Programming Throwdown

Patrick Wheeler and Jason Gauci
  • 4,8 (4)
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Programming Throwdown educates Computer Scientists and Software Engineers on a cavalcade of programming and tech topics. Every show will cover a new programming language, so listeners will be able to speak intelligently about any programming language.

  1. 185: Workflow Orchestrators

    4.11.

    185: Workflow Orchestrators

    Intro topic: Asymmetric Returns News/Links: NanoChat by Andrej Karpathyhttps://github.com/karpathy/nanochatPydantic AIhttps://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/1000th Starlink this yearhttps://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning-launch-of-starlink-satellites-from-california/ChatGPT Apps SDKhttps://openai.com/index/introducing-apps-in-chatgpt/Book of the Show PatrickThe Will of the Many by James Islingtonhttps://amzn.to/43IfU8QJasonInterview with DHH (Founder of Ruby on Rails)https://www.youtube.com/watch?v=vagyIcmIGOQ Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show PatrickFactoriohttps://www.factorio.com/ Jasonnip.io  Topic: Workflow Orchestrators WhyBatch jobs (embarrassingly parallel)Long-running tasks (e.g. transcoding video)Checkpointing/resumingHowMessage QueuesContainerizationWorker Pools & AutoscalingHistory & BackfillSteps to run workflows:Containerize the workflow definition and send to the cloudContainerize all the individual tasksSubmit job(s)ExamplesAirflowLegacy but dominantDagsterGreat UX for python developersTemporal: https://temporal.io/The new hotnessRayLow-level but very powerfulKubeflowDesigned for ML workflows, integrated dashboard ★ Support this podcast on Patreon ★

    1 t 32 min
  2. 184: Asynchronous Programming

    23.9.

    184: Asynchronous Programming

    184: Asynchronous Programming Intro topic: AI Scams News/Links: Coding Adventure: Ray-Tracing Glass and Caustics (Sebastian Lague)https://www.youtube.com/watch?v=wA1KVZ1eOuABoson AI announces Higgs Audio V2https://www.boson.ai/technologies/voice The Misconception that Almost Stopped AI [How Models Learn Part 1] (Welch Labs)https://www.youtube.com/watch?v=NrO20Jb-hy0A mind-bending conversation with Peter Thielhttps://www.nytimes.com/2025/07/11/podcasts/interesting-times-a-mind-bending-conversation-with-peter-thiel.htmlBook of the Show PatrickThe Hobbit (JRR Tolkien)https://amzn.to/4mevuzEJasonNYT Word Games Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show PatrickEscape Academyhttps://escapeacademygame.com/enJasonMulti-modal LLMs to make calendar meetingswww.chatgpt.com Topic: Asynchronous Computing What/WhyMulti-threading in between the linesMany of the benefits of multiprocessing without the overhead/complexityHowCoroutinesThread-Local MemoryBlocking vs Non-Blocking operationsBlocking: arithmeticNon-Blocking: Reading from the network card into thread-local memoryInterpreter lockingTypescript: Single threadedPython: GILImplementationsPolling (not-Asynchronous)Callbacks (interrupts)Multithreading (with queues/message passing)Promise/FuturesAsync/Await  ★ Support this podcast on Patreon ★

    1 t 31 min
  3. 183: Landing a Software Job in 2025

    31.7.

    183: Landing a Software Job in 2025

    00:00:00 Intro00:01:58 Introducing Mark Cunningham00:07:01 How Do You Find A Job?00:15:43 How to Get the Best Interview00:33:06 Tips on How To Pass An Interview00:38:38 How to Have a Good Interview00:48:12 What is the Reverse Interview?00:54:24 What Is The Hiring Manager's Role?00:57:12 Reverse Interviews: Red Flags01:14:45 How to Negotiate a Tech Offer01:23:02 When to Negotiate Your Compensation01:35:21 Interview Horror Stories01:39:29 How Do You Deal With Fake AI Applicants?01:45:32 The Bidding Network ★ Support this podcast on Patreon ★

    1 t 47 min
  4. 182: AI Assisted Coding

    30.6.

