{"product_id":"9798868832307","title":"Hyper-Agile Testing Delivering Software in an AI-Accelerated World","description":"\u003ch1\u003eHyper-Agile Testing\u003c\/h1\u003e\u003ch2\u003eDelivering Software in an AI-Accelerated World\u003c\/h2\u003e\u003ch3\u003eEvgeny Tkachenko\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Software Development \u0026amp; Engineering \/ Quality Assurance \u0026amp; Testing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eSoftware delivery is accelerating. Release confidence is not. Artificial intelligence can generate requirements, code, tests, and documentation in minutes, but faster output does not automatically make software safer to release. This book presents a practical operating model for building confidence as quickly as teams create change by connecting product intent, risk, validation, automation, release readiness, and production learning.\u003c\/p\u003e\r\n\u003cp\u003eAs you move through the chapters you will follow the Hyper-Agile Quality Loop from idea to production. You will learn how to turn requirements into test expectations, adjust validation depth to risk, and choose automation by value rather than test count. Additionally you will also gain expertise in keeping continuous integration and continuous delivery signals trustworthy, and using artificial intelligence to support requirements review, impact analysis, defect triage, and release decisions. The chapters are supported by practical examples, diagrams, checklists, and personal stories that will show you how these ideas work under real delivery pressure.\u003c\/p\u003e\r\n\u003cp\u003eThis book will guide you in applying the model across delivery stages and risk levels—from prototypes and internal pilots to early adopter and general availability releases, including high-risk or regulated work. You will see how Product, Development, Quality Engineering, Support, and Operations each contribute to quality. It will also help you to understand how production feedback improves the next delivery cycle and how Quality Engineering can move beyond late-stage testing toward quality decision support.\u003c\/p\u003e\r\n\u003cp\u003eBy the end of the book, you will have gained expertise in implementing a framework that will enable you to create safer software and increase your release confidence. Following the chapters you will achieve faster learning, have clearer release decisions, and end up with less risk pushed downstream.\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\r\n\u003cul\u003e\r\n\u003cli\u003eApply the Hyper-Agile Quality Loop from product intent through production learning\u003c\/li\u003e\r\n\u003cli\u003eMatch validation depth to risk, release stage, and customer impact\u003c\/li\u003e\r\n\u003cli\u003eBuild trustworthy automation and CI\/CD signals that support release decisions\u003c\/li\u003e\r\n\u003cli\u003eUse AI responsibly for requirements review, test design, impact analysis, and defect triage\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\u003cp\u003e \u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e\u003c\/p\u003e\r\n\u003cp\u003eQuality engineers, QA leads, engineering managers, product managers, and technology leaders working in fast‑moving delivery environments.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cp\u003eEvgeny Tkachenko is a software engineering and quality leader with over twenty years of experience working at the intersection of technology, quality, and business. He has worked in large product organizations such as Wayfair and Amazon, as well as in healthcare and startup environments. His experience includes Hyper-Agile and DevOps transformations, AI-assisted software delivery workflows, automation and release strategy, and helping organizations build quality practices that support faster, safer software delivery.\u003cbr\u003eEvgeny is also an active speaker in the quality engineering and software testing communities. Through his presentations, he engages with quality engineers, engineering leaders, testers, and practitioners who face many of the same challenges addressed in this book: how to deliver faster without sacrificing quality.\u003cbr\u003eHe is the author of two additional books, \u003cem\u003eNavigating Quality Engineering in the AI Era\u003c\/em\u003e and \u003cem\u003eTesting AI-Powered Applications: Ensuring Quality in the Age of Intelligent Software\u003c\/em\u003e. Across his writing and speaking, Evgeny focuses on helping quality engineers and engineering leaders modernize their quality practices, use AI responsibly, improve release readiness, and bring quality earlier into the software delivery process instead of treating it as a final gate.\u003cbr\u003eHis work combines practical quality engineering experience with a broader view of how the discipline is changing. He continues to advocate for quality practices that help teams move faster, make better release decisions, and build software with greater confidence.\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e17 February 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9798868832307\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":51691703140492,"sku":"9798868832307","price":58.49,"currency_code":"USD","in_stock":true}],"url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9798868832307","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}