AI is often framed as a technology rollout, but Melissa Reeve makes a different case: organizations that already know how to learn, adapt, and improve are better prepared for AI. In this BONUS episode, we connect Lean, Agile, DevOps, and AI-native work, and explore why Scrum Masters may be closer to the center of AI adoption than they think.
From Toyota Production System to AI-Native Work
“I didn’t really have words for what would later be my career. I didn’t know about systems thinking. I didn’t know about this thing called Agile.”
Melissa traces the through-line from studying the Toyota Production System in Tokyo, to early Agile marketing, to developing intellectual property at Scaled Agile, and finally to AI. Her point is that Lean, Agile, and AI-native work are not separate conversations. They all depend on sensing what is happening, shortening feedback loops, learning from reality, and improving the system instead of only optimizing individual tasks.
“Honor the wisdom of the group — they are more wise than any management, than any agile coach, because they are in the whole process themselves.” – Efe Gümüs
Efe brings a challenge he’s seen repeated across every company he’s worked with: transformation itself. Organizations adopt the Spotify model or launch Agile DevOps transformations expecting that applying a structure will produce results. But as Efe puts it, bringing developers and operations together does not make DevOps for you.
The real question most organizations skip is: what makes sense for our business, our products, our clients, our architecture? The transformation that works is the one you co-create with the people doing the work, not the one imposed from above. Efe points out that traditional management needs numbers and progress reports — and when transformations can’t deliver those in familiar formats, managers feel uneasy.
His approach: include managers in the transformation activities so they see the small gears of execution firsthand. When they experience the complexity directly, they stop expecting a webinar to change behavior. The key insight is the difference between telling people and people realizing it themselves — self-discovery always generates higher buy-in than directives. Set the direction, let people own the path, and build a system that functions without single-person dependencies.
Self-reflection Question: In the last transformation you were part of, was it designed as something done with the organization or to the organization — and what would you change if you could do it again?
Transform Your Agile Teams with Hard-Earned Lessons from Super-Experienced Scrum Masters
Do you wish you had decades of experience? Learn from the Best Scrum Masters In The World, Today!The Tips from the Trenches – Scrum Master edition audiobook includes hours of audio interviews with SM’s that have decades of experience: from Mike Cohn to Linda Rising, Christopher Avery, and many more. Super-experienced Scrum Masters share their hard-earned lessons with you. Learn those today, make your teams awesome!
About Efe Gümüs
Efe is an out-of-the-box Agile Coach and Scrum Master who brings fresh perspectives to Agile by connecting it with everyday life. He uses metaphors to reveal mindset patterns and applies continuous feedback loops beyond work, including music production and gym training, constantly refining performance, creativity, and personal growth and resilience.
AI Assisted Coding: How Spending 4x More on Code Quality Doubled Development Speed
What happens when you combine nearly 30 years of engineering experience with AI-assisted coding? In this episode, Eduardo Ferro shares his experiments showing that AI doesn’t replace good practices—it amplifies them. The result: doubled productivity while spending four times more on code quality.
Vibe Coding vs Production-Grade AI Development
“Vibe coding is flow-driven, curiosity-based way of building software with AI. It’s less about meticulously reviewing each line of code, and more about letting the AI steer the process—perfect for quick experiments, side projects, MVPs, and prototypes.”
Edu draws a clear distinction between vibe coding and production AI development. Vibe coding is exploration-focused, where you let AI drive while you learn and discover. Production AI coding is goal-focused, with careful planning, spec definition, and identification of edge cases before implementation. Both use small, safe steps and continuous conversation with the AI, but production code demands architectural thinking, security analysis, and sustainability practices. The key insight is that even vibe coding benefits from engineering discipline—as experiments grow, you need sustainable practices to maintain flexibility.
In this BONUS episode, the final installment of our Special Xmas 2025 reflection on Software-native businesses, we explore the five fundamental principles that form the operating system for software-native organizations. Building on the previous four episodes, this conversation provides the blueprint for building organizations that can adapt at the speed of modern business demands, where the average company lifespan on the S&P 500 has dropped from 33 years in the 1960s to a projected 12 years by 2027.
The Challenge of Adaptation
“What we’re observing in Ukraine is adaptation happening at a speed that would have been unthinkable in traditional military contexts – new drone capabilities emerge, countermeasures appear within days, and those get countered within weeks.”
The opening draws a powerful parallel between the rapid adaptation we’re witnessing in drone warfare and the existential threats facing modern businesses. While our businesses aren’t facing literal warfare, they are confronting dramatic disruption. Clayton Christensen documented this in “The Innovator’s Dilemma,” but what he observed in the 1970s and 80s is happening exponentially faster now, with software as the accelerant. If we can improve businesses’ chances of survival even by 10-15%, we’re talking about thousands of companies that could thrive instead of fail, millions of jobs preserved, and enormous value created. The central question becomes: how do you build an organization that can adapt at this speed?
