Podcasts

Engineering Leadership: Building Culture, Career Growth, and Ownership

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Thiago Ghisi about building engineering culture through leading by example, advancing careers by embracing "glue work" (non-technical but necessary tasks), taking full ownership of projects, and developing self-awareness to choose between technical and management career paths.

Elisabeth Hendrickson on Systems Thinking for Quality Engineering

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Elisabeth Hendrickson about using systems thinking to understanding relationships between problem elements rather than focusing on individual parts, and how quality engineering practices become even more critical in the age of AI where tools can accelerate code production but humans need to remain in charge of verification.

Team Building in the Brave New World: Transforming Software Engineering Culture and Leadership

In this podcast, Shane Hastie, spoke to Duncan Grazier about transforming software engineering teams into polymorphic cultures where humans work alongside AI agents, requiring leaders to rethink career paths, focus more on communication and coaching skills, and navigate the implications of how the gap between junior and senior engineers rapidly closes due to AI augmentation.

Building Human-Centered Engineering Cultures with Leadership, Diversity, and Trust

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Tara Hernandez about the importance of building generative cultures with strong leadership development, psychological safety, diversity, and transparency over simply chasing new technologies. Technology should be a means to solve meaningful human problems rather than an end in itself.

Building a Product-First Engineering Culture in the Age of AI

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Zach Lloyd about building a product-first engineering culture, and the critical importance of developers learning to effectively use AI tools while maintaining responsibility for code quality and understanding fundamental programming principles.