Discover the future of software from the people making it happen.Listen to some of the smartest developers we know talk about what they're working on, how they're trying to move the industry forward, and what you can learn from it. You might find the solution to your next architectural headache, pick up a new programming language, or just hear some good war stories from the frontline of technology.Join your host Kris Jenkins as we try to figure out what tomorrow's computing will look like the best way we know how - by listening directly to the developers' voices.
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Algorithms + Data Structures = Programs
The Algorithms + Data Structures = Programs Podcast (aka ADSP: The Podcast) is an informal podcast inspired by Magic Read Along. We plan to talk about whatever we feel like - algorithms, data structures, programming languages, latest news in tech and more. Feel free to follow us on Twitter at @adspthepodcast.
Nix, The Build-Everything Language (with Julian Arni)
Ever since we invented makefiles, the programming world has been wrestling with the problem of building software stacks reliably. This week we’re going to look at one of the most ambitious solutions available - Nix. Nix tries to do everything from invoking your compiler to installing your language, and even providing your operating system. But how does it work in theory, and how well does it work in practice?Joining me to discuss is Julian Arni, a Nix-enthusiast and creator of a build/test/deploy service called Garnix.Nix has been one of my go-to tools for years - I hope it’ll find its way into your stack.–Nix Overview: https://nixos.org/explore/Nix Tutorial: https://nix.dev/tutorials/first-steps/Nix Flakes: https://nixos.wiki/wiki/FlakesThe Nix Package List: https://search.nixos.org/packagesGarnix.IO: https://garnix.io/Julian’s NixCon Talk, Call by Hash: https://www.youtube.com/watch?v=fU9ogB9hZZASupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Image Editing as a Syntax Tree (with Keavon Chambers & Dennis Kobert)
Graphite is a new image editor with an interesting architecture - it’s a classic UI-driven app, an image-manipulation language, and a library of programmable graphics primitives that any Rust coder could use, extend or add to. The result is something that you can use like Photoshop or Inkscape, or make use of in batch pipelines, a bit like ImageMagick.Joining me to discuss it are Keavon Chambers & Dennis Kobert, who are hammering away on building a project that’s potentially as demanding as Photoshop, but with a more ambitious architecture. How can they hope to compete? Perhaps in the short term by doing what regular image And is the future of image editing modular?–Graphite Homepage: https://graphite.rs/Graphite Web Version: https://editor.graphite.rs/Signed Distance Fields: https://jasmcole.com/2019/10/03/signed-distance-fields/Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
ReScript: A Better Typed JavaScript? (with Gabriel Nordeborn)
ReScript is a strongly-typed programming language that compiles to JavaScript, and that puts it squarely in competition with TypeScript. So why would a JavaScript developer choose to learn it next? What does it offer that makes it a tempting proposition? And how are the ReScript developers making life easier for anyone who wants to make the switch?To answer all these questions and more, I’m joined this week by Gabriel Nordeborn, one of ReScript’s compiler contributors. --ReScript: https://rescript-lang.org/ReScript & React: https://rescript-lang.org/docs/react/latest/introductionReanalyze: https://github.com/rescript-lang/reanalyzeSupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinGabriel on BlueSky: https://bsky.app/profile/did:plc:c55mqp6e6r24rrrypkmx7kerKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
A universal query engine in Rust (with Predrag Gruevski)
Trustfall is a library based on a simple question - what happens if we can query absolutely anything? If you could join REST APIs and databases with filesystems and dockerfiles? It’s possible in theory because those are all just datasources. Predrag Gruevski is trying to make it easy by building a universal query engine, with pluggable datasources, all in Rust.This week we dive into Trustfall to figure out how it works. How do you model nearly anything as a datasource? How do you make it easy to extend? And what does it take to optimize a query that’s going to be spread out over multiple systems and potentially multiple servers? Questions, questions, questions - all about the act of asking our systems questions. 😃–Trustfall Source: https://github.com/obi1kenobi/trustfallCargo Semver Checks: https://crates.io/crates/cargo-semver-checksHow to Query Almost Everything: https://predr.ag/querying/SemVer In Rust (talk): https://predr.ag/blog/semver-in-rust-tooling-breakage-and-edge-cases/#cargo-semver-checks-lints-are-database-queries-in-disguiseSupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins
