I run 45 AI agents across 3 machines โ laptop, mini PC & cloud server. What used to take me 1-2 weeks now takes hours. The hard part isn't running agents anymore. It's SEEING what they're all doing. Here's how I manage my agent fleet ๐งต https://youtu.be/aTB4Iou5YfU
Viktor Farcic
Keep your AI agents local, rent the overflow. I tested running agents on cloud VMs without leaving Claude Code โ here's what worked, what didn't, and why the tool you work in matters. ๐งต https://youtu.be/s-XCTNf06XQ
Pen testing happens once a year (if at all), costs a fortune, and the report arrives after you've shipped 12 more releases. What if an AI did it on every release for pennies? ๐ https://youtu.be/dJv_f4w8ZAA
Heroku shipped your entire platform team's roadmap in 2011. Finished. Priced. Documented. You can still sign up tonight in under a minute. Your platform team is going to build it anyway. ๐งต New video: youtu.be/3CLrqv6ZtW8 #Heroku #DevOps #PlatformEngineering
Autoscaling LLM inference isn't reacting to traffic; it's forecasting it. Your replica takes 10+ min to arrive. By then, the spike is history. https://youtu.be/wwrPwU-JCMw
Stack Overflow taught a generation to copy, paste, and take the credit. Now it's fading. The story of how it rose, why it worked, and what killed it. New video ๐ youtu.be/muT3BZQmLhI #StackOverflow #AIcoding #techhistory
Inference is a memory management problem, not a compute one. Your GPU almost never runs out of arithmetic first. It runs out of room to hold conversations. And your engine already tells you the exact ceiling at startup โ before a single request arrives. ๐งต https://youtu.be/g_5g1hBmAzA
Jenkins never said no. Not once. That's why it's still running in your company right now, and why nobody can switch it off. The nightmare isn't that it died. It's that it didn't. ๐งต๐ฏ๏ธ #DevOps #Jenkins #ContinuousIntegration youtu.be/LbxQqAuQ4Xk
Continuous batching. Paged attention. Prefix caching. Speculative decoding. 12 inference ideas, a couple of minutes each, one pass. ๐งต๐ https://youtu.be/MVo3P-D7eSc
What do CFEngine, Puppet, Chef, Ansible, Terraform & Crossplane all have in common? Same job. Different name. Five arguments. Five generations certain they were inventing something new. New video โ go watch. ๐ฐ https://youtu.be/TF5iJbAb6Xc
Strongly recommend checking out the Observability in the AI-Native Era book (packt.link/aYRZy). When it comes to observability, Hilliary, Andreas, and Robert know what they're talking about.
A bad test doesn't fail. It passes. And now you're sure about something that isn't true. This is the hidden danger of AI-generated tests that will bite you. ๐งต https://youtu.be/6yp-JrbZYYg
Docker won the internet. Every cloud, every pipeline, every deployment runs on its idea. But the company that built it? A ghost. The scariest stories aren't about failing; they're about winning so completely your victory floats away without you. ๐ณ https://youtu.be/kmLztKueTcI
AI agents can do your ops work. But a non-deterministic swarm with full cloud credentials and no guardrails? That's a loaded gun pointed at prod. Here's how to put it on a leash ๐งต๐ https://youtu.be/G6J2Z2fhlUo
There's no patch for prompt injection. It's not a bugโit's how the models work. The real question: when it happens, how much damage can it do? New video on sandboxing AI agents so you can walk away and still sleep at night. ๐ https://youtu.be/tWb7v7Nq808
What if your tests read like a spec doc AND never needed babysitting? DevAssure lets you write plain-English YAML, commit it to your repo, and an AI agent clicks through your app like a real user. Zero selectors. Zero page objects. https://youtu.be/bNJoeSXUdQg
Going live with AMA (after a few weeks break)! Ask anything. youtube.com/live/OBG4MJD...
