Episodios

  • How Vulnerability Creates Magic in Agile Leadership | Renee Troughton
    Oct 16 2025
    Renee Troughton: From Lower-Order to Higher-Order Values in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "If you, as a senior leader, demonstrate vulnerability, it creates real magic in an organization where others can open up and be their authentic self." Renee defines success for Scrum Masters through deeply human values: integrity, holding her truth, being compassionately authentic, caring, open, honest, listening, and vulnerable. She emphasizes that vulnerability as a senior leader creates transformative magic in organizations, allowing others to bring their authentic selves to work. Drawing on Byron Katie's "Loving What Is" and Frederick Laloux's "Reinventing Organizations," Renee explains that many corporate organizations focus on lower-order values like results and performance, while more autonomous organizations prioritize higher-order values rooted in the heart. When having conversations with people, Renee connects with them as human beings first—not rushing to business if someone is struggling personally. Success means seeing people completely for who they are, not as resources to be changed or leveraged. The foundation for collaboration, empowerment, and autonomy is trust, respect, and safety. Renee emphasizes that without these fundamental values in place, everything else implodes. She demonstrates how vulnerability, active listening, and accepting people where they are creates the fertile ground for successful teams and organizations. Self-reflection Question: Do you demonstrate vulnerability as a leader, creating space for others to bring their authentic selves to work, or do you hide behind a professional facade that prevents genuine human connection? Featured Retrospective Format for the Week: Themed Retrospectives (Monopoly, Sports, Current Events) "It gave a freshness to it. And it gave almost like a livelihood or a joyfulness to it as an activity as well." Renee recommends themed retrospectives like the Monopoly Retro or sports-themed formats that use current events or cultural references (aka metaphor retrospectives). While working at a consultancy, they would theme retrospectives every week around different topics—football, news events, or various scenarios—using collages of pictures showing different emotions (upset, angry, happy). Team members would identify with feelings and reframe their week within the theme's context, such as "it was a rough game" or "we didn't score enough goals." The brilliance of this approach is covering the same retrospective questions while bringing freshness, creativity, and joyfulness to the activity. These metaphorical formats allow teams to verbalize things that aren't easily expressible in structured formats, triggering different perspectives and creative thinking. The format stays consistent while feeling completely new, maintaining engagement while avoiding retrospective fatigue. [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn’t just about innovation—it’s about coaching!🔥 Angela thought she was just there to coach a team. But now, she’s caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn’t just about the product—it’s about the people. 🚨 Will Angela’s coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue. Buy Now on Amazon [The Scrum Master Toolbox Podcast Recommends] About Renee Troughton Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work. Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast. You can link with Renee Troughton on LinkedIn.
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    16 m
  • Managing Dependencies and Downstream Bottlenecks in Scrum | Renee Troughton
    Oct 15 2025
    Renee Troughton: Managing Dependencies and Downstream Bottlenecks in Scrum

    Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.

    "For the actual product teams, it's not a problem for them... It's more the downstream teams that aren't the product teams, that are still dependencies... They just don't see that work until, hey, we urgently need this."

    Renee brings a dual-edged challenge from her current work with dozens of teams across multiple business lines. While quarterly planning happens at a high level, small downstream teams—middleware, AI, data, and even non-technical teams like legal—are not considered in the planning process. These teams experience unexpected work floods with dramatic peaks and troughs throughout the quarter. The product teams are comfortable with ambiguity and incremental delivery, but downstream service teams don't see work coming until it arrives urgently. Through a coaching conversation, Renee and Vasco explore multiple experimental approaches: top-to-bottom stack ranking of initiatives, holding excess capacity based on historical patterns, shared code ownership where downstream teams advise rather than execute changes, and using Theory of Constraints to manage flow into bottleneck teams. They discuss how lack of discovery work compounds the problem, as teams "just start working" without identifying all players who need involvement. The solution requires balancing multiple strategies while maintaining an experimentation mindset, recognizing that complex systems require sensing our way toward solutions rather than predicting them.

    Self-reflection Question: Are you actively managing the flow of work to prevent downstream bottlenecks, or are you allowing your "downstream teams" to be repeatedly overwhelmed by last-minute urgent requests?

