Hello friends, What is your favorite programming language? Why?

Hello friends, Can I ask you a question? What is your main goal? What are you focusing on right now? 1. Share your goal below 2. Find someone with a similar goal and reply to him or her Let's support each other in this community! 🫡 Mischa

GPT-5 launched this week with the usual fanfare and “revolutionary breakthrough” claims. ​ The reality? “Overdue, overhyped and underwhelming” – that’s how AI researcher Gary Marcus described it just hours after launch. ​ THE BRUTAL X REALITY CHECK Within hours of the GPT-5 livestream, prediction markets told the real story. OpenAI’s chances of having the best AI model dropped from 75% to 14% in one hour. Users on X flooded the platform with harsh reactions. They called it a “huge letdown,” “horrible,” and “underwhelming.” GPT-5 even gave wrong answers when asked to count letters in “blueberry.” ​ WHY AI AGENTS WILL NOT REPLACE YOUR DEVOPS WORK, FOR NOW Gary Marcus predicted exactly what we’re seeing. His analysis shows why AI agents pose zero threat to DevOps professionals. The key issue is that current AI systems work by copying patterns, not real understanding. Marcus calls this “mimicry vs. deep understanding.” AI can copy the words people use to complete tasks. But it has “no concept of what it means to delete a database.” This matters for DevOps work. When you debug a networking issue between services, you don’t just run commands. You form ideas about how systems behave under load. ​ An AI might know kubectl get pods syntax. But it doesn’t understand why pod networking fails. It doesn’t grasp what this means for other services in your environment. ​ Marcus notes that complex tasks involve multiple steps. DevOps work has many steps: deploy, monitor, check results, maybe rollback. And this is why AI agents are not going to replace us anytime soon. Large Language Models (LLM's) are relatively simple input-output systems. They are useful, but the problem is that their output is unreliable. So far it is nearly impossible to make an LLM reliably give the same output in the same format, especially when the input can vary wildly. Since DevOps work at its core always has complex tasks with multiple steps, one mistake in the chain could cause a system-wide outage.

I've been running Arch Linux since start of this year and I've loved it. I previously had Fedora 32 and got frustrated because it kept breaking. Before that i was a SUSE guy (still love that distro) but that had issues too. Decided to try Arch and oh wow! it has been the most stable Linux distro i have ever run and there's probably an answer in the Arch wiki for most problems. Only issue i had was getting Wayland and Hyperland working. Then i discovered Omarchy. its essentially an install script but i think with their latest release its no also a full distro. Its the stability of Arch with Wayland+Hyperland working! I still recommend learning to do a proper Arch install, but if you have time or are just curious take a look at Omarchy. One other thing from using Ormarchy i was inspired so i'm currently learning how to write my own install and setup script.

Two KubeCraft members just landed DevOps roles. Here’s what they did and what you can copy. ​ Jakub (Helpdesk → DevOps Engineer 60 days after joining KubeCraft) - Built Arch Linux from scratch (multiple times) - Stood up a full Kubernetes homelab - Earned Azure Administrator (AZ‑104) - Practiced 10+ hrs/day for 2 months Result: Offer after 1 month of searching. Interviews felt easy because he’d already implemented the stack. ​ Get the KubeCraft Career Accelerator + mentorship → GO HERE ​ ​ Milan (QA → DevOps/Platform via internal) - Installed Arch the hard way; built K8s homelab - Earned LPIC‑1, polished LinkedIn (500+ connections) - Blogged on Substack/X; applied internally with warm relationships Result: Offer signed. Internal move unlocked by skill + visibility. The pattern: - Ship real builds (Linux, K8s, Terraform, CI/CD, Git, Python) - Show proof of work; raise belief and confidence - Pick the right path (external vs internal) and go all‑in We opened 5 September start spots to mentor the next wins. See if you’re a fit → APPLY NOW ​ P.S. Watching tech tutorials will not land you jobs. We teach you how to market yourself and how to handle interviews with confidence. If you’re sick of getting rejected, APPLY HERE to see if you qualify for our mentorship.