AI can write code fast, but getting reliable software still starts with clear thinking. This book shows how to turn ideas into precise specifications, then use AI assistants and autonomous agents to build, test and maintain real-world software. Follow a complete project from business problem to production and learn a practical approach to AI-assisted development.
Implementing ISO/IEC 27001:2022 is easier with the right guide. Packed with practical steps, ready-to-use templates and real-world examples, this book helps you build, manage and certify an effective Information Security Management System with confidence.
Dieser praktischer Leitfaden zeigt Ihnen, wie langjährig gewachsene Softwaresysteme effektiv analysiert und bewertet werden können.
The book includes practical case studies covering automotive trim assembly, leather and footwear cutting, electronics sub-assembly, food and beverage packaging, and textile stitching.It also addresses the limitations of AI—including situations where a simple mechanical solution is more reliable, cheaper, and easier to maintain.
Make ISO 45001 easier to understand and put into practice. This practical guide breaks down every clause into clear, actionable steps, helping organizations build a safety management system that works in the real world and protects people while supporting business goals.
A practical guide to turning ISO 14001:2015 from a certification exercise into a management system that delivers real results. Learn how to build an effective EMS, avoid unnecessary bureaucracy and common pitfalls and improve environmental performance while creating lasting business value.
Build a quality management system that works in the real world. This practical guide to ISO 9001:2015 takes you from the basics through implementation, certification and continual improvement, with clear explanations, practical examples and guidance on what the standard actually requires.
Build, implement and sustain an AS/EN 9100-compliant Quality Management System with confidence. This practical guide takes you from planning and implementation through certification and ongoing improvement, with clear guidance, aerospace context and insights grounded in authoritative industry sources.
AI can sound certain even when it is completely wrong. This book takes a practical approach to building RAG systems and AI agents that ground answers in evidence, verify what they generate and know when to stop. Learn how to make AI more reliable in the places where getting it wrong really matters.
Static code analysis is more than running a linter and fixing warnings. This book shows how to build practical analysis pipelines with Claude Code and deterministic tools, combining AI-driven insights with reliable checks to improve code quality and security across projects of any size.
What happens when Lean Six Sigma meets software development? This practical guide shows engineering leaders and teams how to improve quality, flow and performance without losing sight of how software actually gets built. From Agile and DevOps to metrics and continuous improvement, learn what works, what doesn't and how to make change stick.
What if AI could help you find flaws in software logic before they become costly bugs? This practical guide shows you how to use Claude Code alongside proven verification tools to test assumptions, uncover hidden issues and build confidence in your code. From first principles to production workflows, learn a smarter way to verify software with AI.
Generative AI can write code fast, but fast does not always mean safe. This practical guide shows software teams how to verify, test, secure and govern AI-assisted code across the full development lifecycle. Packed with real-world examples and practical workflows, it offers a clear path to adopting AI without lowering the bar for software quality.