Stefan Wolpers

Food for Agile Thought #487: Navigating Politics, Gemini Now State-of-the-Art, Product Strategy Playbook, Embracing ‘I Don’t Know’

by Stefan Wolpers | 2025-04-04 News

TL; DR: Navigating Politics — Food for Agile Thought #487

Welcome to the 487th edition of the Food for Agile Thought newsletter, shared with 42,663 peers. This week, Murray Robinson speaks with Charles Lambdin about why real organizational change hinges on navigating politics, not just process. Mike Goitein, channeling Roger L. Martin, cautions against data obsession that stifles innovation. Janna Bastow shares a curated list of must-read PM books for 2025. Meanwhile, Zvi Mowshowitz reviews Gemini 2.5 Pro’s impressive reasoning capabilities but critiques Google’s opacity. Lastly, Anthropic’s Alignment Science team exposes troubling gaps in how AIs like Claude 3.7 “think,” revealing alignment risks masked by polished reasoning chains.

Next, Aakash Gupta urges PMs to embrace adaptive, AI-informed strategies over rigid plans. Leah Tharin champions product-led growth through fast discovery and outcome focus, and Colleen McClain reveals a public-expert divide on AI optimism and regulation. Also, Ryan Singer tells Lenny Rachitsky how Shape Up restores clarity to scaling teams. And Ken Norton reframes “I don’t know” as leadership strength, not weakness.

Lastly, Barry O’Reilly calls on leaders to personally engage with AI, not outsource it, fostering curiosity and experimentation. Adam Ard critiques how “DevOps” became a silo, betraying its intent, and Jason Cohen offers a framework for simplifying tough decisions through upside-first thinking. Finally, Kim Scott reaffirms that Radical Candor means clarity with care, not cruelty, and trust at its core.

Food for Agile Thought #487: Navigating Politics, Gemini Now State-of-the-Art, Product Strategy Playbook,, ‘I Don’t Know’ — Age-of-Product.com

Generative AI in Agile: A Strategic Career Decision

by Stefan Wolpers | 2025-03-30 Agile and Scrum

TL;DR: A Harvard Study of Procter & Gamble Shows the Way

Recent research shows AI isn’t just another tool—it’s a “cybernetic teammate” that enhances agile work. A Harvard Business School study of 776 professionals found individuals using AI matched the performance of human teams, broke down expertise silos, and experienced more positive emotions during work. For agile practitioners, the choice isn’t between humans or AI but between being AI-augmented or falling behind those who are. The cost of experimentation is low; the potential career advantage, on the other hand, is substantial. A reason to embrace generative AI in Agile?

Generative AI in Agile: A Strategic Career Decision — A Harvard Study of Procter & Gamble Shows the Way — Age-of-Product.com

Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional Micromanagement, OKR’s Hidden Costs

by Stefan Wolpers | 2025-03-28 News

TL; DR: Reshaping Teamwork — Food for Agile Thought #486

Welcome to the 486th edition of the Food for Agile Thought newsletter, shared with 42,656 peers. This week, Fabrizio Dell’Acqua et al. reveal how AI can match team performance and boost collaboration in a Procter & Gamble field study. Julie Zhuo dismantles the traditional product development playbook, while Karri Saarinen champions craft and quality over speed. Itamar Gilad calls for transformational AI visions, not just incremental ones. And Paul Roetzer warns AGI may be closer than we think—raising the stakes for how we lead, build, and stay human.

Next, Zvi Mowshowitz critiques Sam Altman’s casual AGI stance, contrasting it with disruption-heavy models like Epoch’s GATE. Aakash Gupta and Tal Raviv demonstrate building an AI-powered product management copilot in under an hour. McKinsey explores how large organizations are restructuring to unlock gen AI value. Plus, Tobias Mayer and Jade Garratt explore Scrum, safety, and leadership at work.

