A practical follow-up on using AI to centralize DHCP and secrets management—turning scattered network state and credentials into boring, observable infrastructure.

How studying Microsoft AB-100 and exploring Azure AI Foundry shaped an agent-assisted migration from an EdgeRouter X to a tested Debian gateway for DNS, WireGuard, filtering, monitoring, and security.

Designing and installing a custom ESP32 weather sensor with six sensors, a JLCPCB-made PCB, ESPHome firmware, Prometheus metrics, and Grafana integration.

Three days at the CGI AI Hackathon during Silicon Saxony Days 2026: building an AI prototype with AWS, Terraform, Dify.ai, Amazon Bedrock, Titan embeddings, and RAG.

Installing a Tapo C520WS outdoor camera with custom 230 V to 9 V power delivery, then integrating the live feed and iCloud calendar into my Grafana monitoring dashboard.

Building a local Vision-LLM pipeline that turns streamed YouTube uploads into trustworthy metadata without manually scrubbing through every video.

Refactoring OpenClaw setup, optimizing agents, and integrating local LLMs for efficient automation workflows.

Five weeks building a hybrid OpenClaw setup: hardware, local AI services, cloud models, guardrails, skills, and a seven-agent operating model.

Efficiency improvements through faster compression, reduced complexity, and aggressive media optimization to significantly lower deployment size.

CI/CD cleanup with GitHub organization restructuring, runner migration, monitoring rewrites, and pipeline hardening.