    [The Scrum Master Toolbox Podcast Recommends]

    🔥In the ruthless world of fintech, success isn’t just about innovation—it’s about coaching!🔥

    Angela thought she was just there to coach a team. But now, she’s caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn’t just about the product—it’s about the people.

    🚨 Will Angela’s coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.

    Buy Now on Amazon

    [The Scrum Master Toolbox Podcast Recommends]

    About Renee Troughton

    Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work.

    Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.

    You can link with Renee Troughton on LinkedIn.

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    17 m
  • The Hidden Cost of Constant Restructuring in Agile Organizations | Renee Troughton
    Oct 14 2025
    Renee Troughton: The Hidden Cost of Constant Restructuring in Agile Organizations

    Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.

    "Trust and safety are the most fundamental foundations of a team to perform. And so you are just breaking the core of teams when you're doing this."

    Renee challenges us to look beyond team dysfunction and examine the "dirty little secrets" in organizations—leadership-driven anti-patterns that destroy team performance. She reveals a cyclical pattern of constant restructuring that occurs every six months in many organizations, driven by leaders who avoid difficult performance management conversations and instead force people through redundancy rounds. This creates a cascade of fear, panic, and victim mindset throughout the organization. Beyond restructuring, Renee identifies other destructive patterns including the C-suite shuffle (where new CEOs bring in their own teams, cascading change throughout the organization) and the insourcing/outsourcing swings that create chaos over 5-8 year cycles. These high-level decisions drain productivity for months as teams storm and reform, losing critical knowledge and breaking the trust and safety that are fundamental for high performance. Renee emphasizes that as Agile coaches and Scrum Masters, we often don't feel empowered to challenge these decisions, yet they represent the biggest drain on organizational productivity.

    Self-reflection Question: Have you identified the cyclical organizational anti-patterns in your workplace, and do you have the courage to raise these systemic issues with senior leadership?

    Featured Book of the Week: Loving What Is by Byron Katie

    "It teaches you around how to reframe your thoughts in the day-to-day life, to assess them in a different light than you would normally perceive them to be."

    Renee recommends "Loving What Is" by Byron Katie as an essential tool for Scrum Master introspection. This book teaches practical techniques for reframing thoughts and recognizing that problems we perceive "out there" are often internal framing issues. Katie's method, called "The Work," provides a worksheet-based approach to introspection that helps identify when our perceptions create unnecessary suffering. Renee also highlights Marshall Rosenberg's "Nonviolent Communication" as a companion book, which uses language to tap into underlying emotions and needs. Both books offer practical, actionable techniques for self-knowledge—a critical skill for anyone in the Scrum Master role. The journey these books provide leads to inner peace through understanding that many challenges stem from how we internally frame situations rather than external reality.

    We have many episodes on NVC, Nonviolent Communication, which you can dive into and learn from experienced practitioners.

    [The Scrum Master Toolbox Podcast Recommends]

    🔥In the ruthless world of fintech, success isn’t just about innovation—it’s about coaching!🔥

    Angela thought she was just there to coach a team. But now, she’s caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn’t just about the product—it’s about the people.

    🚨 Will Angela’s coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.

    Buy Now on Amazon

    [The Scrum Master Toolbox Podcast Recommends]

    About Renee Troughton

    Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work.

    Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.

    You can link with Renee Troughton on LinkedIn.

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    16 m
  • When Leadership Says "Just Make It Work" in Agile | Renee Troughton
    Oct 13 2025
    Renee Troughton: How to Navigate Mandatory Deadlines in Scrum

    Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.

    "I said to the CIO at the time, we're not going to hit this. In fact, we'll be... I can actually tell you, we're gonna be 3 weeks late... And he said: ‘Just make it work!’"

    Renee shares a powerful story from her work on a mandatory legislative compliance project where reality clashed with executive expectations. Working with a team new to Agile, she carefully established velocity over two sprints and projected the delivery timeline. The challenge intensified when sales continued promising bespoke features to clients while the deadline remained fixed. Despite transparently communicating the team would miss the mandatory date by three weeks, leadership demanded she "just make it work" without providing solutions. Renee found herself creating a misleading burn-up chart to satisfy executive confidence, while the organization played a dangerous game of chicken—waiting for another implementer to admit delays first. This experience taught her the critical importance of courage in conversations with leaders and the need to clearly separate business decisions from development team responsibilities. Sometimes the best we can do is provide transparency and let leaders own the consequences of their choices.

