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How I Learned to Stop Worrying and Love the LLM in Agile

by Stefan Wolpers | 2026-03-01 News

TL;DR: The LLM in Agile

Most agile practitioners are still debating whether AI matters. I stopped debating and started using it. Over two-plus years, AI went from proofreading my book manuscript to designing Retrospectives based on team data, to running an entire product development process for a new course, to working with autonomous AI agents. Each phase revealed what the previous one could not teach. Finally, I went Kubrick and started loving the LLM in Agile.

The window of opportunity to build this competence is open now, but it will not remain open indefinitely. Start acting.

How I Learned to Stop Worrying and Love the LLM in Agile: A two-and-a-half year AI journey of an agile practitioner — Age-of-Product.com

Food for Agile Thought #533: Autonomous AI Agents & the Economy, PM-Dev Boundary, Not Outcome But Potential, 2nd Brain Trends

by Stefan Wolpers | 2026-02-27 News

TL; DR: Autonomous AI Agents — Food for Agile Thought #533

Welcome to the 533rd edition of the Food for Agile Thought newsletter, shared with 35,708 peers. This week, Ezra Klein interviews Anthropic’s Jack Clark on autonomous AI agents that act, not just chat, and they warn about specs, oversight, and security as senior judgment grows in value. Teresa Torres and Petra Wille draw a hard line between product outcomes and engineering quality, and Jing Hu shows domain insiders can beat coders at AI hackathons. Also, Andreas Horn, Daniel Nest, and Pavel Samsonov argue for durable instructions, a living context, and real customer signals before speed.

Next, John Cutler reminds us that shipping creates potential, not outcomes, so treat each release as a hypothesis and trace causal chains from near-term effects to long-term results. Paweł Huryn describes Claude Cowork, a desktop agent that plans work, runs parallel sub-agents, and writes real files with plugins, skills, and MCP, while Benedict Evans questions OpenAI’s moat, and Elena Verna urges an AI native weekly build cadence. Deb Liu ties it together with collaboration habits that widen options.

Then, Dror Poleg warns of a jobless boom where GDP rises while hiring stalls, pushing cities toward flexible zoning, conversions, and fiscal tools that spread gains. Zapier frames AI transformation as leadership, culture, tools, and governance that multiply into impact, while Nicole Koenigstein shows multi-agent handoffs compound errors unless you add gates and schemas. Also, Andi Roberts urges friction-based team charters with review cadences. Finally, Anthropic links AI fluency to iteration and tougher evaluation.

Food for Agile Thought #533: Autonomous AI Agents & Economy, PM-Dev Boundary, Not Outcome But Potential, 2nd Brain Trends—Age-of-Product.com

Food for Agile Thought #532: Cognitive Debt, Product Team Accountability, AI Opportunity Solution Tree, Toyota’s Andon Cord

by Stefan Wolpers | 2026-02-20 News

TL; DR: Cognitive Debt — Food for Agile Thought #532

Welcome to the 532nd edition of the Food for Agile Thought newsletter, shared with 35,728 peers. This week, Margaret-Anne Storey warns that AI-augmented development creates “cognitive debt” as teams lose shared understanding of their own software. Janna Bastow proposes that product teams need clearer accountability for business outcomes, not more empowerment, and Teresa Torres introduces an AI-powered tool turning interview recordings into draft Opportunity Solution Trees. Ethan Mollick breaks down three layers you need to grasp when using AI. Also, Lenny Rachitsky talks to Boris Cherny about building Claude Code at Anthropic, while Sebastian Siemiatkowski explains how Klarna flipped its AI strategy to turn human customer service into a premium experience.

Next, Ondrej Machart shares 13 Claude Code projects that transformed his product manager role and the mindset shifts that made them possible. John Cutler uses three juggling metaphors to help teams diagnose whether their strategy reflects deliberate choice or undisciplined prioritization. At the same time, Zvi Mowshowitz breaks down Dario Amodei’s latest podcast on AI timelines and adoption barriers. Aakash Gupta reviews Claude Cowork’s expanding capabilities, and Lorin Hochstein explores why Drucker’s OKR approach outlasted Deming’s systems thinking in U.S. management.

Then, Naval Ravikant explains how AI turns English into a programming language, flooding markets with apps and raising the bar beyond average. Sasha Rogelberg reports that a study of 6,000 executives found nearly 90% see no AI impact on productivity, reviving Solow’s 1987 paradox for a new era, and Elena Verna shows how Lovable boosted engagement and retention by adding credit top-ups alongside subscriptions. Tom Geraghty connects Toyota’s Andon Cord to psychological safety, while Martin Alderson shares a three-step method for generating branded reports and slides with AI coding agents.

Food for Agile Thought #532: Cognitive Debt, Product Team Accountability, AI Opportunity Solution Tree, Andon Cord - Age-of-Product.com

Food for Agile Thought #531: AI Intensifies Work, Perils of Shipping Fast, Tragedy of Planning, Agile Manifesto at 25

by Stefan Wolpers | 2026-02-13 News

TL; DR: AI Intensifies Work — Food for Agile Thought #531

Welcome to the 531st edition of the Food for Agile Thought newsletter, shared with 35,736 peers. This week, Aruna Ranganathan and Xingqi Maggie Ye found that AI intensifies work rather than reduces it, and Siddhant Khare describes how they paradoxically increase engineer exhaustion. Cleo Lant explores how product velocity overwhelms user adoption capacity, while Maarten Dalmijn argues that PUSH planning systems fail for complex work. Teresa Torres explains context rot in AI models, while Paweł Huryn shares architectural lessons from building Agent One as a secure alternative to OpenClaw.