Raspberry Pi Hardware & A Lisp Brain (with Dimitris Kyriakoudis)
Dimitris Kyriakoudis is a researcher, programmer and musician who's combining all three talents to build dedicated music hardware. Specifically a device called the µseq, which reads Lisp programs and uses them to drive synthesizers to make music. In this episode we go through the full platform that he's building, from soldering resistors to an RPi chip, up through writing a Lisp interpreter, to the design ideas that make Lisp a good choice for composing both software and music.–uSeq Homepage: https://www.emutelabinstruments.co.uk/useq/Emute Lab’s Homepage: https://www.emutelab.org/Buy a uSeq: https://www.signalsounds.com/emute-lab-instruments-useq-live-coding-voltage-generator-eurorack-module/Build a uSeq (DIY Kit): https://www.thonk.co.uk/shop/emute-lab-useq/SICP (book): https://en.wikipedia.org/wiki/Structure_and_Interpretation_of_Computer_ProgramsMachina Bristronica (expo): https://machinabristronica.uk/Sonic Pi: https://sonic-pi.net/Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins–0:00 Intro2:20 What is µseq?5:40 Live Coding As Another Instrument17:42 Why Choose Lisp?25:03 Different Dialects For Different Musical Tasks?32:34 Live Coding As Academic Research44:11 How Do You Fabricate Production Hardware?49:00 The Triple-E Triangle1:09:53 How Well Has This Theory Worked Out?1:20:01 What's This Like To Play Live?1:25:17 Comparisons With Sonic Pi1:33:06 Outro
Software Systems Aren't Just Software (with Diana Montalion)
If you want to build really large software systems well, you have to stop thinking of them as just software systems. Beyond a certain size, everything your software touches becomes part of the wider system. You’re part of the system, your users are part of the system, and every other employee & department & priority eventually forms part of that system. And that can make it incredibly difficult to make changes, or even to understand which changes will actually matter.That might be overwhelming, but there's hope. Understanding how systems work and how to improve them is something that can be learnt, and improved at. So in the pursuit of better systems understanding, I’m joined this week by Diana Montalion, coder, architect, and author of Learning Systems Thinking. She takes us through how she sees systems, and how we can get better at discovering and understanding our own systems, as we both chew through some difficult systems we’ve worked on in the hope of figuring out how to do it better next time…–Learning Systems Thinking (book): https://www.amazon.co.uk/Learning-Systems-Thinking-Essential-Professionals-ebook/dp/B0D9KWZRT2Diana’s Website: https://montalion.com/Scientific Management (Tailorism): https://en.wikipedia.org/wiki/Scientific_managementJay Wright Forrester: https://en.wikipedia.org/wiki/Jay_Wright_ForresterSupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinDiana on LinkedIn: https://www.linkedin.com/in/dianamontalion/Diana on YouTube: https://www.youtube.com/@dianamontalionKris on BlueSky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Building Fyrox: A Rust Game Engine (with Dmitry Stepanov)
To kick off 2025 we’re looking at Fyrox a game engine built in Rust, largely by one person - Dmitry Stepanov. For an individual project, it’s covered an incredible amount of ground, covering the rendering and animation features you’d expect from a game engine, with some features that might surprise you - like Rust scripting support with hot-reloading.As we dive into Fyrox, Dmitry explains what it takes to build a game engine, why he chose Rust (and why he’s happy with the choice), and how one person can hope to build a project of that size.–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinFyrox Homepage: https://fyrox.rs/The Fyrox Book: https://fyrox-book.github.io/Rapier Physics Engine: https://rapier.rs/The Mine (on Steam): https://store.steampowered.com/app/898980/The_Mine/Dmitry’s Engine: https://github.com/mrDIMAS/DmitrysEngineGJK Collision Detection Algorithm: https://en.wikipedia.org/wiki/Gilbert%E2%80%93Johnson%E2%80%93Keerthi_distance_algorithmWPF: https://en.wikipedia.org/wiki/Windows_Presentation_FoundationPICO-8: https://www.lexaloffle.com/pico-8.phpKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins
Testing TVs At Scale With Elixir (with Dave Lucia)