The hardest part of fleet-scale inference isn't the model โ it's the matchmaking. Which model runs on which GPU, across which cluster? Modelplane's scheduler handles all of it automatically. New video out now ๐ #AI #DevOps #Kubernetes https://youtu.be/Mc0BM63Pv00
I review entire AI-built features without reading a single line of code. My agents record their own tests as video clips. I watch a short reel, confirm it works, hit merge. Two gates. Total autonomy in between. ๐งต https://youtu.be/03VwVUadsRM
My last task before bed isn't wrapping up. It's kicking off the NEXT round of work for my AI agents. They build while I sleep. I ship while they work. The cycle never stops. ๐โก๏ธโ๏ธ youtu.be/DxZHsMu3NU0 #AIAgents #DevAutomation #AgentDeck
The AI agent server stack that actually works: โ Cheap PC (~$900, one-time) โ Ubuntu Server โ Terminal agents (Claude Code, Codex) โ Tailscale + tmux โ Devbox + vals Full video breakdown ๐ฅ https://youtu.be/tCEhU9bQ-XY
A dummy is a dummy, no matter whether they're using AI or not. AI agents are amplifiers. If you're good at your job, they make you better. If you're not, they help you cause a shitstorm at scale in minutes. https://youtu.be/_j4epp_MqF4
You're not a coder anymore. You're the CTO of a company where everyone else is a model. Your job: write tight PRDs, set direction, approve the big calls. The agents handle the rest ๐ https://youtu.be/ZIWWDDu02Ik
The fix for broken code review isn't hiring more reviewers. It's flipping the ORDER. AI first โ humans second. By the time a person opens the PR, the noise is already gone. Only the real judgment calls remain. Full breakdown in my latest video: https://youtu.be/KyodvaYemxM
I run multiple AI agents with different models โ Opus as orchestrator, GPT as coder, Kimi as reviewer. OpenRouter makes this effortless. One gateway, full flexibility, real cost visibility. Here's the setup ๐ https://youtu.be/YKCJwk6xLwA
The gap between 'something broke' and 'I know what's wrong' just got much smaller. AI agents reading your metrics, logs & traces directly = faster incidents, less tab-switching. โก youtu.be/HI6KleJAZPY #Grafana #AIObservability #ClaudeCode
Stop thinking about AI coding tools. Start thinking about AI management styles. 4 modes: assist, approve, observe, delegate. The tool should follow the mode โ not the other way around. youtu.be/7ME4R__IlLg
The question isn't whether AI replaces creative work. It's which side you're on. Orchestrators sit next to their files, run proper agents, and plug in specialized tools (like Higgsfield). Everyone else gets replaced by them.๐ youtu.be/H8vcbLTBhco #AIVideoGeneration #MCPIntegration #ClaudeCode
Running 5 AI agents in parallel changes everything. You stop being a software engineer and become a project manager, tech lead, and architect all at once. Your team just happens to be made of AI. ๐ youtu.be/dNmaFkOVIa8 #AIAgents #TerminalTools #AgentDeck
MCP vs CLI for AI agents: which wins? Spoiler: it depends on server design. A lean 8-tool MCP server? Great. A 50-tool monster with full schemas? You've lost tens of thousands of tokens before asking anything. Full breakdown. youtu.be/TuIZoFyBKIM
Looking forward to your questions in tomorrow's Ask Us Anything session. youtube.com/live/foxo6r2...
AI Won't Kill Your Job. Your Customers Using AI Will. Your job isn't at risk because AI can write code. It's at risk because AI can help your CUSTOMERS write code. The most important career question of 2026: does your company SELL software, or USE it? youtu.be/Z-ZnXPlrZME
The bottleneck moved. Code is now cheap and abundant. AI generates it faster than any human. The scarce resource? Architecture, context, verification, judgment. youtu.be/sDy55DIkIJ0
The gap between a generic coding assistant and an AI agent that truly understands YOUR company is enormous. Here's the complete blueprint for building custom AI agents: system context, tools, knowledge retrieval, security, and cost optimization. youtu.be/98yYcWwD95I
We're live! Ask anything about anything. youtube.com/live/EA93bbI...
Fixed replicas are always wrong. You're either wasting resources or under-provisioned. Here's how to build Kubernetes autoscaling that goes from 0โ5 replicas based on actual traffic, using tools you probably already have. youtu.be/K0aaB2L3sXI
Built AI inference platform using Kubernetes + Crossplane. One custom resource = any team can deploy a model. No GPU expertise required. Your data never leaves your network. Full walkthrough: youtu.be/odZ4WclCX5s
Goodbye ghostty.org. You'll keep running on my machines forever, but I will never see you again.