6 articles
A practical guide to prompt caching on Anthropic and OpenAI APIs — how it works, what it saves, and the patterns that maximize cache hit rates in production.
How to detect, prevent, and harden real AI applications against prompt injection attacks — with code patterns and system prompt templates.
Simple RAG retrieves once and answers. Agentic RAG lets the model decide what to retrieve, when, and how many times — here's how it works and when to use it.
Move beyond vibes-based testing — build a proper eval framework for AI agents covering task completion, hallucination rate, latency, and cost with real tooling recommendations.
How to architect a grounded AI support agent using RAG, strict system prompt rules, and adversarial testing — so it never makes up answers about your product.
