Architecting Production LLM Systems: How AI Gateways, Orchestration, RAG, and Observability Fit TogetherA practical reference architecture connecting OpenRouter, LangChain/LlamaIndex, vector search, structured outputs, and Langfuse into one coherent AI engineering stack
How AI gateways, LangChain/LlamaIndex orchestration, vector search, structured outputs, and Langfuse observability combine into a production LLM architecture.
CAP theorem in AI systems: the consistency-availability trade-off your LLM pipeline is already makingHow distributed systems theory maps onto the core tensions in AI engineering
Explore how CAP theorem principles from distributed systems map to LLM pipeline design, revealing the hidden trade-offs in consistency, availability, and reliability.
Command vs. query prompts: a CQRS-inspired framework for structuring LLM interactionsTreating action-oriented and retrieval-oriented prompts as fundamentally different concerns leads to cleaner, more predictable AI behaviour
Apply CQRS thinking to prompt engineering - learn how splitting command and query prompts improves LLM reliability, tracing, and eval coverage.