    182: AI Assisted Coding

    Intro topic: Getting an entry-level job News/Links: Mario Kart 64 Fully Decompiledhttps://gbatemp.net/threads/mario-kart-64-decompilation-project-reaches-100-completion.671104/Q-Learning is not yet scalablehttps://seohong.me/blog/q-learning-is-not-yet-scalable/Grover’s Algorithmhttps://www.youtube.com/watch?v=RQWpF2Gb-gU&vl=enOrangePi has a RISC-V SBChttps://linuxgizmos.com/orangepi-rv2-a-cost-effective-risc-v-board-with-m-2-2280-slot-and-dual-gigabit-ethernet/Book of the Show PatrickThe Will of the Many (James Islington)https://amzn.to/44DznszJasonThe Intelligence Traphttps://amzn.to/3TqoKCB Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show Patrick Pokemon Odysseyhttps://www.reddit.com/r/PokemonROMhacks/comments/1l9zdta/pok%C3%A9mon_odyssey_final_release/JasonNetflix Gameshttps://play.google.com/store/apps/dev?id=6891422865930303475&hl=en_US Topic:  WhySpeed up developmentCatch errors faster than type checking/compilingWriting tedious boilerplate codeAsk questions and learn local informationLook good for hiring managersHowExtensions for VSCode & other IDEs for inline suggestionsChat with a selection/fileCommand-line Tools run at the root directoryLocal vs CloudExamplesCopilot (VSCode extension)Use the experimental modeCursor (Custom IDE)Jumps to suggest changes in other placesSimilar to copilot experimental modeRooCode (VSCode extension) ★ Support this podcast on Patreon ★

    1 t 38 min
  5. 181: Memory Management

    12.5.

    181: Memory Management

    Intro topic: Video Game Prices News/Links: Step one: Jump in the Lava - Abyssofthttps://youtu.be/WdadpHLAfdA?si=oXYnhB0EdkR_RaPEScalable world models for continuous controlhttps://www.tdmpc2.com/Clever code is probably the worst code you could write - Engineer’s Codexhttps://read.engineerscodex.com/p/clever-code-is-probably-the-worstA new, open source text-to-speech model called Dia has arrived to challenge ElevenLabs, OpenAI and morehttps://venturebeat.com/ai/a-new-open-source-text-to-speech-model-called-dia-has-arrived-to-challenge-elevenlabs-openai-and-more/ Book of the Show PatrickThe Muscle Ladder - Jeff Nippardhttps://amzn.to/44DznszJasonMetaphysics of Warhttps://amzn.to/4jMjvZ5 Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show PatrickPokemon Trading Card Game PocketJasonPhi-4https://huggingface.co/spaces/microsoft/phi-4-multimodal Topic: Memory Management MotivationAvoid thrashing / crashesAllocate resources efficientlyKeep high uptimeWhereOS LevelHeap managementVirtual MemoryLanguage/Compiler LevelCppGarbage collectionOwnershipToolsInstrumentationExport to Datadog / GrafanaPython: psutil & tracemallocValgrindWhat to do when your program uses too much memory?Reduce data sizesCompressionReferencesLazy initializerGenerators & Back PressureRing buffersArena allocatorsDisk based caching ★ Support this podcast on Patreon ★

    1 t 46 min
  6. 180: Reinforcement Learning

    17.3.

    180: Reinforcement Learning

    Intro topic: Grills News/Links: You can’t call yourself a senior until you’ve worked on a legacy projecthttps://www.infobip.com/developers/blog/seniors-working-on-a-legacy-projectRecraft might be the most powerful AI image platform I’ve ever used — here’s whyhttps://www.tomsguide.com/ai/ai-image-video/recraft-might-be-the-most-powerful-ai-image-platform-ive-ever-used-heres-whyNASA has a list of 10 rules for software developmenthttps://www.cs.otago.ac.nz/cosc345/resources/nasa-10-rules.htmAMD Radeon RX 9070 XT performance estimates leaked: 42% to 66% faster than Radeon RX 7900 GREhttps://www.tomshardware.com/tech-industry/amd-estimates-of-radeon-rx-9070-xt-performance-leaked-42-percent-66-percent-faster-than-radeon-rx-7900-gre  Book of the Show Patrick: The Player of Games (Ian M Banks)https://a.co/d/1ZpUhGl (non-affiliate)Jason: Basic Roleplaying Universal Game Enginehttps://amzn.to/3ES4p5i Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show Patrick: Pokemon Sword and ShieldJason: Features and Labels ( https://fal.ai ) Topic: Reinforcement Learning Three types of AISupervised LearningUnsupervised LearningReinforcement LearningOnline vs Offline RLOptimization algorithmsValue optimizationSARSAQ-LearningPolicy optimizationPolicy GradientsActor-CriticProximal Policy OptimizationValue vs Policy OptimizationValue optimization is more intuitive (Value loss)Policy optimization is less intuitive at first (policy gradients)Converting values to policies in deep learning is difficultImitation LearningSupervised policy learningOften used to bootstrap reinforcement learningPolicy EvaluationPropensity scoring versus model-basedChallenges to training RL modelTwo optimization loopsCollecting feedback vs updating the modelDifficult optimization targetPolicy evaluationRLHF &  GRPO ★ Support this podcast on Patreon ★