Integration testing is always a tricky thing, fraught with problems setting up the right environment and attempting to control the system’s state. That’s particularly true when you’re dealing with a mix of software and hardware, and even worse when you don’t have control of what the hardware can do.This week I’m joined by Dave Lucia of TVLab’s, who’s building systems for testing television software at scale, and it’s a problem that needs a huge variety of techniques to crack it. He’s using cameras, real time video processing, Erlang & Elixir and a host of other tools to make it possible to test a fleet of televisions on demand.Sometimes good systems revolve around a single big idea; this time it’s a large combination of solutions, coordinated by the BEAM, that gets the job done.--TVLabs: https://tvlabs.ai/Flipper Zero: https://flipperzero.oneATSC 3.0 “NextGen TV”: https://en.wikipedia.org/wiki/ATSC_3.0Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Programming As An Expressive Instrument (with Sam Aaron)
Sam Aaron is the creator of Sonic Pi, one of the most unusual software platforms you’ll encounter. It’s a live-coding playground for making music. A tool that lets you write code that defines sounds and musical phrases, and build up a hole program that plays anything from a short bleep to a whole nightclub set. And Sam’s creator has been using it live for years, weaving drum & bass nights out of thin air, all driven by the Ruby-esque he writes.In this episode we go through Sam’s career path and design journey as we look at what it takes to make a programming language with enough expressivity and productivity to produce music at the speed of Sam’s imagination.--Sam’s Sonic Pi Course: https://www.patreon.com/posts/new-introductory-115404746Sonic Pi: https://sonic-pi.net/SuperCollider: https://supercollider.github.io/Overtone: https://github.com/overtone/overtonePower Gloves: https://en.wikipedia.org/wiki/Power_GloveWeb Audio API: https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_APITau5: https://www.patreon.com/posts/announcing-sonic-112605951Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Elm & The Future of Open Source (with Evan Czaplicki)
Evan Czaplicki—the creator of the Elm programming language —joins me to discuss the state and future of Elm, the friendly, type-safe functional programming language. On many fronts Elm has been a huge success: it’s been popular with new and seasoned programmers alike; it’s helped push several language ideas into the mainstream; it’s been a key part of several successful software businesses and he even found himself employed as a kind of Language Designer in Residence. And yet, the material rewards of a successful open-source project were…lacking. Was he naive? Can an open-source developer stay true to open-source principles and still make a decent living? Is open source being exploited by commercial software businesses? These topics and more tumble out of what has to be the first question in the podcast: What’s happening with Elm?--Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinElmLang: https://elm-lang.org/The Economics Of Programming Languages: https://www.youtube.com/watch?v=XZ3w_jec1v8Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Programmers, ADHD, And How To Manage Them Both (with Chris Ferdinandi)
This week we’re going to look at the most essential piece of firmware in a programmer’s toolkit - the brain. I’m joined by Chris Ferdinandi to explore what it’s like to be a programmer with ADHD. It’s an unusual topic for the channel, but the more I spoke to him, the more I wanted to know what coding is like when your brain is wired differently, how we can work more effectively with people with ADHD, and critically, how you manage coders with ADHD. And the answer to that comes full circle, in understanding how coders with ADHD manage themselves…–ADHDFTW Homepage: https://adhdftw.com/developer-voices/Do I Have ADHD? https://adhdftw.com/do-i-have-adhd/Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinChris on Mastodon: https://mastodon.social/@cferdinandiChris on BlueSky: https://bsky.app/profile/cferdinandi.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on BlueSky: https://bsky.app/profile/krisajenkins.bsky.social
MicroServices For Better And Worse (with Ian Cooper and James Lewis)
What have we learned from more than a decade of deploying microservices? Was it a good idea? Are we any better at figuring out what a microservice is, or where its boundaries lie? Does splitting things up create fragmentation problems? And is it too late to put the genie back in the bottle? This week we’re going to look at all these questions and more as we reflect on the lessons learnt from this big architectural idea.This interview was recorded live at GOTO Copenhagen, with two microservice experts and thinkers: James Lewis of Thoughtworks and Ian Cooper of JustEat. –Residuality Theory: https://leanpub.com/residualitySupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinIan on Mastodon: https://mastodon.social/@ICooper@hachyderm.ioJames on BlueSky: https://bsky.app/profile/boicy.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on BlueSky: https://bsky.app/profile/krisajenkins.bsky.socialKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins
