Most ‘AI agents’ demos hide a complex runtime underneath. Here is what actually runs in production — the planner, the tools, the memory layer, the guardrails, and the observability stack that holds it all together.
GenRec replaces a stack of hand-engineered ranking models with a single fine-tuned LLM that scores items from natural-language context. Here is the architecture, the training loop, and what production teams should know before shipping it.
From your first Worker to a globally distributed application: a practical walkthrough of Cloudflare’s edge stack, the patterns that work in production, and the trade-offs you should know before going all-in.
The next leap in agentic AI isn’t a bigger model — it’s how models talk to each other. Here’s why LLM-to-LLM protocols like MCP and Google’s A2A are replacing the brittle hero-to-API pattern.
A practical tour of nine distributed systems patterns that show up in real production stacks, from leader election to the Saga pattern, with concrete examples from Kafka, Postgres, and large web services.