An AI is a brilliant substitute teacher who knows everything in general and nothing about your class, and context engineering is the folder of notes you leave on the desk so the day goes well. Author Jeeson Augustine Dr.h.c, is taking the journey with Illustrating Context Engineering in five short parts, moving from how models use context, to the building blocks of good context, to context inside multi-step systems, to quality and risk, and finally to the everyday product practices that ship it. You can read straight through, or jump to the chapter that matches the problem in front of you.

Part I · Foundations: How Models Use Context

1 What Context Engineering Is (and Why Product People Own It)

2 A Working Mental Model of Language Models

3 The Anatomy of a Context Window

Part II · The Building Blocks of Good Context

4 Designing Instructions and System Prompts

5 Teaching by Example: Few-Shot and Demonstrations

6 Structure, Order, and Formatting

7 Working Within Limits: Budgets, Compression, and Summarization

8 Memory and State Across a Conversation

Part III · Context in Agentic Systems

9 Tools and Actions as Context

10 Agentic Workflows and Multi-Step Reasoning

11 Orchestration and Context Handoff

Part IV · Quality, Risk, and Cost

12 Measuring What Matters: Evaluation Before Optimization

13 Failure Modes and How to Diagnose Them

14 Security and Safety of Context

15 Cost, Latency, and Reliability Trade-offs

Part V · From Prototype to Product

16 The Product Role in Context Engineering

17 Working With Engineering and Shipping Responsibly

18 Capstone — Diagnosing and Improving a Context-Driven Feature