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portada Harness Engineering for Web Developers. From Prompts to Context to Autonomous Agent Environment Design
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
470
Format
Paperback
Dimensions
22.9x15.2x2.4 cm
ISBN13
9798254799177

Harness Engineering for Web Developers. From Prompts to Context to Autonomous Agent Environment Design

Yoo Byung Hong (Author) · Independently published · Paperback

Harness Engineering for Web Developers. From Prompts to Context to Autonomous Agent Environment Design - YOO BYUNG HONG

New Book Imported to South Africa
Delivery: 03 Dec - 09 Dec Shipping: 6 to 7 business days.
R 595
R 595

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Synopsis "Harness Engineering for Web Developers. From Prompts to Context to Autonomous Agent Environment Design"

Your AI agent is only as good as the environment you build around it.

Prompt engineering got us started. Context engineering leveled us up. But as AI agents become autonomous - writing code, running tests, and deploying changes - a new discipline has emerged: Harness Engineering.

Harness Engineering for Web Developers is a practical guide that walks you through the three-stage evolution of working with AI, from crafting single prompts to designing full autonomous agent environments.

What you will learn:Prompt engineering fundamentals - role prompting, chain of thought, few-shot patternsContext engineering - context windows, RAG, tool use, MCP, and memory systemsHarness engineering - architecture constraints, garbage collection, and reliability mathCLAUDE.md and AGENTS.md - writing effective agent document mapsThe Generator/Evaluator pattern - separating work and verification for reliable outputBuilding a harness step by step - linters, pre-commit hooks, ArchUnit, CI/CD gatesProduction harness operations - monitoring, cost management, and self-improving systemsIncludes code recipes for Claude Code, Cursor, GitHub Copilot, and OpenAI Codex. Every concept is illustrated with real-world examples using Spring Boot, FastAPI, React, and TypeScript.

Why 95% accuracy is not enough: A 20-step agent pipeline at 95% per step succeeds only 36% of the time. This book shows you how to build the harness that turns that 36% into 95%+.

Written for developers who want to move from talking to AI to building systems where AI works autonomously and reliably.

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