The Mob Mentality Show

What happens when a college software design course ditches traditional lectures and embraces Mob Programming? In this episode of the Mob Mentality Show, we sit down with Ben Kovitz, a former software developer turned professor at Cal Poly Humboldt, to explore his innovative approach to teaching software design through mobbing. Topics Covered: ✅ From Industry to Academia: Why Ben left software development to become a professor and how he discovered mob programming. ✅ Redefining Software Education: Instead of 30 traditional lectures on software design, Ben’s students learn by doing—designing software while coding. ✅ The Power of Mobbing in the Classroom: How students collaborate in the mob of 8, rapidly sharing knowledge and tackling challenges together. ✅ Fast Learning vs. Lectures: Why mobbing enables faster knowledge transfer compared to passive lectures. ✅ Strong-Style Navigation: How rotations and fast timers helped to stimulate a highly effective learning environment. ✅ The Role of the Navigator: How students help each other navigate, learn C++ and the QT framework, and document key lessons from each mob session. ✅ Real-World Software Challenges: Simulating legacy code maintenance, evolutionary design, and design patterns like MVC (Model-View-Controller). ✅ Overcoming Student Struggles: What happens when students don’t know how to navigate? How asking for help and learning together fosters growth. ✅ Teaching Through Experience: Letting students experiment with flawed solutions before introducing better design principles. ✅ Assessment & Engagement: How Ben measures student participation, engagement, and learning outcomes in a mobbing environment. Why This Matters: Traditional software design education can leave students unprepared for the realities of refactoring real code and collaborative development. By integrating Mob Programming, refactoring techniques, and hands-on problem-solving, Ben Kovitz is equipping the next generation of developers with practical, real-world skills and deeper design insights. 📢 Subscribe to the Mob Mentality Show to stay updated on the latest insights in Mob Programming, Extreme Programming (XP), Agile, and collaborative software development! 🎧 Listen on your favorite podcast platform: https://www.mobmentalityshow.com 🔔 Don’t forget to LIKE, COMMENT, and SUBSCRIBE for more episodes on software development, coding education, and team collaboration! Video and Show Notes: https://youtu.be/Rajvp2nrg1A  

Garrick West, a seasoned XP practitioner and Agile coach, shares insights from his rich history in software development, starting with coding at age 10. He discusses effective strategies for building great developers through mentorship and an apprenticeship model. The conversation dives into mastering debugging with key techniques and the significance of communication. Additionally, Garrick emphasizes the revival of Extreme Programming, making it crucial for Agile teams today, while advocating for stronger collaborations between industry experts and academia.

🚀 How do Game Jams accelerate learning? Can mobbing make game development more effective? In this episode of the Mob Mentality Show, we dive deep into Game Jams, Mobbing, and Game Dev Collaboration with James Herr—a full-stack developer, game dev enthusiast, and published game creator on Steam. 🎮 What You'll Learn in This Episode: 🔹 What Are Game Jams and why they’re a must-try for devs? 🔹 The tech stacks and tools commonly used in Game Jams 🔹 How themes shape a Game Jam’s creativity and constraints 🔹 How James is bringing mobbing into Game Jams 🔹 The difference between solo development, swarming, and full mobbing? 🔹 Pros & Cons of Mobbing Game Jams—Does it boost creativity or slow things down? 🔹 How Discord & Twitch fuel real-time game dev collaboration 🔹 Can Twitch chat act as a “navigator” in game development? Does the live audience guide decisions? 🔹 How Game Jams reveal code smells faster and teach refactoring & design patterns 🔹 Why public game dev can be a game-changer for learning speed 🔹 How Game Jams can simulate real-world software challenges and improve teamwork 🔹 Mob timer tools & Git handover techniques for smoother collaboration 🤝 Why This Episode Matters: Mobbing isn’t just for software teams—it’s transforming game development, learning, and onboarding. James shares his firsthand experience mobbing with kids, running Game Jams with cross-discipline teams, and teaching mobbing roles in game dev. Whether you’re a seasoned developer, indie game creator, or just curious about Game Jams, this episode is packed with actionable insights! 📢 Want to Join the Game Dev Community? James discusses how Discord and Twitch connect developers worldwide, making it easy to collaborate, get feedback, and learn from others. Checkout James' communities here: https://jamcraft.io/  🎧 Subscribe & Listen Now! Don’t miss out! Subscribe to the Mob Mentality Show and get notified when this episode drops: 🔗 https://www.mobmentalityshow.com/ Video and Show Notes: https://youtu.be/AZEH_FmBBKs 

Join Jason Swett, an author and Rails testing expert, as he dives into the world of automated testing. He sheds light on common misconceptions about Test-Driven Development (TDD) and discusses why many developers struggle with testing. Jason emphasizes the importance of understanding the essence of a test versus mere verification. He also explores how to improve software testing practices and the role of automation in development, sharing insights on transforming testing into a more effective process. Prepare to rethink your testing strategies!

