Viktor Farcic

Viktor Farcic

@vfarcic.bsky.social

1K followers29 following242 posts

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 ๐Ÿงต https://youtu.be/aTB4Iou5YfU

youtu.beYouTube VideoI 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 ๐Ÿงต https://youtu.be/aTB4Iou5YfU

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. ๐Ÿงต https://youtu.be/s-XCTNf06XQ

youtu.beYouTube VideoKeep 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. ๐Ÿงต https://youtu.be/s-XCTNf06XQ

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. ๐Ÿงต https://youtu.be/g_5g1hBmAzA

youtu.beYouTube VideoInference 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. ๐Ÿงต https://youtu.be/g_5g1hBmAzA

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. ๐Ÿฐ https://youtu.be/TF5iJbAb6Xc

youtu.beYouTube VideoWhat 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. ๐Ÿฐ https://youtu.be/TF5iJbAb6Xc

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. ๐Ÿณ https://youtu.be/kmLztKueTcI

youtu.beYouTube VideoDocker 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. ๐Ÿณ 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 ๐Ÿงต๐Ÿ‘‡ https://youtu.be/G6J2Z2fhlUo

youtu.beYouTube VideoAI 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 ๐Ÿงต๐Ÿ‘‡ https://youtu.be/G6J2Z2fhlUo

There's no patch for prompt injection. It's not a bugโ€”it'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. ๐Ÿ”’ https://youtu.be/tWb7v7Nq808

youtu.beYouTube VideoThere's no patch for prompt injection. It's not a bugโ€”it'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. ๐Ÿ”’ 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

youtu.beYouTube VideoWhat 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

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 ๐Ÿ‘‡ #AI #DevOps #Kubernetes https://youtu.be/Mc0BM63Pv00

youtu.beYouTube VideoThe 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 ๐Ÿ‘‡ #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. ๐Ÿงต https://youtu.be/03VwVUadsRM

youtu.beYouTube VideoI 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. ๐Ÿงต https://youtu.be/03VwVUadsRM

The AI agent server stack that actually works: โœ… Cheap PC (~$900, one-time) โœ… Ubuntu Server โœ… Terminal agents (Claude Code, Codex) โœ… Tailscale + tmux โœ… Devbox + vals Full video breakdown ๐ŸŽฅ https://youtu.be/tCEhU9bQ-XY

youtu.beYouTube VideoThe AI agent server stack that actually works: โœ… Cheap PC (~$900, one-time) โœ… Ubuntu Server โœ… Terminal agents (Claude Code, Codex) โœ… Tailscale + tmux โœ… Devbox + vals Full video breakdown ๐ŸŽฅ 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

youtu.beYouTube VideoA 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

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

youtu.beYouTube VideoThe 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 ๐Ÿ‘‡ https://youtu.be/YKCJwk6xLwA

youtu.beYouTube VideoI 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 ๐Ÿ‘‡ https://youtu.be/YKCJwk6xLwA