Prompt Engineering, Context Engineering, Loop Engineering: The Three Layers of Reliable AI AgentsWhy writing a better prompt stopped being the hard part, and what to engineer instead
Prompt engineering, context engineering, and loop engineering explained: the three disciplines behind reliable, production-grade AI agent systems today.
CAP theorem analogies for AI engineers: a complete mapping from distributed systems to AI architectureEvery CAP concept translated and their counterparts in model behaviour, RAG design, and agentic systems
Discover how the CAP theorem translates to AI engineering. Learn to balance consistency, availability, and partition tolerance in LLMs, RAG, and agentic systems.
5 Best Practices for Spec-Driven AI: Cutting Rework by 50%The architect's guide to defining intent, plans, and tasks for agentic systems.
Maximize AI productivity with spec-driven development best practices. Learn how defining constraints upfront reduces context bloat and eliminates AI guesswork.