Software engineering practical guide (52 Ergebnisse)

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Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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. Zustand: Neu. Neuware.

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Taschenbuch. Zustand: 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. Zustand: Gut. 320 Seiten; 9780201734096.3 Gewicht in Gramm: 1.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: 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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Taschenbuch. Zustand: Neu. Neuware - WHEN AI CAN ACT ON ITS OWN, ENGINEERING CONTROL BECOMES ESSENTIALAI agents are changing how software is planned, written, tested, and operated. But greater autonomy introduces a critical engineering question: how do you give AI enough freedom to be useful without giving it enough freedom to create uncontrolled risk AGENTIC SPEC-DRIVEN DEVELOPMENT presents a practical framework for engineering reliable AI agents, controlling autonomous workflows, and building production-ready software. Instead of treating prompts as the primary foundation for development, this book shows how to connect human intent with precise specifications, defined agent boundaries, structured workflows, verification, evidence, governance, and continuous improvement.Inside, you will learn how to: - Transform vague requirements into clear, agent-ready specifications- Define agent roles, permissions, constraints, and stop conditions- Decompose complex development work into bounded, executable tasks- Design practical workflows for agentic software development- Use AI agents for implementation while maintaining engineering control- Connect requirements to acceptance criteria, tests, and verifiable evidence- Identify and manage security, permission, tool-use, and governance risks- Prepare agent-assisted software for production deployment- Establish observability, auditability, and feedback loops- Scale spec-driven agentic practices across development teams>Whether you are a software developer, AI engineer, technical lead, architect, engineering manager, or technology professional exploring agentic development, this book provides a structured way to move from AI-assisted coding toward disciplined, specification-driven agentic engineeringThe goal is not to make AI autonomous for its own sake. The goal is to make autonomy useful, bounded, testable, observable, and accountable.If you are ready to build software with AI agents without surrendering engineering discipline, AGENTIC SPEC-DRIVEN DEVELOPMENT provides a practical framework to help you begin.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Agentic Spec-Driven Software Engineering: A Practical Guide to Requirements Planning, System Design, and AI-Assisted Development Agentic Spec-Driven Software Engineering introduces a modern approach to building software in the age of AI. As development teams increasingly rely on intelligent assistants, code generators, and autonomous agents, the ability to create clear, structured, and actionable specifications has become one of the most valuable skills in software engineering.This book shows you how to move beyond traditional code-first development and adopt a specification-first mindset that places requirements, architecture, quality, and business objectives at the center of every engineering decision. You will learn how AI agents can assist with requirements discovery, system design, architecture evaluation, testing, deployment planning, governance, and continuous improvement while remaining aligned with well-defined specifications.Through practical examples, proven frameworks, real-world case studies, and reusable templates, you will discover how to transform ideas into structured requirements, create high-quality specifications, design scalable architectures, generate implementation plans, automate validation workflows, and build effective multi-agent engineering systems.Inside this book, you will learn how to: - Create clear, complete, and testable software specifications- Use AI agents for requirements planning and discovery- Design architectures directly from documented requirements- Build APIs, data models, and integration strategies from specifications- Generate tests and quality assurance workflows automatically- Maintain alignment between specifications, code, and operations- Establish governance, traceability, and compliance processes- Build AI-native engineering teams and workflows- Prepare for the future of autonomous software developmentWhether you are a software engineer, architect, technical lead, product manager, consultant, founder, or technology leader, this book provides a practical framework for designing and delivering software systems that are more predictable, maintainable, scalable, and aligned with business goals.The future of software engineering belongs to teams that can effectively collaborate with AI while maintaining clarity, control, and engineering discipline. Start building that future today and learn how specification-driven thinking can transform the way you design, develop, and deliver software.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Site Reliability Engineering treats operations as a software problem. It is the highly disciplined practice of keeping massive, distributed systems online when physical hardware breaks, networks drop packets, and traffic spikes unexpectedly. By replacing manual administration with automated deployment pipelines, declarative code, and intelligent load shedding, you stop reacting to system failures. Instead, you build fault-tolerant architecture that scales mathematically, anticipates bottlenecks, and heals itself.It happens at 3:00 AM on a Saturday. Your primary database crashes, a sudden surge in traffic overwhelms your edge servers, and the responding engineer is completely locked out of the administration console. Panic sets in, the business starts losing revenue by the second, and the team resorts to frantic guessing.This is the reality for engineering teams that rely on hope rather than architecture. But what if you could engineer that panic away What if, when a data center lost power, your system instantly routed traffic to a secondary node without dropping a single customer request I wrote this book to transition you from waiting for the next catastrophe to a state of absolute control. You are going to learn how to intentionally break your systems during normal business hours just to prove that your automated defenses work flawlessly.What's inside- Defining the Error Budget: Stop arguing over feature releases. Learn to use strict mathematics to govern your deployment velocity and prioritize technical debt.- Eliminating Operational Toil: Replace brittle manual server configurations with resilient Infrastructure as Code and automated progressive delivery pipelines.- Architecting Graceful Degradation: Design microservices that intentionally drop non-critical features to protect your core business logic under massive load.- Executing Chaos Engineering: Safely introduce controlled, automated faults into your live infrastructure to validate resilience and uncover hidden vulnerabilities.- Scaling Human Operations: Structure sustainable on-call rotations, write accessible incident runbooks, and conduct blameless postmortems that generate structural fixes rather than finger-pointing.Who it's meant forThis guide is written for software developers, systems engineers, and product managers who are exhausted by fighting fires. If you are responsible for scaling backend architecture, deploying cloud resources, or keeping a production platform online, this book gives you the exact tools to stop performing manual damage control. It is designed for professionals ready to build a self-regulating, highly available infrastructure.Stop hoping your servers survive the next traffic spike. Take total control of your infrastructure, eliminate the anxiety of production deployments, and engineer a system that thrives under pressure. Get your copy today and build software that never sleeps.…

