ai-engineer-vault

• Architectural Depth: Moves beyond "how to call an API" to "how to build reliable systems."
• Production-Hardened: Focused exclusively on patterns that survive 24/7 enterprise traffic.
• Vendor Agnostic: Teaches the fundamental physics of LLMs, retrieval, and agents—not just specific SDKs.

• Target Audience: Competent software engineers, SREs, and architects moving from prototypes to production systems.
• Not for: Absolute beginners seeking basic tutorials or practitioners looking only for unannotated link lists.

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1. Foundations of AI Engineering
2. Prompt Engineering Patterns
3. RAG & Retrieval Systems
4. Agents, Tools & MCP
5. Evals & Testing
6. Production Ops & Reliability

1. Cost Optimization
2. Fine-tuning & Model Adaptation
3. Multimodal Systems

1. Security & Safety
2. Architecture Patterns
3. [Research Frontiers](chapters/11-research-f