Next, Jim Highsmith reflects on Agile’s 25 years, noting it won by reshaping delivery but lost by hardening into a set of ceremonies. David Pereira interviews John Cutler on product operating models and messy transformations, and Aakash Gupta and Caitlin Sullivan demonstrate AI discovery workflows that compress 10+ hours into 30 minutes. Also, Grant Harvey argues that AI collapsed execution, making taste and judgment critical. Azeem Azhar and Nathan Warren conclude that AI faces a capacity stampede as compute demand outpaces infrastructure.

Then, Reddit user morsofer describes how a new board dismantled 10 years of Agile transformation in 6 months. Michael Lopp examines three bad but successful managers and why adapting your approach matters. Additionally, Jenny Wanger explores how AI’s variable response latency fragments attention and breaks flow, and Andi Roberts shares mechanics for creating living team charters through observable behaviors. Finally, the DORA AI Capabilities Model identifies seven capabilities that amplify AI benefits.

Food for Agile Thought #531: AI Intensifies Work, Perils of Shipping Fast, Tragedy of Planning, Agile Manifesto at 25 - Age-of-Product.com

Food for Agile Thought #530: Orbital Data Centers? POM Success Factors, Status Rules Everything, Hiring Groupthink

by Stefan Wolpers | 2026-02-06 News

TL; DR: Orbital Data Centers? — Food for Agile Thought #530

Welcome to the 530th edition of the Food for Agile Thought newsletter, shared with 35,729 peers. This week, Dwarkesh Patel and John Collison press Elon Musk on orbital data centers, power limits, space solar for cheaper AI within three years, while Itamar Gilad urges experiments without hype, since discovery, constraints, maintenance, and outcomes still rule. Roman Pichler outlines a product operating model with long-lived products and empowered teams. Also, Deb Liu shares charts on adoption, costs, and uneven gains, and Tom Geraghty ties status to busyness rather than impact.

Next, Stephanie Leue shows how a “clear” strategy still burns teams out when priorities multiply, and she urges explicit trade-offs, surfaced hidden work, and ranked outcomes with visible de-scoping. Aakash Gupta describes Mike Bal’s AI native PM system using Cursor or Claude Desktop, MCP tools, and vetted research, and Arvind Narayanan challenges Moravec’s Paradox and calls for a diffusion-minded policy. Additionally, Benedict Brady automates AI-generated feedback into PRs, and Teresa Torres and Petra Wille reframe hiring as discovery.

Then, Scott Alexander reports on Moltbook’s first weekend, asking whether AI posts cause real effects, then maps influencers, spam, crypto manipulation, micro religions, builders, and fragile self-moderation. Greg Satell debunks change myths and urges committed minorities plus resistance planning, while Maarten Dalmijn warns that post-failure rules kill competence and trust. Also, Jayshree Seth and Amy C. Edmondson frame AI adoption as team learning with reviews and overrides. Lastly, Victor Yocco refocuses UX on trust, consent, and accountability.

Food for Agile Thought #530: Orbital Data Centers? POM Success Factors, Status Rules Everything, Hiring Groupthink - Age-of-Product.com

Food for Agile Thought #529: The OpenClaw/Clawdbot Fad, Broken Product Op. Models, Certainty Theater, Peter Drucker Is Back

by Stefan Wolpers | 2026-01-30 News

TL; DR: OpenClaw/Clawdbot Fad — Food for Agile Thought #529

Welcome to the 529th edition of the Food for Agile Thought newsletter, shared with 35,753 peers. This week, Jing Hu and Klaas Ardinois unpack OpenClaw/Clawdbot and the real tradeoffs and risks of always-on self-hosted agents, while Stephanie Leue shows how AI exposes broken product operating models and why builder teams beat bolt-on AI. Maarten Dalmijn reframes roadmaps as a choice between Red predictability and Blue adaptability, and Dario Amodei sketches near-term AI risks and safeguards. John Cutler calls out metrics theater and pushes outcome signals.

Next, Ant Murphy suggests product-tech teams can drop roles like BAs and Scrum Masters by pulling engineers into discovery, reducing dependencies, and shipping small batches with decoupled deploy and release. Wes Bush frames product-led growth as table stakes for AI software, with fast time-to-value, agents as users, and per-task pricing. Zvi Mowshowitz reviews Claude’s Constitution and its values-first stance, and Ethan Mollick treats management as the most critical AI skill. Also, Casey Newton repeats a crucial truth: AI creates work slop, so measure outcomes.

Then, Federico Viticci shows OpenClaw/Clawdbot, an LLM-based agent on a Mac mini that chats via Telegram, stores Markdown memory, adds MCP skills, and runs shell tasks, while raising app store policy questions. Mike Fisher links speed to focus, trust, and psychological safety, not pressure; Sean Goedecke treats estimates as political and replaces dates with options and risks, and Aakash Gupta, interviewing Sachin Rekhi, pushes AI prototyping to validate problem solution pairs fast. Lastly, Kieran Klaassen suggests that AI coding fails when planning disappears.