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05.03.2026 18:55
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"Just use a Mac Studio!" Sure—it'll run a trillion-parameter model about 100x slower than H100s. A Mac Mini can't even fit it in memory. Stop romanticizing self-hosting and look at the actual numbers. New video is live. 🍎💀
https://youtu.be/pWtDTkfNaUU
Commands, MCP tools, Skills, Subagents, Hooks, Plugins, Memories... 🤯
Every week there's a new way to extend coding agents.
Let's cut through the noise and explain what each actually does, how they work under the hood, and which ones you should actually use.
https://youtu.be/xAIN7YHXfCY
Me: "Find all databases in the cluster"
kubectl: *struggles through 356 API definitions*
Vector DB + AI: "Found PostgreSQL StatefulSet, CloudNativePG cluster, Qdrant, and an AWS RDS instance"
This is how K8s querying should work. New video shows how 👇
https://youtu.be/uUdbQkq5c4k
I got addicted to AI. Now I use it to dub my YouTube videos into other languages automatically. Built a CLI that handles everything - upload, dubbing, translation, scheduling. Here's how I integrated ElevenLabs API into my workflow 🎬
https://youtu.be/_tvKc9kKrhA
AI agents are unpredictable by design. The LLM decides the path, chooses tools, loops as needed.
You can't debug what you can't see.
Good news: OpenTelemetry tracing works for AI agents too. New video explains how.
https://youtu.be/Dh7jAYHcAlo
I wrote a simple prompt. Port's MCP provided the context. Claude Code did the rest. Result? A fully configured developer portal with K8s integration, GitHub sync, and self-service actions. AI + the right context = 🔥
https://youtu.be/6r6ITHCYZ3c
Most Dockerfiles in production are security nightmares: running as root, using :latest tags, copying secrets. Writing a good Dockerfile isn't hard, you just need to know the rules. Here's every best practice you need for production-ready containers 🐳
https://youtu.be/ueTe-VQaD7c
Your API is a product. Who's using it? Are they abusing it? Should they even have access? New video on API Management: developer portals, analytics, versioning, monetization with Zuplo review 😤
https://youtu.be/mOy2mhKE2_8
Ask Us Anything session starts in less than an hour.
youtube.com/live/glRuo5A...
2025: AI agents went from experiment to reality. 2026: Time to take them seriously. Here are the tools that survived real-world use—from Claude Code to the BACK Stack. 🔧🤖
https://youtu.be/65o_j4E7_lk
"What's the status of my app?" should be a simple question. In Kubernetes, it means checking Deployments, Ingresses, databases, PVCs separately. 😤 I fixed this with a Solution CRD that shows unified status for logical resource groups.
https://youtu.be/UEkhIMx6B6E
My team had everything: more money, more experience, control over the rules. But when AI entered the game, most refused to play. They sat on the bench yelling at those who tried. Sound familiar? ⚽🤖 Watch the full story:
https://youtu.be/ZEB2pKs2R-Q
Your logs show everything succeeded. Your metrics are green. But requests are still slow.
The problem? Each service only sees its own work. Distributed tracing connects the dots. 👇
https://youtu.be/Oa-zqv-EBpw
Stop wasting hours chasing down information that should've been provided upfront. Learn how to transform a chaotic repository into a well-organized project with clear processes & automated workflows.
https://youtu.be/gYl3moYa4iI
Going live...
Desktop: youtube.com/live/L4RZXAK...
Mobile: youtube.com/live/mKvsQW6...
See you all later today in this week's AMA session.
YouTube (desktop): youtube.com/live/L4RZXAK...
YouTube (mobile): youtube.com/live/mKvsQW6...
I wanted to love kagent for Kubernetes, but the UX is painful compared to Claude Code or Cursor 😬
Declarative agents = system prompts + tools + LLM. Nothing you couldn't build yourself in an hour.
Full breakdown of what works (and what doesn't) 👇
https://youtu.be/3jkGJvmUMYE
Stop trusting day-one AI reviews. I used Gemini 3 exclusively for a week on production code. Yes it's fast. Yes it's smart. But it ignores context, resists feedback, and declares victory while builds fail.
https://youtu.be/AUoqr5r1pBY
