introducing a brand-new Jupyter skill. Built directly into PyCharm, it lets your AI agent work inside a live Jupyter kernel instead of handing the job to a subprocess and losing your progress. This one change means state persists across cells, the .ipynb isn't corrupted, and long jobs wait until execution is completed instead of constantly checking and wasting precious tokens. JUPYTER SKILL FOR PYCHARM A live kernel made Opus cheaper than the shell. 12% cheaper Claude Opus 5 across 12 ML tasks Kernel USD 59.09 Shell USD 67.06 12 ML tasks 98% cache reads State persists across cells For Opus, the kernel ran cheaper than the shell We tested the efficiency of the Jupyter skill by comparing the performance of agents when solving twelve different machine learning problems. We compared three different modes: strictly using bash, strictly using the kernel via the Jupyter skill, and a mixture of both. While the agent was able to solve .. cntdWed, 12 Aug 2026 12:00:34 GMThttps://www.journaldunet.com/intelligence-artificielle/1552329-avec-l-evolution-de-l-ia-l-adaptive-learning-peut-tenir-enfin-ses-promesses/Avec l'IA générative et agentique, l'adaptive learning devient enfin concret : diagnostic, personnalisation à grande échelle et inclusion pour la réussite de tous les étudiants.Mon, 06 Jul 2026 09:38:04 GMThttps://www.journaldunet.com/management/formation/1552127-pourquoi-le-recrutement-par-concours-va-ruiner-l-administration-en-2026/Une critique pragmatique du modèle des concours administratifs. L'article démontre que les épreuves académiques actuelles ne répondent plus aux réalités du terrain. Il propose de valoriser l'intellige.Thu, 02 Jul 2026 08:55:39 GMT