LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Just as physical jerk throws our bodies off balance, technological jerk throws our mental models and established workflows into disarray when software changes too abruptly or without proper preparation.
Sure, vibe coding makes you code fasterโthatโs the obvious selling point. But if you think speed is the whole story, youโre missing out on the juicy stuff.
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
How Developers Can Navigate a Job Market That’s Stretching at Both Ends
This paper addresses the profound transformation reshaping software engineering as AI integration accelerates across the industry. The authors present a comprehensive analysis of how the traditional software development landscape is polarizing into three distinct tiers: high-value apex roles focused on strategic AI orchestration, adaptable hybrid positions blending engineering with other disciplines, and a shrinking automatable tail of commoditized tasks.
Rather than predicting the obsolescence of developers, this paper reveals how AI tools like GitHub Copilot are creating new opportunities while fundamentally changing what it means to be a software engineer. The research identifies emerging hybrid roles such as Platform Designer, Fleet Supervisor, and AI Quality Assurance Engineer, while outlining the essential human-centric behaviorsโfrom code reading velocity to productive skepticismโthat differentiate thriving professionals from those merely surviving. The paper provides actionable career guidance for developers at all stages, from recent graduates to seasoned professionals, emphasizing continuous learning and strategic adaptation as the keys to sustained relevance in an AI-augmented world.
Strategic guidance for thriving in AI-transformed software development roles.
Data-driven insights on emerging roles, compensation trends, and skill demands.
Practical frameworks for developing AI-era competencies and human-centric behaviors.
Realistic timelines and actionable steps for adapting to accelerating change.
Matt Beane studies work involving robots and AI to uncover systematic positive exceptions that we can use across the broader world of work. His book The Skill Code was published by HarperCollins in June of 2024. His award-winning research has been published in top management journals such as Administrative Science Quarterly and Harvard Business Review, and he has spoken on the TED stage. He is also cofounder and CEO of SkillBench, a startup that helps firms deploy AI in ways that upskills their workforce. Matt is an Associate Professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanfordโs Digital Economy Lab and MITโs Initiative on the Digital Economy. Beane received his MS and PhD from the MIT Sloan School of Management.
Jonathan Hassell is a technical writer and consultant based in Charlotte, NC. With over twenty-five years in information technology, he is an award-winning author of multiple technical books including RADIUS, Hardening Windows, and Learning Windows Server 2003. Jonathan specializes in Microsoft technologies, enterprise IT infrastructure, and cybersecurity. Beyond his writing, Jonathan is director of AI and data content for OโReilly Media, a leading publisher and online learning provider.
Brendan Hopper leads engineering and innovation for the Commonwealth Bank of Australia and does his best to take care of their 10,000 software engineers, after starting his career on the attack and research side of cyber secuirity. Brendan also serves on several boards related to increasing tech literacy and education across Australia, and is looking to talk to and work with anyone who cares deeply about finding a future in which humans and AI work together for mutual benefit and growth.
Steve Yegge is an American computer programmer and blogger known for writing about programming languages, productivity, and software culture for two decades. He has spent over thirty years in the industry, split evenly between dev and leadership roles, including nineteen years combined at Google and Amazon. Steve has written over a million lines of production code in a dozen languages, has helped build and launch many large production systems at big tech companies, has led multiple teams of up to 150 people, and has spent much of his career relentlessly focused on making himself and other developers faster and better. He is currently an Engineer at Sourcegraph working on AI coding assistants.