Principle 1: Constant Experimentation with Tight Feedback Loops
“Everything becomes an experiment. Not in the sense of being reckless or uncommitted, but in being clear about what we’re testing and what we expect to learn. I call this: work like a scientist: learning is the goal.”
Software developers have practiced this for decades through Test-Driven Development, but now this TDD mindset is becoming the ruling metaphor for managing products and entire businesses. The practice involves framing every initiative with three clear elements: the goal (what are we trying to achieve?), the action (what specific thing will we do?), and the learning (what will we measure to know if it worked?). When a client says “we need to improve our retrospectives,” software-native organizations don’t just implement a new format. Instead, they connect it to business value – improving the NPS score for users of a specific feature by running focused retrospectives that explicitly target user pain points and tracking both the improvements implemented and the actual NPS impact. After two weeks, you know whether it worked. The experiment mindset means you’re always learning, never stuck. This is TDD applied to organizational change, and it’s powerful because every process change connects directly to customer outcomes.
Principle 2: Clear Connection to Business Value
“Software-native organizations don’t measure success by tasks completed, story points delivered, or features shipped. Or even cycle time or throughput. They measure success by business outcomes achieved.”
While this seems obvious, most organizations still optimize for output, not outcomes. The practice uses Impact Mapping or similar outcome-focused frameworks where every initiative answers three questions: What business behavior are we trying to change? How will we measure that change? What’s the minimum software needed to create that change? A financial services client wanted to “modernize their reporting system” – a 12-month initiative with dozens of features in project terms. Reframed through a business value lens, the goal became reducing time analysts spend preparing monthly reports from 80 hours to 20 hours, measured by tracking actual analyst time, starting with automating just the three most time-consuming report components. The first delivery reduced time to 50 hours – not perfect, but 30 hours saved, with clear learning about which parts of reporting actually mattered. The organization wasn’t trying to fulfill requirements; they were laser focused on the business value that actually mattered. When you’re connected to business value, you can adapt. When you’re committed to a feature list, you’re stuck.
Principle 3: Software as Value Amplifier
“Software isn’t just ‘something we do’ or a support function. Software is an amplifier of your business model. If your business model generates $X of value per customer through manual processes, software should help you generate $10X or more.”
Before investing in software, ask whether this can amplify your business model by 10x or more – not 10% improvement, but 10x. That’s the threshold where software’s unique properties (zero marginal cost, infinite scale, instant distribution) actually matter, and where the cost/value curve starts to invert. Remember: software is still the slowest and most expensive way to check if a feature would deliver value, so you better have a 10x or more expectation of return. Stripe exemplifies this principle perfectly. Before Stripe, accepting payments online required a merchant account (weeks to set up), integration with payment gateways (months of development), and PCI compliance (expensive and complex). Stripe reduced that to adding seven lines of code – not 10% easier, but 100x easier. This enabled an entire generation of internet businesses that couldn’t have existed otherwise: subscription services, marketplaces, on-demand platforms. That’s software as amplifier. It didn’t optimize the old model; it made new models possible. If your software initiatives are about 5-10% improvements, ask yourself: is software the right medium for this problem, or should you focus where software can create genuine amplification?
Principle 4: Software as Strategic Advantage
“Software-native organizations use software for strategic advantage and competitive differentiation, not just optimization, automation, or cost reduction. This means treating software development as part of your very strategy, not a way to implement a strategy that is separate from the software.”
How can software 10x the value we generate right now?
What can we do with software that competitors can’t easily replicate?
Where does software create a defensible advantage?
How does our software create compounding value over time?
Amazon Web Services didn’t start as a product strategy but emerged from Amazon building internal capabilities to run their e-commerce platform at scale. They realized they’d built infrastructure that was extremely hard to replicate and asked: “What if we offered it to others?” AWS became Amazon’s most profitable business – not because they optimized their existing retail business, but because they turned an internal capability into a strategic platform. The software wasn’t supporting the strategy – the software became the strategy. Compare this to companies that use software just for cost reduction or process optimization – they’re playing defense. Software-native companies use software to play offense, creating capabilities that change the competitive landscape. Continuous strategy means your software capabilities and your business strategy evolve together, in real-time, not in annual planning cycles.
Principle 5: Real-Time Observability and Adaptive Systems
“Software-native organizations use telemetry and real-time analytics not just to understand their software, but to understand their entire business and adapt dynamically. Observability practices from DevOps are actually ways of managing software delivery itself. We’re bootstrapping our own operating system for software businesses.”
