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In this episode of the Boston Quantara Podcast, we dive into what it takes to build software that can keep pace with the ever-evolving world of AI. Dan Kaslovsky shares a candid perspective on why software engineering is less about one-time builds and more about designing for constant change.
From modularity and testing to embracing best practices that support flexibility, we explore how teams can future-proof their work in a landscape where AI tools, models, and demands shift faster than ever.
Whether you’re leading a dev team or writing code yourself, this episode offers a grounded look at the engineering principles that matter most right now.
By Boston QuantaraIn this episode of the Boston Quantara Podcast, we dive into what it takes to build software that can keep pace with the ever-evolving world of AI. Dan Kaslovsky shares a candid perspective on why software engineering is less about one-time builds and more about designing for constant change.
From modularity and testing to embracing best practices that support flexibility, we explore how teams can future-proof their work in a landscape where AI tools, models, and demands shift faster than ever.
Whether you’re leading a dev team or writing code yourself, this episode offers a grounded look at the engineering principles that matter most right now.