System Design in the AI Era with Code With Ayaan

System Design in the AI Era is a comprehensive, practical guide designed for software engineers who want to build stronger system-design skills and understand how modern AI-powered systems are engineered for production.

This ebook covers 155 topics across 15 sections and Total page of 950, starting from core system-design fundamentals and progressing into modern AI architecture. You will learn about scalability, availability, reliability, consistency, APIs, databases, caching, messaging, distributed systems, infrastructure, security, and observability before moving into LLM architecture, inference, model serving, embeddings, vector databases, RAG, hybrid search, reranking, AI agents, memory, tool calling, guardrails, evaluation, observability, model fallbacks, and AI reliability.

The focus is not simply on definitions. Each topic is explained through architecture diagrams, real-world problems, step-by-step solutions, trade-offs, common mistakes, failure scenarios, and interview takeaways. The goal is to help you understand not only what technology to use, but also why you should use it, when you should avoid it, how it scales, what can go wrong, and how to design for those failures.

Whether you are a frontend engineer moving toward senior or full-stack roles, a backend engineer, AI engineer, tech lead, or preparing for system-design interviews, this ebook provides a structured path from fundamentals to production-grade AI systems.

Learn the principles. Understand the trade-offs. Design systems that survive the real world.