How often should Agile teams reflect and adjust? Is your team on a road with switchbacks but they are not turning the wheel? In this episode of The Mob Mentality Show, we take a deep dive into Agile Principle #12, which states: "At regular intervals, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly." From a Mob Programming perspective, we explore what "tuning and adjusting" really looks like in high-uncertainty, high-interdependence work. Is it like steering a car, constantly making small adjustments, or is it something that requires far less steering? How do different approaches—Waterfall, 2 Week Scrum, and Mob Programming—each handle batch size and feedback loops with continuous improvement? In This Episode, We Discuss: ✅ Agile Principle #12—How it drives continuous improvement in teams ✅ "Regular Intervals"—Comparing Waterfall, 2-week Scrum sprints, and healthy mobbing ✅ Batch Size & Effectiveness—How small adjustments impact team agility ✅ Single vs. Double Loop Learning—Which leads to deeper team growth? ✅ Diversity & Focus—Does learning together accelerate improvement more than learning separately? ✅ The Cynefin Model—Navigating uncertainty and complexity in Agile work ✅ Liminal Thinking—How belief structures and assumptions impact team reflection Many teams go through the motions of retrospectives, but are they truly adjusting their behavior effectively?  Join us for this insightful discussion where we challenge assumptions, explore deeper learning, and uncover the best ways to reflect, adapt, and improve as a team. 🎧 Subscribe & Listen: Don't miss this episode! Subscribe on your favorite platform here: 🔗 https://www.mobmentalityshow.com/ 📩 Connect with Us Let us know your thoughts in the comments! How does your team reflect and adjust? Video and Show Notes: https://youtu.be/ikmWgj44g28 

How do you balance small, iterative progress with the vast unknowns of research and development (R&D)? Can test-driven development (TDD) literally or "in spirit" still provide value when you're navigating uncharted territory? In this episode of the Mob Mentality Show, we dive deep into the intersection of R&D Mobbing and software development, exploring real-world scenarios, strategies, and challenges teams face when innovating under uncertainty. What You’ll Learn in This Episode: 🔬 Chris's Journey with Mob Randori & R&D: From "we don’t know what we’re doing" to "we know what we’re doing"—how mob programming helped transform uncertainty into effective delivery. 🛠️ R&D vs. CD? Can teams practice continuous delivery (CD) even when tackling complex, unknown problem spaces? If so, is there a change in what is "delivered"?  📌 Keeping Small Steps & Feedback Loops in R&D: TDD is known for its rapid feedback and endorphin kicks—but how do you retain those benefits when exploring an unfamiliar landscape? 🔄 Adjusting Your Mobbing for the Task at Hand: When should you modify your mob programming approach to fit the nature of research-driven work versus production-level development? 🧗‍♂️ Clean Code Spelunking & Navigating the Unknown: Techniques for digging deep into existing codebases while ensuring safety and maintaining forward momentum. 🚩 Feature Flags & Safety in R&D: How to experiment with new ideas and do Trunk Based Development (TBD) without introducing instability to production. 📊 Transparency, Visualization & Business Buy-in: Addressing stakeholder fear of an "infinite problem space." 🧠 The Inverse of ZOMBIES in R&D Mode: How do you maintain focus, momentum, and value delivery when dealing with high levels of uncertainty? ⚡ Real-Life R&D Success Stories & Lessons Learned: Practical examples of mob programming driving R&D innovation in high-unknown environments. If you’ve ever wondered how to keep experimentation structured, learning fast, and delivery continuous—even when dealing with complex unknowns—this episode is for you! 📌 Watch More Episodes & Subscribe on Your Favorite Platform: https://www.mobmentalityshow.com/ 🔔 Don’t miss future episodes—hit the subscribe button! Video and Show Notes: https://youtu.be/nipbhFopqMM 

Discover whether having a full-time domain expert in a Mob truly embodies the DDD dream. Explore the trade-offs of quick access versus full immersion and hear real-world stories of product owners that illustrate the impact on team effectiveness. Delve into the advantages of faster decisions and deeper collaboration paired with potential downsides, such as staying current in their field. The discussion also highlights the synergy of domain expertise with agile mob programming and the critical role effective naming plays in enhancing software development clarity.

