Architecture Sensitivity Points; Interactions with AI Assistance

In this episode of the CaSE Podcast, Sven Johann, Alex Heusingfeld, and Heinrich Hartmann dive into the concept of sensitivity points in software architecture, using the recent Volkswagen data leak as a striking example. They explore how seemingly minor architectural decisions and code changes can carry massive implications when balancing trade-offs like data privacy versus functionality. The trio also discusses the growing impact of AI-assisted development, reflecting on practical experiences with tools like ChatGPT, Cursor, and GitHub Copilot.

Om Podcasten

Conversations about Software Engineering (CaSE) is a podcast for software engineers about technology, software engineering, software architecture, reliability engineering, and data engineering. The three of us regularly come together to discuss recent events or articles, exchange on our learnings, and reflect on our professional and personal experiences. Additionally our guest episodes feature engaging conversations with interesting people from the world of software engineering.