This principle connects back to Principle 1 but takes it to the organizational level. The practice involves building systems that constantly sense what’s happening and can adapt in real-time: deploy with feature flags so you can turn capabilities on/off instantly, use A/B testing not just for UI tweaks but for business model experiments, instrument everything so you know how users actually behave, and build feedback loops that let the system respond automatically. Social media companies and algorithmic trading firms already operate this way. Instagram doesn’t deploy a new feed algorithm and wait six months to see if it works – they’re constantly testing variations, measuring engagement in real-time, adapting the algorithm continuously. The system is sensing and responding every second. High-frequency trading firms make thousands of micro-adjustments per day based on market signals. Imagine applying this to all businesses: a retail company that adjusts pricing, inventory, and promotions in real-time based on demand signals; a healthcare system that dynamically reallocates resources based on patient flow patterns; a logistics company whose routing algorithms adapt to traffic, weather, and delivery success rates continuously. This is the future of software-native organizations – not just fast decision-making, but systems that sense and adapt at software speed, with humans setting goals and constraints but software executing continuous optimization. We’re moving from “make a decision, deploy it, wait to see results” to “deploy multiple variants, measure continuously, let the system learn.” This closes the loop back to Principle 1 – everything is an experiment, but now the experiments run automatically at scale with near real-time signal collection and decision making.
It’s Experiments All The Way Down
“We established that software has become societal infrastructure. That software is different – it’s not a construction project with a fixed endpoint; it’s a living capability that evolves with the business.”
Today’s episode provides the blueprint – the five principles forming the operating system for software-native organizations. This isn’t theory. This is how software-native organizations already operate. The question isn’t whether this works – we know it does. The question is: how do you get started?
The Next Step In Building A Software-Native Organization
“This is how transformation starts – not with grand pronouncements or massive reorganizations, but with conversations and small experiments that compound over time. Software is too important to society to keep managing it wrong.”
Start this week by doing two things.
First, start a conversation: pick one of these five principles – whichever resonates most with your current challenges – and share it with your team or leadership. Don’t present it as “here’s what we should do” but as “here’s an interesting idea – what would this mean for us?” That conversation will reveal where you are, what’s blocking you, and what might be possible.
Second, run one small experiment: take something you’re currently doing and frame it as an experiment with a clear goal, action, and learning measure. Make it small, make it fast – one week maximum, 24 hours if you can – then stop and learn. You now have the blueprint. You understand the barriers. You’ve seen the alternatives. The transformation is possible, and it starts with you.
Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success.
In this BONUS episode we explore a topic that’s creating a lot of discussion—and sometimes confusion—in the software community: Platform Teams vs DevOps. In this conversation, we dive into Alvaro Lorente’s journey from delivery teams to platform leadership, exploring how to treat platforms as products, avoid common pitfalls, and build bridges between engineering and product leadership.
The Evolution from DevOps Role to Platform Team
“DevOps is a culture, not a role.”
Alvaro’s journey into platform work began when he joined a company where the infrastructure team was left behind and struggling with traditional DevOps approaches. Initially, they had a single DevOps person who became a bottleneck rather than an enabler. This experience highlighted a fundamental misunderstanding that many organizations face—treating DevOps as a job title rather than a cultural shift toward collaboration and shared responsibility. The team experimented with a “DevOps buddy” approach, placing experienced individuals within each delivery team, before eventually consolidating into a dedicated platform team with the clear intention of treating it as a product-focused unit.
Platform as a Product: A Scaling Strategy
“Platform as a product is a scaling strategy. Look for common problems that you can then solve once, and serve many.”
The concept of treating platforms as products emerged from recognizing that feature delivery teams have continuity and ongoing needs that a platform team should serve. Rather than solving their own problems first, successful platform teams focus on making other teams’ work easier and more comfortable while managing costs effectively. This approach requires identifying common problems across multiple teams and creating solutions that can be implemented once but serve many. The key insight is that platform teams exist to facilitate the delivery of value in a scalable way for other teams, not to pursue their own technical interests.
Understanding Your Customer and Validating Value
“I want to see platform team members talking to their customers. Understand their pains, and what they struggle with.”
Effective platform teams operate like any other product team by actively listening to their customer-teams rather than pushing ideas onto them. This means platform team members should regularly engage with their internal customers to understand pain points and struggles. Success requires defining clear KPIs for the platform and focusing on the quality of deliverables including release notes, demos, bug fixing processes, and feature prioritization. The validation comes from observing whether teams willingly adopt platform features rather than being mandated to use them.
Building Bridges with Product Leadership
“Focus on the key impact and value that the platform team can bring to the company.”
