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AI Engineering for Web Developers

From your first API call to building autonomous agents

From aware but not building to shipping a real AI agent. A hands-on path through LLMs, prompting, tools, agents, RAG, evals, and production — written for working web developers.

Start reading →12 chapters · free, no sign-up

Front matter

PrefacePreface

Foundations

Chapter 0Setup
Chapter 1An LLM is not a function
Chapter 2Prompting that works
Chapter 3Structured output
Chapter 4Tool use

Building agents

Chapter 5Onboarding the agent
Chapter 6Agent patterns
Chapter 7Harness engineering
Chapter 8Multi-agent and handoff
Chapter 9Memory

Production

Chapter 10Evals
Chapter 11Safety, guardrails, and prompt injectionIn progress
Chapter 12SandboxingIn progress
Chapter 13From router to autonomous orchestratorIn progress
Chapter 14Observability, cost, and deployIn progress

Bonus

BonusRAG fundamentalsIn progress
BonusRAG that actually worksIn progress
BonusMCP and WebMCPIn progress
BonusRebuilding the Chapter 14 assistant on ADKIn progress