Practical guide software engineering (107 résultats)

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Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Paperback or Softback. Etat : New. Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery. Book.

Paperback or Softback. Etat : New. Software Engineering For Vibe Coders: A Practical Guide to Turning AI-Generated Code into Production-Ready SaaS. Book.

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Taschenbuch. Etat : Neu. Neuware - For sixty years, software engineering ran on one assumption: same input, same output, every time. Large language models broke that promise, and most teams are still pretending they didn't.Rebuilding the SDLC for Probabilistic AI is a practical guide for senior engineers, architects, and team leads who need to build reliable software on top of fundamentally unreliable components. Author Sujal Choudhari, who moved from ultra low latency C++ trading systems into AI engineering, walks through why manual vibe checks and eyeballing outputs do not scale, and what to build instead.Inside, you will learn how to: - Design architectural guardrails that enforce structure at the token level- Build context aware data pipelines that ground model outputs in fact- Replace exact match assertions with statistical evaluation pipelines using bootstrap resampling- Scale QA using LLM as a judge techniques, and calibrate those judges properly- Monitor for silent semantic drift in production before your users notice- Structure engineering teams for AI native developmentThis is not management fluff or AI hype. It is a concrete, opinionated engineering framework for anyone tasked with shipping AI powered systems that actually hold up in production.…

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Taschenbuch. Etat : Neu. Neuware - Artificial intelligence is changing the way software is built. Developers can now generate implementations, write tests, explain unfamiliar code, troubleshoot errors, and build features with AI assistance in a fraction of the time it once took.But faster implementation does not automatically mean better software.When AI becomes part of the development process, software engineers need to become better at something even more fundamental: thinking like engineers.Software Engineering in the Age of AI is a practical guide to navigating software development when AI is increasingly involved in implementation. Rather than focusing on a particular AI tool or teaching a collection of prompts, this book focuses on the engineering judgment required to use AI effectively and responsibly.Throughout the book, you will learn what to look out for when implementing software with AI assistance, including incorrect assumptions, hidden complexity, security risks, unnecessary abstractions, fragile solutions, misleading tests, and code that appears correct but fails to satisfy the real requirements.This book is not designed simply to tell you what to watch for, instead it is designed to make you think.Think Like an Engineer sections appear throughout the book to challenge you to pause before accepting an AI-generated solution. These sections encourage you to question assumptions, examine trade-offs, consider alternative approaches, and understand why a solution works rather than simply accepting that it works.You will also find Practice Challenges that give you opportunities to apply the ideas from each chapter. These exercises are designed to turn concepts into practical engineering skills and help you develop the habit of critically evaluating AI-assisted implementations.For deeper understanding, the book includes Case Studies that examine realistic software engineering situations and demonstrate how seemingly reasonable decisions can lead to unexpected problems, and how stronger engineering thinking can prevent them.Inside, you will explore: - How AI is changing the software development process- What to look for when reviewing AI-generated code and implementations- Why requirements and context matter when working with AI- How to evaluate architecture and design decisions made with AI assistance- How to identify security, reliability, maintainability, and testing risks- Why AI can accelerate technical debt and unnecessary complexity- How to verify software instead of simply trusting generated output- How to develop stronger engineering judgment in an AI-assisted workflowWhether you are a software developer beginning to use AI coding assistants or an experienced engineer adapting to a new development workflow, this book provides a framework for using AI without losing the skills that matter most.…

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Taschenbuch. Etat : Neu. Neuware.

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Taschenbuch. Etat : Neu. Neuware - Professional C++ Software Development is a practical resource for developers who want to move beyond basic programming concepts and build stronger software development skills using modern C++ techniques. Designed for programmers, computer science students, and software professionals, this book focuses on the principles, workflows, and practices used to create reliable, maintainable, and efficient applications.Modern software development requires more than knowing programming syntax. Developers need to understand how to structure projects, write maintainable code, identify problems, improve performance, and apply proven approaches to real development challenges. This book provides a practical foundation for developing these essential skills.Inside this book, you will learn how to: - Understand advanced C++ concepts used in real software projects- Create well organized applications using professional development approaches- Apply reusable solutions for common programming challenges- Improve code quality through effective verification techniques- Identify, analyze, and resolve software issues efficiently- Manage complex projects with better development workflows- Improve application reliability, readability, and maintainability- Adopt practices that support long term software growthWritten for developers who want practical knowledge rather than theory alone, this book combines clear explanations with real world programming principles. Each chapter builds upon previous concepts, helping readers understand how experienced developers approach software creation and problem solving.Whether you are preparing for a software engineering career, improving your existing programming abilities, or expanding your knowledge of modern C++ development, Professional C++ Software Development provides a structured path toward stronger technical capability.Build better software, improve your programming discipline, and develop the mindset required for professional level application development.…

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paperback. Etat : Gut. 320 Seiten; 9780201734096.3 Gewicht in Gramm: 1.

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Taschenbuch. Etat : Neu. Neuware.

Taschenbuch. Etat : Neu. Neuware - Master Kiro AI, Spec-Driven Development, AI Coding Agents, MCP, Custom Agents, Hooks, and modern agentic software development-without giving up engineering control. Kiro is changing the way developers plan, build, test, review, and deliver software. Kiro AI Engineering is a practical, engineering-focused guide to using Kiro for modern AI-assisted and agentic software development. Rather than treating Kiro as just another coding assistant, this book shows you how to use its most important capabilities together as part of a complete development workflow. You will learn how to move from a rough idea to a structured software solution using Spec-Driven Development, AI Coding Agents, Steering, Hooks, MCP, Custom Agents, Skills, CLI workflows, cloud sessions, testing, debugging, code review, and controlled automation. Inside, you will learn how to: \* Understand how Kiro fits into modern software engineering\* Set up Kiro and work effectively with projects and repositories\* Write clearer development instructions and provide better context\* Turn ideas into requirements, technical designs, and implementation tasks\* Use Specs to guide development in a structured way\* Create Steering instructions that preserve project standards and knowledge\* Automate tests, linting, formatting, and repetitive work with Hooks\* Connect Kiro to external tools and services with MCP\* Build specialized Custom Agents for testing, documentation, and security review\* Use Skills and reusable agent capabilities across projects\* Debug failures using evidence instead of guesswork\* Generate meaningful unit, integration, and regression tests\* Refactor existing code while protecting working behavior\* Review AI-generated changes before accepting them\* Work with Kiro through the IDE, CLI, cloud sessions, branches, and pull requests\* Choose the right level of agent autonomy for different development tasks>The book also explains an important principle that is often missing from AI coding guides: AI-generated code is not automatically correct. You will learn how to combine agent speed with human judgment, testing, permissions, review, security controls, and clear acceptance criteria. Whether you are a software developer, programmer, engineering student, technical lead, or anyone exploring AI-assisted software development, this book gives you a clear path for using Kiro with more structure, confidence, and control. Move beyond simple code generation. Learn to plan with specs, guide agents with context, automate intelligently, verify every important change, and build real software with Kiro. Start mastering Kiro AI Engineering and agentic software development today.…

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paperback. Etat : VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.