6 articles
Latest Articles
Prompt engineering is dead — long live prompt engineering
Why basic prompting skills are commoditized, but deep prompt engineering for production systems is more valuable than ever.
From prototype to production: the AI engineering playbook
The gap between a working demo and a reliable production AI system — and the concrete steps to cross it.
RAG vs fine-tuning: which path for your AI product?
A clear comparison of retrieval-augmented generation and fine-tuning — when each makes sense and why RAG is often the right first move.
Vector databases explained: why they matter for AI
A developer-friendly guide to vector databases — what embeddings are, how similarity search works, and when you actually need one.
Building AI agents: from chatbots to autonomous systems
Understand the spectrum of AI agent architectures — from simple prompt-response loops to multi-step autonomous planning systems.
Hosted LLM API or self-hosted model: how to actually decide
A practical framework for choosing between OpenAI/Claude APIs and running your own LLM — cost, latency, privacy, and control compared.