    In this episode, we refer to the seminal book on large projects: The Mythical Man Month, by Frederick Brooks.

    Self-reflection Question: When faced with unrealistic demands from leadership, do you have the courage to maintain transparency about your team's reality, even when it means refusing to create false artifacts of confidence?

    [The Scrum Master Toolbox Podcast Recommends]

    🔥In the ruthless world of fintech, success isn’t just about innovation—it’s about coaching!🔥

    Angela thought she was just there to coach a team. But now, she’s caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn’t just about the product—it’s about the people.

    🚨 Will Angela’s coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.

    Buy Now on Amazon

    [The Scrum Master Toolbox Podcast Recommends]

    About Renee Troughton

    Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work.

    Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.

    You can link with Renee Troughton on LinkedIn.

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    15 m
  • BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development | Jakob Wolman, Wilko Nienhaus
    Oct 10 2025
    BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development, With Jakob Wolman and Wilko Nienhaus In this BONUS episode, we explore the critical differences between building software as a consultant versus inside a product company. Jakob Wolman contributed an insightful article to the Global Agile Summit book examining how third-party software development operates under entirely different constraints than in-house product development. Joined by Wilko Nienhaus, CTO of Vaimo, a consulting company in Estonia, we dive into ownership dynamics, misaligned incentives, contracting challenges, and the business pressures that shape consulting—along with practical stories from the field about what really works. The Cobbler's Shoes Problem "I come back to the office from this workshop, and suddenly, with these eyes on looking for improvements in process, I just suddenly am hit by this revelation of why things are so slow here? Why are we working so inefficiently?" Jakob describes the striking paradox many consultancies face: they excel at helping clients improve their processes while their own internal operations remain inefficient. This "shoemaker's children" phenomenon reflects a fundamental challenge in consulting—the difficulty of investing in your own improvements when all energy flows toward billable client work. Digital agencies often have outdated or poorly implemented websites despite building sophisticated solutions for others, illustrating how consultancies struggle to apply their own expertise internally. Misaligned Incentives Create Antagonistic Dynamics "It's almost as if the clients are actually paying us to be slow, because our incentive is to spend more time on achieving what the client wants, because we get paid by the hour." The incentive structures in consulting create inherent conflicts that don't exist in product companies. Consultants typically bill by the hour, creating a perverse incentive to spend more time rather than deliver efficiently. Meanwhile, clients pursue business outcomes and want results as quickly and cheaply as possible. This fundamental misalignment leads to: Clients adopting a procurement mindset, treating software development like ordering from a catalog A "wall" between stakeholders and development teams that's even stronger than in product companies Antagonistic relationships where scope changes feel like financial traps rather than necessary learning Contracting processes that reinforce waterfall thinking even when both parties claim to want agility Wilko emphasizes that contracting has a huge impact on these dynamics, and companies must deliberately change their engagement models to break free from these patterns. The Budgeting Trap and Specification Overload "Because of this budgeting process where you now need to motivate what this budget does, or you need to spend that budget, you essentially create this necessity to define everything." Consulting projects often suffer from the same problem that plagued waterfall development: annual budgeting cycles that force stakeholders to cram everything into a single specification. When there's only one chance per year to secure funding, everyone stuffs the requirements document with every conceivable feature, leading to: Massive specifications that attempt to predict all needs upfront Endless discovery meetings and documentation that add cost without improving outcomes Developers working from outdated assumptions with delayed feedback Clients who don't really know what they want but feel pressured to specify everything Jakob points out the frustration that "we've already fixed this problem" in product development through iterative approaches, yet it keeps reappearing in consulting because of the separation between entities. Ownership and Quality in Consulting Environments "Skilled engineers will be frustrated if they're not allowed to do a proper job. People that have spent a lot of time in an environment where they're never allowed to do a proper job, or maybe even punished for doing a proper job, they will have given up, and not care." The difference in ownership between product and consulting development profoundly affects how engineers think about quality, technical debt, and long-term design. In product companies, developers know they'll maintain their code, creating natural incentives for quality. In consulting, the transient nature of engagements can erode quality standards. Key challenges include: Engineers knowing they won't return to the codebase, reducing long-term thinking Clients who lack technical expertise dictating approaches they don't understand Pressure to complete fixed-scope contracts regardless of quality trade-offs The role of estimates in forcing teams to "just complete this thing" even when learning suggests changes Wilko notes that teams controlled by clients versus teams managed as stable units by the consultancy show ...