Making the case for investing product talent in platform teams requires demonstrating concrete business value. This includes quantifying how many incidents are being resolved faster or prevented entirely, and highlighting the money saved through internal platform development versus external solutions. Platform work offers excellent growth opportunities for Product Owners, serving as a training ground for product thinking and stakeholder management. The focus should always be on measurable impact rather than technical complexity.
Avoiding Common Platform Team Traps
“Don’t just start working on what you think is important! Start with the Product process, listen to the client-teams, and help them directly.”
When standing up a platform team, several critical mistakes can derail success. The most important trap to avoid is immediately diving into what the platform team thinks is important without first understanding customer needs. Platform teams should resist delivery pressure that might compromise quality and never mandate adoption of their features—teams should want to use what the platform provides. Treating the platform as a genuine product with quality standards is essential, and leaders should view the creation of a platform team as the beginning of a change management process rather than just a technical reorganization.
Resources and Continuous Learning
“One size does NOT fit all!”
For teams looking to improve their platform work, Alvaro recommends Camille Fournier’s work on platform teams and resources focused on “The value of product thinking in platform teams.” The key is to get experiments running within your team and recognize that there’s no universal solution—each organization must find its own path based on its unique context and needs.
Want to Improve Your Change Management Results? Discover the Lean Change Management Approach Today!
As Scrum Master we work with change continuously! Do you have your own change framework that provides the guidance, and queues you need when working with change? The Lean Change Management framework is a fully defined, lean-startup inspired change framework that can be used as the backbone of any change process!You can buy Lean Change Management the book at Amazon. Also available in French, Spanish, German and Portuguese.
About Alvaro Lorente
Currently Director of Engineering at Voxel (an Amadeus company), Alvaro is a software engineer who has grown in the people leadership path, experimenting with everything from product development to startups and open source projects. He embraces the idea of being a jack of all trades, helping wherever needed to drive value and impact.
Enter e-mail to download a clickable PO Cheat Sheet
This handy Coach Your PO cheat-sheet includes questions to help you define the problem, and links to handy, easy techniques to help you coach your Product Owner
Enter e-mail to download a clickable PO Cheat Sheet
This handy Coach Your PO cheat-sheet includes questions to help you define the problem, and links to handy, easy techniques to help you coach your Product Owner
Enter e-mail to download a checklist to help your PO manage their time
This simple checklist and calendar handout, with a coaching article will help you define the minimum enagement your PO must have with the team
Enter e-mail to download a checklist to help your PO manage their time
This simple checklist and calendar handout, with a coaching article will help you define the minimum enagement your PO must have with the team
Internal Conference
Checklist
Internal Conference
Checklist
Download a detailed How-To to help measure success for your team
Motivate your team with the right metrics, and the right way to visualize and track them. Marcus presents a detailed How-To document based on his experience at The Bungsu Hospital
Download a detailed How-To to help measure success for your team
Read about Visualization and
TRANSFORM
The way your team works
A moving story of how work at the Bungsu Hospital was transformed by a simple tool that you can use to help your team.
Read about Visualization and
TRANSFORM
The way your team works
Overcome Team Resistance and Gain Leadership Buy-In
Discover practical, real-world solutions from leading Agile practitioners. Download three free chapters from 'Tips from the Trenches Scrum Master Edition' and start transforming your Agile practices today!
Overcome Team Resistance and Gain Leadership Buy-In
Discover practical, real-world solutions from leading Agile practitioners. Access three free chapters from 'Tips from the Trenches Scrum Master Edition' and start transforming your Agile practices today!
Overcome Team Resistance and Gain Leadership Buy-In
Discover practical, real-world solutions from leading Agile practitioners.
Download three free chapters from 'Tips from the Trenches Scrum Master Edition' and start transforming your Agile practices today!
FREE! Audiobook Chapters: Overcome Team Resistance and Gain Leadership Buy-In
Download three free chapters from 'Tips from the Trenches Scrum Master Edition' and start transforming your Agile practices today!
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Efe is an out-of-the-box Agile Coach and Scrum Master who brings fresh perspectives to Agile by connecting it with everyday life. He uses metaphors to reveal mindset patterns and applies continuous feedback loops beyond work, including music production and gym training, constantly refining performance, creativity, and personal growth and resilience.
Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success.
As Scrum Master we work with change continuously! Do you have your own change framework that provides the guidance, and queues you need when working with change? 
Currently Director of Engineering at Voxel (an Amadeus company), Alvaro is a software engineer who has grown in the people leadership path, experimenting with everything from product development to startups and open source projects. He embraces the idea of being a jack of all trades, helping wherever needed to drive value and impact.