A conceptual look at the rendering models behind modern web apps—what SSR, SSG, CSR, and ISR are, how they work, and the trade-offs behind each.

A complete and budget-friendly way to build a private, low-cost, always-available LLM server with a Raspberry Pi 5, Ollama inference engine, Tailscale for secure remote access, and Chatbox as a desktop/mobile client.

A deep technical guide to designing, orchestrating, and scaling multi-agent systems using LLM-based agents, coordination protocols, and modern AI engineering patterns.

A technical tour of modern routing systems, connecting Dijkstra and A* to Contraction Hierarchies, multimodal routing, and graph neural networks for large-scale ETA prediction in systems like Google Maps, Waze, and CityMapper.

A comprehensive guide to running Large Language Models locally on affordable single-board computers, exploring hardware options, performance benchmarks, and practical setup for private and cost-effective AI.