Leadership

Bridge the critical gap between Agile delivery and bottom-line business performance. Agile Constraints Management introduces a revolutionary framework that merges Agile adaptability with the Theory of Constraints and Throughput Economics. Stop chasing team-level "velocity" and start driving measurable economic throughput by pinpointing hidden bottlenecks, forecasting with scientific precision, and managing work through outcome-focused MOVEs.

What You'll LearnWhy burnup charts create false certainty, and what they get wrongHow to run Monte Carlo simulation properly, including where "just use Monte Carlo" breaks down with feature WIP and dependenciesHow to forecast across a single team, multiple features, and multi-team initiatives with dependenciesReal examples and free, ready-to-use tools, rather than just theory

Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.

Teams are producing more code than ever. Dashboards are green. And something is quietly breaking. AI coding assistants didn't break your development process; they revealed it was already fragile. Reimagine, Don't Retrofit is a field-tested argument that the software development lifecycle itself needs to be reimagined for the AI era, from governance and metrics to team roles and delivery flow.

“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell

Whether you're stepping into your first management role or navigating a new company, this book shows you how to thrive by understanding the hidden rules that shape your role, building unshakeable team alignment, and mastering the art of planning in uncertainty. From decoding your company's DNA and organizational dynamics to turning vague ambitions into actionable plans, you'll discover practical frameworks that reveal why some engineering teams flourish while others get stuck in endless debates and missed deadlines. This is the book we wish we had when we first stepped into management.

What You’ll LearnHow to measure impact and effectiveness of working differentlyThe mistakes you can make around agility and how to avoid themMeasuring team agility at scale, agnostic of any chosen frameworkReal case studies and examples from practical application in large organisations, rather than just theory

Die meisten Unternehmen können schnell liefern, aber nur wenige können sich in großem Maßstab anpassen.The Cybernetic Enterprise stellt ein einheitliches Betriebsmodell vor, das KI, Rückkopplungsschleifen und Plattform-Denken in die DNA Ihrer Organisation einbettet. Erfahren Sie, wie Sie ein System aufbauen, das Veränderungen wahrnimmt, kontinuierlich lernt und Disruption in strategische Vorteile verwandelt.

Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.

Unlock the secrets of high-performing tech organizations with 'All Hands on Tech.' Drawing from 40+ years of experience across corporate giants and digital-native companies, this guide offers battle-tested strategies to transform your software development process, boost innovation, and deliver real business value at scale. Learn how to:• Align your tech strategy with business goals• Structure teams for maximum impact and innovation• Implement agile and DevOps practices at scale• Foster a culture that attracts and retains top talent• Deliver value consistently and rapidly Whether you're a CTO, engineering manager, or aspiring tech leader, you'll find actionable insights to transform your organization. This Minimum Viable Book (MVB) is a work in progress, inviting community input to shape its evolution into an indispensable resource for tech leadership.

After years of remote work, you would think we'd all be great at it. But many of us are still struggling with terrible online meetings and workshops. This book provides simple tools to improve your everyday meetings, and introduces the facilitation skills you need to resolve tough conflicts and design great online workshops.

Most companies claim to be agile. Few actually are. The rituals changed; the waterfall mindset survived. This guide shows what real agile looks like through one concrete story: an empowered team going from business problem to measurable impact in eight weeks. Continuous discovery, TDD, feature flags, no story points. Practices you can put to work on Monday.

You already know how to work hard. The question is whether you know when to stop.Most frameworks optimize effort. The Ishi Spiral governs it. It is a discipline of self-governance that sustains performance under pressure without drifting into burnout or grinding past the point where continuation is still justified. The Guide is the Companion to 'Ishi: the Discipline of Determined Intent'.

Lessons from a diverse range of books on Testing, Automation, Hacking, Habits, Writing, Thinking, Productivity, Software Engineering, Innovation, Design, Management, Finance, Personality Development, Soft Skills, etc. Powered By: Happy Book Reading Club (HBR)

AI now drafts the charter, builds the schedule, and writes the status report. The project lifecycle was not designed for that. The AI-Native Project Manager gives working project managers a redesigned lifecycle, the Governed Loop: five phases, three human checks, and an Autonomy Dial for deciding how much the machine does. Practical, sourced, and written by a PMP who runs multi-team programs for a living.