AI memory system architecture AI memory system architecture

Building an AI Memory System: From Blank Slate to 482 Lines of Hard-Won Knowledge

TL;DR The .github/copilot-instructions.md file started as 10 lines of project description and grew into a 99-line “operating system” for AI assistants. Then it split: failure patterns moved into docs/ai-lessons.md (now 482 lines across 20+ categories), and file-type-specific rules moved into .github/instructions/ with applyTo glob patterns. The same template structure was standardized across 5 repositories. This post traces the three generations of AI instruction architecture and shows how every production incident permanently improves AI reliability. ...

February 26, 2026 · 11 min · zolty
Natural language media requests via Jellyseerr Natural language media requests via Jellyseerr

I Am Zolty: Building a Natural Language Media Request System

TL;DR Jellyseerr already knows what I have. Radarr and Sonarr already know how to find things. The missing piece was a front door that understood intent instead of requiring me to search for specific titles. I wired Jellyseerr’s REST API to Claude and gave it a system prompt that knows my taste profile. Now I can say “download 100GB of family-friendly anime I might like” and get a queue of requests back. A Kubernetes CronJob runs the same prompt on a schedule so the library grows without me thinking about it. ...

February 21, 2026 · 5 min · zolty
Home Assistant and Proxmox monitoring Home Assistant and Proxmox monitoring

Home Assistant on Kubernetes and Building a Proxmox Watchdog

TL;DR Home Assistant runs on k3s using hostNetwork: true for mDNS/SSDP device discovery. I implemented split DNS routing so it is accessible both externally via Traefik and internally via its host IP. Then I built a Proxmox Watchdog — a custom service that monitors all Proxmox hosts via their API and automatically power-cycles unresponsive nodes using TP-Link Kasa HS300 smart power strips. ...

February 10, 2026 · 5 min · zolty

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