Writing about development, infrastructure, and learning in public
How I built a local LLM stack with Claude-compatible APIs, reducing cloud dependencies while maintaining full control over my AI development workflow.
After 15 years in restaurants, I pivoted to software development. Here's how AI-assisted learning and hands-on building accelerated my transition.
Lessons learned from deploying NixOS across four machines with GPU mining workloads and AI inference services.
Building in public means sharing the journey, including the messy parts. Stay tuned for more posts on NixOS, Rust, and AI development.