These projects teach more than 100 hours of tutorials 🐍

CI/CD Learning Plan (Let's Start)

Learning Docker & Kubernetes (K8s) Visually Docker: x.com/techyoutbe/status/2013… Kubernetes: x.com/techyoutbe/status/2014…

Looking forward to taking our exciting partnership with Nvidia to the next-level

L'IA n'est plus seulement une #technologie, c'est un enjeu géopolitique linkedin.com/pulse/quand-un-… #IntelligenceArtificielle #AI #Anthropic #Claude #Innovation #TransformationDigitale #Cybersecurity #Tech #Leadership #SouveraineteNumerique #GenerativeAI

One API. Send messages on all channels.

We've just added two new Claude Managed Agents features: 1. Scheduled deployments - run tasks on a schedule 2. Environment variables - expose vault credentials for CLIs as environment variables

BREAKING: Claude Fable 5 can now build full mobile apps like a $350K Apple developer… for free. These 10 prompts replace weeks of planning, UX, and coding. (Save this before everyone else catches on)

This tutorial shows how to test Kubernetes deployments and operators from Java on real clusters without heavy boilerplate by using kubetest4j on top of the Fabric8 client ➤ ku.bz/32PlVg1Ss

linkedin.com/pulse/anthropic… #IntelligenceArtificielle #Anthropic #Claude5 #TechInnovation #Productivite #FuturDuTravail

Claude Fable 5 is our first generally available Mythos-class model. It ships with new safety classifiers that may flag certain prompts in dual-use domains like cyber and bio. We've added fallbacks: a refused request retries on Claude Opus 4.8 instead of dead-ending.

#IntelligenceArtificielle #IA #GenerativeAI #TransformationDigitale #Innovation #Productivite #Leadership #Tech #CTO #Entreprise linkedin.com/posts/tchiebley…

Google released Gemma 4 12B, a multimodal model that runs text, images, and audio on 8GB VRAM! We'll fine-tune it to master chess and predict the exact next move. Tech stack: - @UnslothAI for efficient fine-tuning. - @huggingface transformers to run it locally. Let's go! 🚀

Google just dropped a new LLM! You can run it locally on just 8GB RAM. Let's fine-tune this on our own data (100% locally):

Designed to blend beautifully with your vibes 🍃 #GoogleNest Doorbells stand out by fitting right in. And they’re built from 45% recycled materials.¹ Find the Nest you love best goo.gle/4u1O0PB ¹Based on product weight (includes in-box accessories).

SpaceX IPO info

Andrej Karpathy just explained the future of software engineering without directly saying it. The best AI engineers are no longer “prompting.” They’re building systems around the agents. Karpathy’s biggest insight wasn’t: “Claude can code.” It was: LLMs become dramatically better when you force them into disciplined workflows. That’s why "CLAUDE.md" files are suddenly everywhere. Not because they’re prompts. Because they behave like an operating system for the agent. Karpathy called out the exact problems with AI coding: - models assume instead of asking - they overengineer simple tasks - they hide confusion - they rewrite unrelated code - they optimize for completion, not correctness So developers started encoding rules directly into the workflow: → Think before coding → Simplicity first → Surgical edits only → Goal-driven execution And the results are wild. People are now running multiple Claude Code agents in parallel like engineering teams: • one agent researching • one debugging • one writing tests • one optimizing code • one validating outputs Not “AI assistance.” Actual orchestration. And this part from Karpathy changes everything: “Don’t tell the model what to do. Give it success criteria and let it loop.” That is the shift. From: “write this function” To: “here’s the goal, constraints, tests, and verification system — now iterate until correct.” The craziest part? This already feels like a phase shift in engineering. A lot of developers quietly went from: 80% manual coding → to 80% agent-driven coding in just months. Not because AI became perfect. Because the leverage became impossible to ignore. We’re entering an era where the highest leverage engineers won’t necessarily be the best coders. They’ll be the people who build the best systems around AI agents.

The Kubernetes v1.37 Release Schedule is officially out! 🚀 A huge thank you to the Release Team for getting the timeline structured. 📅 Check out the key dates here: 👉 github.com/kubernetes/sig-re…

AWS isn’t learned by reading docs. It’s learned by building. Here are 7 beginner-friendly AWS projects you can actually finish 👇