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Software Unscripted
Undo-Redo and Persistent State with Tom Ballinger
Season 1, Ep. 96
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Richard talks with Tom Ballinger about undo and redo in the context of REPLs and running effects, stateful systems in general, hot code loading, and database query planning.
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109. GPU Programming and Language Design with Chris Lattner
01:18:49||Ep. 109Richard talks with Swift, LLVM, Clang, and Mojo creator Chris Lattner about programming on the GPU and on the CPU, as well as a number of programming language design topics.Chris's "Democratizing AI Compute" blog series - https://www.modular.com/blog/democratizing-compute-part-1-deepseeks-impact-on-aiMojo https://www.modular.com/mojoRoc https://www.roc-lang.orgSoftware Unscripted episode with Futhark language creator https://pod.link/1602572955/episode/00564b1774ebe0e4225a630825ed3deeClaude 4 https://www.anthropic.com/news/claude-4108. Broken AI Discourse with Steve Klabnik
01:19:43||Season 1, Ep. 108Longtime Rust contributor Steve Klabnik talks with Richard about the broken state of AI discourse, from excessive hype to excessive hate, and reasonable alternatives we could pursue instead.Steve's blog post: "I am disappointed in the AI discourse" - https://steveklabnik.com/writing/i-am-disappointed-in-the-ai-discourse/Deep dive into why Rust's compile times are slow: https://www.pingcap.com/blog/rust-compilation-model-calamity/Y Combinator partners on "100x productivity" claims: https://www.youtube.com/watch?v=IACHfKmZMr8&t=155s107. Language Design Deep Dive with Elixir Creator José Valim
02:26:12||Season 1, Ep. 107Elixir creator José Valim goes into a very deep dive on language design with Richard, centered around some upcoming major design changes to the Roc programming language.- https://elixir-lang.org- https://roc-lang.org- Unison's algebraic effects: https://www.unison-lang.org/docs/fundamentals/abilities/- Koka's algebraic effects: https://koka-lang.github.io/koka/doc/book.html#why-effects- OCaml's algebraic effects: https://ocaml.org/manual/5.3/effects.html106. From Scala to Roc with Monica McGuigan
01:07:42||Season 1, Ep. 106Monica McGuigan, a Scala programmer at JP Morgan, talks with Richard about her experiences learning Roc with a Scala background. They get into topics like how language design affects beginners and experts, what parts of functional programming are easier and harder to learn than others, and how language designers inform their design decisions.Support Software Unscripted on Patreon: https://patreon.com/SoftwareUnscriptedMonica's chapter on JSON decoders: https://github.com/roc-lang/book-of-examples/pull/68Grapheme clusters: https://unicode.org/glossary/#extended_grapheme_clusterRoc's string operations: https://www.roc-lang.org/builtins/StrTalk: The Functional Purity Inference Plan: https://youtu.be/42TUAKhzlRI?si=TwxYoqMgh0UXQLfn105. Testing in Production with Mike Bryzek
01:17:50||Season 1, Ep. 105Mike Bryzek has been a technical cofounder of two very successful companies using some very unorthodox technical strategies that have worked out very well for him and his teams! These include testing in production, spending the first few months of a brand-new company's life investing in automation and tooling before shipping a product, and microservices - but not done in the way I've usually heard them described.Support Software Unscripted on Patreon: https://patreon.com/SoftwareUnscripted104. Building Video Editing Software with Andrew Lisowski
01:02:50||Season 1, Ep. 104Richard talks with Andrew Lisowski, a Senior Engineer at Descript - which makes audio and video editing software that has been used to edit this very podcast! They talk about some of the surprising challenges of dealing with video editing compared to audio alone, the economics of niche podcasts and programming conferences, and the evolution of Web browsers!Support Software Unscripted on Patreon: https://patreon.com/SoftwareUnscriptedDescript: https://www.descript.comAndrew Lisowski: https://www.hipstersmoothie.comdevtools.fm episode that was on HN frontpage: https://news.ycombinator.com/item?id=41301639Zencastr: https://zencastr.com/?via=richard-feldmanForced Aligners: https://github.com/MahmoudAshraf97/ctc-forced-alignerGentle Aligner: https://github.com/lowerquality/gentle103. The EYG Language with Peter Saxton
01:17:25||Season 1, Ep. 103Richard talks with Peter Saxton, creator of the EYG programming language, about the problems Peter aims to solve with EYG, and some of the unique design decisions he's made with it. A type-safe eval() operation even comes up in the discussion!Support Software Unscripted on Patreon: https://patreon.com/SoftwareUnscriptedEYG: https://eyg.runUnison: https://unison-lang.orgRoc: https://roc-lang.org102. AI in Programming Education with Will Sentance
59:21||Season 1, Ep. 102Richard talks with Will Sentance, the teacher of the Hard Parts series and the founder and CEO of CodeSmith, which is a Software Engineering and AI immersive education program. They talk about how AI is intersecting with modern programming education, what's considered "fundamentals" these days, and how Will thinks about teaching object-oriented and functional programming.Support Software Unscripted on Patreon: https://www.patreon.com/SoftwareUnscriptedJavaScript: The Hard Parts: https://frontendmasters.com/courses/javascript-hard-parts-v2/AI for Software Engineers: https://frontendmasters.com/workshops/engineering-and-ai/CodeSmith: https://www.codesmith.io/Richard's courses: https://frontendmasters.com/teachers/richard-feldman/#courses101. Software for Elite Athletes with Kyle Boddy
01:07:57||Season 1, Ep. 101Richard talks with Kyle Boddy about the biomechanical and data analysis software Kyle wrote—and continues to write—as the founder and CTO of Driveline Baseball, a data-driven player development company that has landed numerous players in Major League Baseball, including multiple Most Valuable Players and 2024's number one draft pick. They talk about Kyle's background in PHP and the C++ he wrote to coordinate budget high-speed cameras back when Driveline was a one-programmer garage shop, up through today where large language models have become an integral part of the development team's daily work.Driveline Baseball: https://www.drivelinebaseball.com/Washington Post article: https://www.washingtonpost.com/opinions/2024/04/10/op-moneyballai/Documentary about Driveline: https://youtu.be/K5Dnshu7atUPhind AI: https://www.phind.com