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Harness Engineering for Web Developers: From Prompts to Context to Autonomous Agent Environment Design (AI for Web Developers Series, Band 3) - Softcover
Buch 3 von 6: AI for Web Developers Series
Inhaltsangabe
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 patterns
- Context engineering — context windows, RAG, tool use, MCP, and memory systems
- Harness engineering — architecture constraints, garbage collection, and reliability math
- CLAUDE.md and AGENTS.md — writing effective agent document maps
- The Generator/Evaluator pattern — separating work and verification for reliable output
- Building a harness step by step — linters, pre-commit hooks, ArchUnit, CI/CD gates
- Production harness operations — monitoring, cost management, and self-improving systems
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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Harness Engineering for Web Developers: From Prompts to Context to Autonomous Agent Environment Design
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798254799177
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798254799177
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