Podcasts

Understanding What Really Matters for Developer Productivity: A Conversation with Lizzie Matusov

In this podcast Michael Stiefel spoke with Lizzie Matusov about the dependency of effective, productive, and satisfied teams on good software architecture. Understanding this relationship requires understanding exactly what software productivity really is, how modern software engineering research has become more rigorous and practical, and how to apply that research to software development.

Facilitating Software Architecture with Andrew Harmel-Law

In this episode, Thomas Betts speaks with Andrew Harmel-Law about his new book, Facilitating Software Architecture: Empowering Teams to Make Architectural Decisions. The conversation includes a discussion of what constitutes an architecturally significant decision, how the practice of architecture is evolving, and how architects have a role to facilitate software architecture.

Your Software Will Fail; It is How You Recover That Matters: a Conversation with Randy Shoup

In this podcast Michael Stiefel spoke with Randy Shoup about how to build resilient systems. We discuss why it is a serious mistake to fail to acknowledge that software’s interaction with itself. We also discuss where to use workflows, orchestration or choreography, the role of architecture in building good teams, and the wisdom of letting each team use their own set of tools.

Dissecting the Intelligence of AI with Avraham Poupko

In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.

Apoorva Joshi on LLM Application Evaluation and Performance Improvements

In this podcast, Apoorva Joshi, senior AI developer advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.