Can a combo of Large Language Models (LLMs) and Domain-Specific Languages (DSLs) streamline development by automating repetitive patterns across teams? In this Mob Mentality Show episode, we dive deep into the intersection of AI-driven automation, code generation, and lean software development. Join us as we explore: ✅ The "Generator for the Generator" Concept – How AI-powered tools and Mob Programming can create DSLs that automate code generation at scale. ✅ Handling Cross-Domain Development with DSLs – How DSL arguments can be leveraged to generate applications across multiple domains while maintaining usability. ✅ Serverless Infrastructure as Code (IaC) & Auto-Generated Apps – How to use DSLs to automate cloud deployment with Angular or Streamlit apps. ✅ The Challenge of UI/UX in Generated Code – When UI is too generic, does it hurt usability? Can a DSL strike the right balance between automation and user experience? ✅ Regeneration vs. Continuous Development – Should teams work exclusively in the DSL, or also refine the code it generates? How to handle sync issues when regenerating applications. ✅ Turning Docs into Code with a DSL Converter – Automating workflows by transforming team documentation into executable code. ✅ Mob Automationist Role Inception – Is the next evolution of Mob Programming automating the automation? ✅ ZOMBIE Test Generation & Nested Python Dictionaries – How automated testing fits into the DSL-driven workflow and whether a DSL can be as simple as a structured Python dictionary. 🎯 Whether you’re a software engineer, an agile practitioner, or just fascinated by AI-driven development, this episode is packed with real-world insights into DSLs, LLMs, and the future of lean automation. 🔔 Don't miss out! Subscribe to the Mob Mentality Show on your favorite platform: 👉 https://www.mobmentalityshow.com/ Video and Show Notes: https://youtu.be/0q3jaX6_bfw 

Aaron Griffith, a software developer and mob programming expert, teams up with Parker Barrett, a fellow developer focused on AI integration and test-driven development. They delve into how AI is revolutionizing software development by enhancing mob programming practices. The duo discusses the powerful synergy between human teams and AI tools like ChatGPT and GitHub Copilot. They also explore AI-driven test development strategies, address the quirks of AI hallucinations, and share real-world applications in collaborative coding, making for an engaging and insightful conversation.

In this thought-provoking episode of the Mob Mentality Show, we dive into the world of extreme ownership within a multi-mobbing environment. What happens when a mob/team wants to make a decision, like extracting a method, refactoring to a new pattern, or reorganizing code boundaries? Should that decision wait for approval from outside teams? Or does extreme ownership mean trusting the mob to act autonomously for maximum flow efficiency? Topics Discussed: Autonomy vs. Consensus: Should mobs prioritize quick decision-making or seek input from external teams? Multi-Mob Context: Exploring the dynamics of multiple mobs interacting and how to handle shared ownership of repositories and projects. Inverse Conway Maneuver: Can designing your organization’s team structures to match the architecture you want your systems to have prevent this problem? Lean Thinking and Efficiency: How waiting for approvals from external owners can create lean wastes. Boundary Flexibility: Should code and team boundaries be rigid or adaptable to changing circumstances? The Monolith vs. Microservices Debate: Is the real issue a technical architecture debate or is the root problem found elsewhere? Scenarios and Examples: A hypothetical comparison of shared ownership in MS Word vs. MS Excel. The impact of Joe Justice’s Law on decision-making and team interactions. The challenge of managing too many communication nodes in multi-team environments. Key Questions Discussed: Is it more valuable to reduce the number of teams interacting with a repo? Should boundaries of ownership evolve with time? How can we balance flow efficiency with healthy collaboration across teams? How does "Nothing in Tech Matters Except XP" impact this discussion? Subscribe and Stay Connected: Don’t miss this insightful episode as we unravel these questions and more! Discover how the principles of extreme ownership and mob programming can transform team dynamics and decision-making processes in software development. 📢 Subscribe to the Mob Mentality Show on your favorite platform: https://www.mobmentalityshow.com. 🔔 Like, comment, and share to join the discussion and stay updated on upcoming episodes! Video and Show Notes: https://youtu.be/rAT-EurLnrI