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    43 m
  • From Deterministic to AI-Driven—The New Paradigm of Software Development | Markus Hjort
    Oct 9 2025
    AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern. Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, ...
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    44 m
  • Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models | Alan Cyment
    Oct 8 2025
    AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI’s O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and ...
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    46 m
  • Agile Meets AI—How to Code Fast Without Breaking Things | Llewellyn Falco
    Oct 7 2025
    AI Assisted Coding: Agile Meets AI—How to Code Fast Without Breaking Things, With Llewellyn Falco In this BONUS episode we explore the practice of coding with AI—not just the buzzwords, but the real-world experience. Our guest, Llewellyn Falco, has been learning by doing, exploring the space of AI-assisted coding from the experimental and intuitive—what some call vibecoding—to the more structured world of professional, world-class software engineering. This is a conversation for practitioners who want to understand what's actually happening on the ground when we code with AI. Understanding Vibecoding "You can now program without looking at code. When you're in that space, vibecoding is the word we're using to say, we are programming in a way that does not relate to programming last year." The software development landscape shifted dramatically in early 2025. Vibecoding represents a fundamental change in how we create software—programming without constantly looking at the code itself. This approach removes many traditional limitations around technology, language, and device constraints, allowing developers to move seamlessly between different contexts. However, this power comes with responsibility, as developers can now move so fast that traditional safety practices become even more critical. From Concept to Working App in 15 Minutes "We wrote just a markdown page of ‘here's what we want this to look like’. And then we fed that to Claude Code. And 15 minutes later we had a working app on the phone." At the Agile 2025 conference in Denver, Llewellyn participated in a hackathon focused on helping psychologists prevent child abuse. Working with customer Amanda, a psychologist, and data scientist Rachel, the team identified a critical problem: clinicians weren't using the most effective parenting intervention technique because recording 60 micro-interactions in 5 minutes was too difficult and time-consuming. The team's approach embodied lean startup principles turned up to eleven. After understanding the customer's needs through exposition and conversation, they created a simple markdown specification and used Claude Code to generate a working mobile app in just 15 minutes. When Amanda tested it, she was moved to tears—after 20 years of trying to make progress on this problem, she finally had hope. Over three days, the team released 61 iterations, constantly getting feedback and refining the solution. Iterative Development Still Matters When Coding With AI "We need to see things working to know what to deliver next. That's never going to change. Unless you're building something that's already there." The team's success wasn't about writing a complete requirements document upfront. Instead, they delivered a minimal viable product quickly, tested it with real users, and iterated based on feedback. This agile approach proved essential even—or especially—when working with AI. One breakthrough came when Amanda used the number keypad instead of looking at her phone screen. With her full attention on the training video she'd watched hundreds of times, she noticed an interaction she had missed before. At that moment, the team knew they had created real value, regardless of what additional features they might build. Good Engineering Practices Without Looking at Code "We asked it to do good engineering practices, even though we didn't really understand what it was doing. We just sort of say, okay, yeah, that seems sensible." A critical moment came when the code had grown large and complex. Rather than diving into the code themselves, Llewellyn and his partner Lotta asked the AI to refactor the code to make a panel easy to switch before actually making the change. They verified functionality worked through manual testing but never looked at how the refactoring was implemented. This demonstrates that developers can maintain good practices like refactoring and clean architecture even when working at a higher level of abstraction. Key practices for AI-assisted development include: Don't accept AI's default settings—they're based on popularity, not best practices Prime the AI with the practices you want it to use through configuration files Tell AI to be honest and help you avoid mistakes, not just be agreeable Ask for explanations of architecture and evaluate whether approaches make sense Keep important decisions documented in markdown files that can be referenced later “The documentation is now executable. I can turn it into code” "The documentation is now executable. I can turn it into code. If I had to choose between losing my documentation or losing my code, I would keep the docs. I think I could regenerate the code pretty easily." In this new paradigm, documentation takes on new importance—it becomes the specification from which code can be regenerated. The team created and continuously updated markdown files for project context, architecture, and ...
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    49 m