How I Turned Scattered Workstations into a Super Agentic Setup

Welcome to my digital workspace, where I'm Moses Amani, a software apprentice embarking on an exciting journey into the world of Agentic Workflows. These workflows are fast-paced and intense, requiring a different approach than the traditional manual coding I was accustomed to. My goal isn't just to write code; it's to orchestrate production.

The Central Hub of my setup is my terminal, where I use Neovim and tmux to review architecture and understand why changes were made. My workhorses are a collection of mini-PCs, each running four agents, totaling 16 threads. These headless nodes are pure Unix executors, perfect for agentic tools.

Connecting these scattered PCs is crucial, and that's where Tailscale comes in. This mesh network turns all my devices—my development laptop, the closet PCs, and even my phone—into one private local network, anywhere. I don't need to manage complex VPNs; they simply connect. To manage these 16 active streams, I rely on Herder, which is essentially team tmux plus notifications. When an agent finishes its job or needs human intervention, it makes a distinct "DING!" sound, alerting me on my dashboard and phone.

When an agent pushes code, I use LazyGit or Hunk for context review. This allows me to see the surrounding code, rather than just isolated hunks, ensuring proper integration. My setup is designed for high-throughput production, where we don't just learn; we deliver. By harnessing the power of 16 parallel agents, I can produce hundreds of lines of code per hour, maintaining velocity and unblocking agents instead of writing code myself.

The setup leverages the Linux/Unix philosophy, which agents thrive on. They love individual tools invoked via the CLI and simple config files, giving them raw, unconstrained operating system access. This environment is incredibly powerful and highly scalable. With Tailscale, adding compute is as simple as plugging in another PC. No networking hassle or complex configuration.

However, this setup does come with challenges. Cognitive load is real, managing 16 threads can be intense and overwhelming. It pushes the boundaries of how much parallel information a human can effectively process in real-time. While the output metrics may seem impressive, with hundreds of lines of code produced per hour, we must be cautious not to be misled. Producing code at such a high rate doesn't guarantee a functional or problem-solving system. Rigorous human validation is essential.