#automation
6 posts
- The Real Work of Orchestrating AI Coding Agents
Three concurrent coding agents taught me the actual bottleneck: not prompting, but assignment, evidence, review, and release control.
- From Consumer NUC to Production-Grade Homelab: My Journey with Proxmox and Infrastructure as Code
How I transformed two ASUS NUC 15 Pro+ machines into an enterprise-grade homelab using Proxmox, Terraform, Ansible, and 100% Infrastructure as Code
- Building a Developer Environment That Actually Works: My Dotfiles Journey
Most developer environments are optimized for keystrokes. The actual bottleneck is context transfer between you and your AI tools.
- Useful AI Code Review Needs Product Context
AI review only becomes valuable when it can reason about behavior, blast radius, user impact, and the evidence required to trust a change.
- Async Code Gen Turns Engineers Into Operators
Async code generation is delegated execution. The new work is task design, review, evidence, and deciding what the system is allowed to ship.
- The Death of the 10x Developer: Why AI Multiplication Beats Individual Optimization
AI commoditized the pattern recognition and architectural intuition that made 10x developers valuable. The bottleneck moved from individual output to...