Richard Feldman

Richard Feldman, creator of the Roc programming language, discusses object-oriented programming, functional programming, and the advantages of using pure functions. They compare programming languages and explore the complexities of compiler building. They also talk about the influences from Elm and Go on Roc's development, building on top of Git, and the limitations of hot code loading.

Richard Feldman, Elm pioneer and creator of the Roc programming language, discusses his motivations for developing Roc as an evolution of Elm. He shares insights on governance models, emphasizing simplicity and user feedback in programming design. The conversation dives into how teaching Elm shaped Roc’s features, and how it aims to integrate seamlessly with existing systems. Additionally, Richard highlights the unique role of platforms in Roc, setting it apart from traditional languages and enhancing development experiences.

Richard Feldman, author of the innovative Roc lang and a software engineer at Zed, dives into the future of programming. They discuss Roc's unique features like quick compilation and friendly error messaging, which aim to simplify coding. The conversation explores Zed's AI-integrated code editor, enhancing search indexing, and novel error handling methods. Feldman shares insights into designing programming languages and the async model of Roc, hinting at how these advancements could reshape the developer experience.

Richard Feldman and James Lewis discuss the innovation in functional programming, the creation of the Roc programming language, and its unique features. They compare Roc with other languages, explore the importance of performance optimization in coding, and highlight the potential of Roc in the dynamic world of functional programming.

Richard Feldman, developer of the Roc programming language, discusses the language's inspiration and the challenges of using floats in data structures. They explore tag unions in Roc dictionaries and opportunistic mutation. The podcast also touches on the challenges of sorting and computing the median in functional programming, and the influences on Roc from languages like Elm, Rust, Haskell, and CoffeeScript.