Lastly, Matheus Lima argues that actual psychological safety thrives on respectful conflict, not artificial harmony. Ian Vanagas identifies communication pitfalls engineers face, while Jeff Gothelf exposes the hidden costs of misused OKRs. Finally, Petra Wille shares why AI notetakers don’t belong in coaching—some moments are too human for machines to capture without consequence.

Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional Micromanagement, OKR’s Hidden Costs - Age-of-Product.com

Is Vibe Coding Agile or Merely a Hype?

by Stefan Wolpers | 2025-03-23 Agile and Scrum

TL; DR: Vibe Coding

Vibe coding — using natural language to generate code through AI — represents a significant evolution in software development. It accelerates feedback cycles and democratizes programming but raises concerns about maintainability, security, and technical debt.

Learn why success likely requires a balanced approach: using vibe coding for rapid prototyping while maintaining rigorous standards for production code, with developers evolving from writers to architects and reviewers or auditors.

Vibe Coding: Learn how it can enhance agile practices and empower non-technical entrepreneurs but beware of its issues — Age-of-Product.com

Food for Agile Thought #485: Agile Coach Bubble Origins, Outcomes Are Bl**dy Hard, Product Team Anti-Patterns, Running Major Projects

by Stefan Wolpers | 2025-03-21 News

TL; DR: Agile Coach Bubble Origins — Food for Agile Thought #485

Welcome to the 485th edition of the Food for Agile Thought newsletter, shared with 42,652 peers. This week, Viktor Cessan explores the Agile Coach bubble origin, which was inflated by cheap capital. Marty Cagan and Felipe Castro stress that outcomes over outputs remain elusive without adopting the product model. Maarten Dalmijn identifies systemic dysfunction—not poor PMs—as the real challenge and proposes CACAO as a remedy. David Pereira urges teams to treat the backlog as a strategic tool, not a dumping ground. Also, Lenny Rachitsky interviews Anton Osika on how Lovable hit $10M ARR in 60 days by letting users describe apps in plain language—AI handles the rest.

Next, Ben Thompson interviews Sam Altman on OpenAI’s evolution from research lab to consumer tech giant, unpacking ChatGPT, AGI, and pursuing “the next Facebook.” Klaudia Jaźwińska and Aisvarya Chandrasekar expose how AI search engines misattribute and fabricate news content, damaging trust, and publisher economics. Peter Yang offers 12 grounded rules for building real apps with AI—especially for non-coders, while Charity Majors dismantles the 10x engineer myth, advocating for resilient, inclusive teams where “normal” engineers thrive. And Andy Cleff makes a case for self-selection: empowered teams deliver better outcomes than top-down assignments ever could.

Lastly, Rita McGrath defends bureaucracy’s stabilizing role but calls for permissionless systems. Ben Kuhn shares his Anthropic crisis project management lessons, and John Cutler uses LLMs to visualize individual interactions, which are documented during interviews. Finally, Ted Neward reframes organizational “debt” as strategic or destructive—urging awareness.

Food for Agile Thought #485: Agile Coach Bubble Origins, Outcomes Are Bl**dy Hard, Product Team Anti-Patterns — Age-of-Product.com.

The Agile Prompt Engineering Framework

by Stefan Wolpers | 2025-03-17 Agile and Scrum

TL; DR: Bridging Agile and AI with Proper Prompt Engineering

Agile teams have always sought ways to work smarter without compromising their principles. Many have begun experimenting with new technologies, frameworks, or practices to enhance their way of working. Still, they often struggle to get relevant, actionable results that address their specific challenges. Regarding generative AI, there is a better way for agile practitioners than reinventing the wheel team by team—the Agile Prompt Engineering Framework.

Learn why it solves the challenge: a structured approach to prompting AI models designed specifically for agile practitioners who want to leverage this technology as a powerful ally in their journey.

The Agile Prompt Engineering Framework: Bridging Agile and AI with Proper Prompt Engineering — Age-of-Product.com