aie-book surges as AI engineering hub

The repo’s appeal is that it packages AI engineering as a systems discipline, not a pile of API recipes.

• –Covers practical production questions around evaluation, hallucinations, RAG, agents, fine-tuning, latency, cost, security, and feedback loops
• –Works best as a reference map for technical readers, since the README explicitly says the book is not code-snippet-heavy
• –Strong signal for teams trying to standardize AI app development practices instead of chasing every new model release
• –The downside is obvious: developers looking for runnable starter projects may still need hands-on labs elsewhere