Pony: High-Performance, Memory-Safe Actors (with Sean Allen)
Pony is a language born out of what should be a simple need - actor-style programming with C performance. On the face of it, that shouldn’t be too hard to do. Writing an actor framework isn’t trivial, but it’s well-trodden ground. The hard part is balancing performance and memory management. When your actors start passing hundreds of thousands of complex messages around, either you need some complex rules about who owns and frees which piece of memory, or you just copy every piece of data and kill your performance. Pony’s solution is a third way - a novel approach to memory management called reference capabilities.In this week’s Developer Voices, Sean Allen joins us from the Pony team to explain what reference capabilities are, how Pony uses them in its high-performance actor framework, and how they implement a garbage collector without stop-the-world pauses. The result is a language for performant actors, and a set of ideas bigger than the language itself…–Pony: https://www.ponylang.io/The Pony Tutorial: https://tutorial.ponylang.io/The Pony Playground: https://playground.ponylang.io/Azul Garbage Collector: https://www.azul.com/products/components/pgc/Shenandoah Garbage Collector: https://wiki.openjdk.org/display/shenandoah/MainA String of Ponies (Distributed Actors Paper): https://www.doc.ic.ac.uk/~scb12/publications/s.blessing.pdfGarbage Collection with Pony-ORCA: https://tutorial.ponylang.io/appendices/garbage-collection.html–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins
Architecting a Rust Game Engine (with Alice Cecile)
This week we take a look at Bevy, a new game engine written in Rust. And in particular, we look at a core component of Bevy that has something to teach you even if you never write a game: its Entity Component System, or ECS. An ECS is an approach to managing complex systems with large numbers of moving parts, that takes some inspiration from the Relational Database world, and a little from Functional Programming to build something entirely unique and surprisingly high-performance.Joining us to explain all is Alice Cecile. She’s part of the Bevy foundation, which is charting a course from data-management and rendering tool to fully-featured game development environment. A journey they’ve made huge progress on, but still expect to take another decade to come to full fruition. We look at the core ECS, and the wider project-management approaches they need to make the journey.–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinBevy: https://bevyengine.org/Bevy Examples: https://bevyengine.org/examples/Flecs (C++): https://github.com/SanderMertens/flecsTiny Glade (game): https://store.steampowered.com/app/2198150/Tiny_Glade/Alice on Mastodon: https://mastodon.gamedev.place/@alice_i_cecileKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins
Writing a CAD Language in Rust (with Adam Chalmers)
Given how many languages have been written in C over the years, it’s not surprising to see new languages being written in Rust. What is surprising about this week’s guest is the domain he’s writing for: Computer Aided Design (CAD). Could Rust be sneaking its way into the CAD world too?Joining me to discuss the design and implementation of a CAD programming language is Adam Chalmers. He works at Zoo, developing KCL - a language that looks like JavaScript, runs on Rust, and offers users a seamless hybrid experience of both coding and point-and-click modelling. So, how does that all fit together?In this episode we look at the design and implementation of a programming language in Rust; how KittyCAD creates that hybrid environment for text-based programming and point-and-click modelling; and how we can learn to write our own Rust-interpreted languages.–Adam’s Blog: https://adamchalmers.com/Adam’s Guide To Writing Parsers: https://www.youtube.com/watch?v=QF3kMyzMC40Zoo’s Modelling App: https://zoo.dev/modeling-appMechanical CAD: https://zoo.dev/blog/mechanical-cad-yesterday-today-and-tomorrowA Lego brick in KCL: https://zoo.dev/docs/kcl-samples/legoWinnow: https://docs.rs/winnow/latest/winnow/Nom: https://docs.rs/nom/latest/nom/Factorio: https://www.factorio.com/Satisfactory: https://store.steampowered.com/app/526870/Satisfactory/Crafting Interpreters: https://craftinginterpreters.com/Coding in Antarctica: https://brr.fyi/Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinAdam on Mastodon: https://mastodon.social/@adam_chal@hachyderm.ioKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Twitter: https://twitter.com/krisajenkins