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Taschenbuch. Zustand: Neu. Neuware - Are you ready to move beyond outdated programming techniques and start building modern, high-performance software with confidence C++26 Mastery for Modern Developers was written for programmers, software engineers, computer science students, and technology enthusiasts who want more than scattered tutorials and disconnected examples. This book provides a structured, practical, and professional approach to modern C++ development while exploring the technologies shaping next-generation computing.Have you ever struggled to fully understand advanced memory management, concurrency, modern architecture patterns, or scalable software design Have you wondered how experienced developers build fast, secure, and efficient systems that can handle real-world demands This guide was designed to answer those questions with clarity and depth.Inside this book, you will explore: - Modern C++26 syntax and language evolution- Object-oriented programming and clean architecture principles- Templates, generic programming, and compile-time techniques- Memory management and performance optimization- Concurrency, parallelism, and asynchronous programming- Secure coding and cybersecurity fundamentals- Systems programming and operating system integration- Cloud infrastructure, embedded systems, and scalable applications- AI integration and intelligent software engineering- Modern GUI development and interactive application designRather than relying on overly simplified examples, this book focuses on practical engineering concepts that reflect real development environments. Each chapter is carefully structured to help you understand not only how modern C++ works, but why certain programming strategies matter in professional software development.Whether your goal is to improve coding efficiency, prepare for advanced software engineering roles, strengthen systems programming skills, or expand into modern AI-driven applications, this book provides the technical foundation needed to grow confidently.You will also discover how modern C++ continues to remain one of the most powerful technologies for: - High-performance computing- Real-time systems- Embedded development- Cloud-native infrastructure- AI runtime systems- Secure software engineering- Scalable enterprise applicationsModern software development is changing rapidly. Developers who understand performance, architecture, concurrency, security, and intelligent systems will continue to stand out in an increasingly competitive industry.If you are ready to write cleaner code, build faster applications, and develop future-ready programming skills, this book will serve as a practical companion throughout your learning journey.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingReverse engineering is a discipline built on curiosity, precision, and the willingness to take apart complex systems to understand their internal logic. Applied Reverse Engineering provides a comprehensive, practitioner-focused guide to analyzing, dissecting, and repurposing software using modern techniques grounded in Python and C++.Readers learn how to examine binaries, debug at both high and low levels, identify structural patterns, extract program logic, and understand how compiled languages map to machine-level behavior. The book bridges conceptual understanding with practical tooling, covering disassembly, decompilation, dynamic analysis, memory inspection, executable formats, and secure protocol analysis.Whether the goal is security research, software compatibility, exploit development, malware analysis, or intellectual curiosity, Applied Reverse Engineering emphasizes reproducible workflows, correct methodology, and real-world application. Each chapter builds toward mastery by connecting algorithmic reasoning with hands-on experimentation, culminating in a toolbox of techniques that enable readers to reverse engineer with confidence and intent.Topics Include: - Foundations of reverse engineering and system internals- Disassembly and decompilation strategies- Static vs. dynamic analysis workflows- Debugging binaries and interpreting compiler artifacts- Python for automation and analysis scripting- C++ internals, object models, and ABI considerations- Memory analysis and secure protocol behavior- Anti-analysis techniques and how to defeat them- Malware case studies and exploit methodology- Ethical, legal, and operational considerations for practitionersApplied Reverse Engineering is written for security researchers, software engineers, penetration testers, malware analysts, and deep technical learners who want to elevate their understanding of how software truly functions beneath the abstraction layers.…

Taschenbuch. Zustand: Neu. Neuware - Your software ships hundreds of dependencies you didn't write, can't see, and can't prove are safe. In 2026, that stopped being optional to fix.If you build, ship, or secure software for a living, you already know the old question, 'is my code secure ', isn't the one regulators, customers, or attackers are asking anymore. The real question is: can you prove what's in your software, where it came from, and that nothing tampered with it along the way Most teams can't answer that. This book makes sure you can.Software Supply Chain Security is the no-fluff, hands-on guide to SBOMs, SLSA provenance, and the compliance deadlines bearing down on every engineering org shipping software into the EU or to the U.S. federal government, written for people who have to actually build this, not just talk about it in a steering committee.Inside, you'll build: - Real, automated SBOM pipelines, not theory, using Syft, Trivy, and native ecosystem tools wired into actual GitHub Actions workflows- SLSA provenance and build attestation, so you can cryptographically prove an artifact came from your pipeline and nothing else- A CRA-ready compliance scope matrix that turns 'are we compliant ' into a prioritized, dated roadmap your leadership can actually act on- A vulnerability and license-gating workflow that catches problems before they ship, not after an auditor finds them- A dated, phased rollout plan (Appendix F) mapping every technical build-out to the real CRA deadlines, 2026 and 2027Why this book now: The numbers are no longer abstract. Third-party involvement in breaches nearly doubled in a single year. The EU Cyber Resilience Act now carries mandatory 24-hour incident reporting. U.S. federal procurement already requires SBOMs for every vendor. The organizations that figure this out now will spend the next three years selling into regulated markets without friction. The ones that don't will spend it explaining to auditors, customers, and boards why they can't.This isn't a compliance book dressed up with engineering buzzwords, and it isn't a developer book that waves at regulation in one chapter and moves on. It's both, built by someone who's done the work, every pipeline, every policy, every template in this book is something you can put into production this week, not someday.Who this is for: DevSecOps engineers, platform and infrastructure teams, application security leads, compliance and GRC professionals, and engineering managers who need their organization audit-ready before the deadlines hit, not after.Stop guessing whether you're compliant. Start proving it.Scroll up and get your copy today.…