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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Patterns in AI-Augmented Software Development
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Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
21 Tage Widerrufsrecht
Optischer Zustand
Beschreibung
This book presents a practical and structured path for engineers looking to effectively collaborate with AI coding assistants. Moving beyond trends like “vibe coding” or rigid spec-driven workflows, the book introduces a flexible, adaptive mindset that helps developers improve both their code and their own capabilities while working alongside intelligent tools. At its core, the book is built… around reusable patterns that guide engineers in solving real-world problems with LLM-based assistants. It explains how the key components—prompts, memory, context, tools, and agent skills—work together to shape code generation. Readers learn to manage prompts and memory effectively, track progress through continuous feedback loops, and maintain control over task execution and quality. The chapters emphasize practical strategies such as iterative refinement, structured experimentation, and context management to ensure reliable results. Importantly, the book encourages engineers to balance trust in AI with critical thinking, leveraging their own expertise while using assistants to augment productivity. Tool-agnostic by design, it demonstrates these practices across different coding environments and local inference models. In the end, this book equips software engineers with a disciplined, feedback-driven approach to AI-assisted development. By integrating proven patterns into daily workflows, readers can produce higher-quality software, build confidence in using AI tools, and evolve into more capable, adaptive engineers in the age of intelligent systems. What you will learn: . Learn to identify inefficiencies in AI outputs and optimize prompts using structured patterns to modularize complex tasks. • Apply disciplined, pattern-based approaches to move beyond vibe coding and maintain high-quality AI-assisted development. • Build a continuous improvement workflow to refine how AI tools are selected, adapted, and applied in real projects. • Balance AI efficiency with human oversight to retain control, ownership, and engineering excellence in software development. Who this book is for: This book is designed for software engineers, developers, and technical practitioners who are actively using or exploring AI coding assistants in their workflows. It is especially suited for professionals seeking to move beyond ad hoc prompting toward structured, high-quality AI-augmented engineering practices. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
21 Tage Widerrufsrecht
Technische Daten
Erscheinungsdatum
05.04.2027
Sprache
Englisch
EAN
9798868835087
Herausgeber
APRESS
Sonderedition
Nein
Autor
Graham Lee
Einbandart
Broschiert
Buch Untertitel
Designing Reliable Software with Prompts, Context, Memory, and Agent Workflows
Schlagwörter
AI Coding, Claude Code, ChatGPT Codex, Antigravity, Patterns, Prompt Engineering, Context Engineering, Model Context Protocol, Vibe Code Cleanup
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UMZ - Software Engineering
Höhe
235 mm
Breite
15.5 cm
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Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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