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AI Agents Bible: Architecture & Patterns for Production AI Agents
Paperback
Business GeneralGeneral ComputersProgramming
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Publisher: Independently Published
Pages: 322
Weight: 1.65
Height: 0.67 Width: 8.50 Depth: 11.00
Language: English
Every AI agent tutorial teaches you how to build a demo. This book teaches you how to build the thing that still works after the demo - after real users, real traffic, real failures, and real cost pressure hit it.
Most AI agents content today is a thin wrapper around a framework's quickstart: call a model, bolt on a tool, call it agentic. It works great in a five-minute video. Then it meets production - an unbounded loop that burns your API budget overnight, a memory system that quietly goes stale, a multi-agent handoff that silently drops context, a framework upgrade that breaks everything downstream - and nobody tells you why, because nobody built it from first principles in the first place.
Across twelve chapters and 300+ pages of production-grade code, you'll go from a hand-built reasoning loop to a fully operational, guardrailed, cost-controlled agentic system:
The real mechanics behind ReAct, planning architectures, and memory systems - built by hand before any framework hides them from you Tool design and multi-agent orchestration patterns that actually hold up past a two-agent demo
Deep, practical dives into LangGraph, CrewAI, and AutoGen - what each one is genuinely good at, where each one will quietly cost you, and how to combine them instead of picking a side
Guardrails, evaluation, and observability practices that turn it seemed to work into something you can actually trust in production
Cost control, latency optimization, autoscaling, circuit breakers, and canary deployments for running agent fleets at real scale
Advanced patterns - self-correcting agents, recursive agent-as-tool composition, standing critique loops - and the honest cost/complexity trade-offs nobody puts in the marketing copy
This is not a beginner's tour. It's written for engineers who already ship software and want the architectural depth that separates a working prototype from a production system - with runnable code on every technique, not just diagrams.
If you're tired of AI agent content that stops at here's a cool demo and never answers what happens when this is wrong, expensive, or under load - this is the book that answers it.
AI Agents Bible. Build the loop. Understand what's underneath it. Ship the thing that doesn't fall over.
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