Applying TDD and XP in Graphical, Binary, and Legacy Codebases with Sam Taggart

What happens when Agile, Extreme Programming, and Test-Driven Development meet a world dominated by hardware, graphical programming, and binary artifacts? In this episode of the Mob Mentality Show, we’re joined by Sam Taggart to explore what it really takes to introduce modern software engineering practices into environments like LabVIEW, embedded systems, and industrial software teams. These are contexts where deployment can be slow, feedback loops can be expensive, and “just refactor it” feels like it is not an option. We dig into why applying XP, TDD, mob programming, and continuous integration looks very different when your software is tightly coupled to physical devices, firmware, and test equipment. Sam shares practical insights on adapting Agile ideas so they actually work in hardware-constrained environments, rather than forcing patterns designed for web apps onto teams that live in a very different reality. A major theme of the conversation is change. How do you sell new engineering practices to skeptical teams? How do you introduce better ways of working without triggering resistance or fear? And how do you help organizations move forward when legacy code, specialized tools, and long-established habits get in the way? We also spend time on a deceptively simple but critical idea: knowing what “good” looks like. From testing strategies and code quality to team collaboration and delivery confidence, having a clear vision of good engineering makes it far easier to experiment with better practices and avoid cargo-cult Agile. This episode is especially relevant if you work with LabVIEW, embedded systems, firmware, industrial or hardware-adjacent software, or if you’re leading teams where Agile adoption feels harder than the books make it sound. Topics include: - Applying TDD and XP in graphical, binary, and legacy codebases - Mob programming and collaboration in hardware-heavy environments - Continuous integration and delivery when deployment is constrained - Introducing Agile ideas without alienating experienced engineers - Reducing risk while improving feedback and quality - Helping teams see and aim for better engineering outcomes Video and Show Notes: https://youtu.be/Kxzn_2aYMIM