    1 t 52 min
  7. 179: Project Planning

    3.2.

    179: Project Planning

    Intro topic: Lego event space & retail store: https://www.instagram.com/bambeecave  News/Links: StackOverflow Question Count Going Down https://gist.github.com/hopeseekr/f522e380e35745bd5bdc3269a9f0b132DeepSeek claims its ‘reasoning’ model beats OpenAI’s o1 on certain benchmarkshttps://techcrunch.com/2025/01/20/deepseek-claims-its-reasoning-model-beats-openais-o1-on-certain-benchmarks/ Computer Science Papers Every Developer Should Readhttps://newsletter.techworld-with-milan.com/p/computer-science-papers-every-developerNvidia Cosmos - an AI platform to change the future of robots and cars - wins Best of CES 2025https://www.zdnet.com/article/nvidia-signs-largest-car-maker-toyota-to-use-its-self-driving-tech/  Book of the Show Patrick: Alice’s Adventures in a differentiable wonderlandhttps://www.sscardapane.it/alice-book/Jason: A Beautiful Day in the Neighborhood (Hulu/Netflix/etc) Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show Patrick: Digseumhttps://store.steampowered.com/app/3361470/Digseum/Jason: Sqlitedict - Python dictionaries saved to disk Topic: Project Planning and Management Why?Gathering feedbackIdentifying risksDeciding future headcountDocumenting / discovering dependenciesCritical pathScheduleReduce the bullwhip effectHow it worksSMART goalsspecific, measurable, achievable, relevant, and time-boundMT is most importantGantt ChartsScrumAgileKanbanToolsWhiteboard (the generic IRL one)Post it notesJIRAAsanaOpenProjectDealing with uncertaintyBufferingIssues with recursive paddingProject planning Post-Mortems ★ Support this podcast on Patreon ★

    1 t 43 min

  8. 03.12.2024

    178: Working from Home

    Intro topic: Smart homes News/Links: SpaceX Starship Flight Test Five / Sixhttps://www.youtube.com/watch?v=pIKI7y3DTXkShareDBhttps://github.com/share/sharedbOrion AR Glasseshttps://about.fb.com/news/2024/09/introducing-orion-our-first-true-augmented-reality-glasses/Blade and Sorcery 1.0 is outhttps://www.meta.com/experiences/blade-sorcery-nomad/2031826350263349/Book of the Show Patrick: The Book that Wouldn’t Burn by Mark Lawrencehttps://amzn.to/4fry2XWJason: Masters of Doomhttps://amzn.to/3YxuD3c Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h Tool of the Show Patrick: Balatrohttps://www.playbalatro.com/Jason: Cursor IDEhttps://www.cursor.com/Topic: Working from Home IntroBackground & WFH experiencesIs it Panacea?Realizing it works better for some than othersInternally MotivatedSchedulingCommunicationsHome SetupDedicated spaceHandling Non-work DistractionsKeyboards, Monitors, Music, … Desk related thingsThe specter of RTO ★ Support this podcast on Patreon ★

    1 t 45 min
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Tietoja

Programming Throwdown educates Computer Scientists and Software Engineers on a cavalcade of programming and tech topics. Every show will cover a new programming language, so listeners will be able to speak intelligently about any programming language.

Tiedot

  • Tekijä
    Patrick Wheeler and Jason Gauci
  • Julkaisuvuodet
    2011 - 2025
  • Jaksot
    186
  • Luokitus
    Lapsille sopiva
  • Copyright
    ℗ & © 2011 Programming Throwdown
  • Ohjelman sivusto
    Programming Throwdown

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