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Programming Throwdown: Daily Summaries Delivered
by Patrick Wheeler and Jason Gauci
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.
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- 3 weeks ago1h 22m
189: Agentic Loops
Running AI in loop hands-free.
- Jul 9, 20261h 36m
188: World Models
Intro topic: RunningNews/Links:Flow matching versus diffusion modelshttps://youtu.be/firXjwZ_6KI?is=QMq8DcCsXTTktOuE OpenCV 5https://opencv.org/opencv-5/Claude fable beats pokemon with no harnesshttps://youtu.be/Ty_50J84fMY?si=EJ1KjZCZegipfCsV Can the stockmarket swallow Anthropic, SpaceX and OpenAI? https://archive.ph/nKEVwBook of the ShowPatrickStrength of the Few - James Islingtonhttps://amzn.to/4pmr10TJasonDescender - Jeff Lemirehttps://amzn.to/3QKhp3lPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrickNo Man’s SkyJasonPaperlib https://paperlib.app/en/ Topic: World ModelsMaking decisions with AIAction-Value (called a Q model): What is the long-term value of making a decision at a positionPolicy: What action should I take (must be a distribution)Value (called a V model): What is the value of a position (depends on policy)Advantage/Disadvantage: difference in value given two policiesWhen advantage is +, do that more.Model-FreeLook at the current situation and suggest an actionRun that action in the real world and measure the effectUse that measurement to suggest better actions next timeModel-BasedObserve rollouts (sequences of situations) and learn the dynamicsChoose an action, use your dynamics model to measure the consequencePotentially do MPC (try many actions and choose the best)World ModelsObserve many many rollouts and learn a full forward model (how to create the input in the future)Train a policy & value inside the world modelDeploy the policy and fine-tune based on the real world
- May 2, 20261h 38m
187: Agentic Coding
In this episode, Patrick and Jason cover Agentic Coding!
- Feb 3, 20261h 27m
186: Becoming a Manager
Patrick and Jason discuss what it means to become a manager and how the role differs from individual engineering work. They cover hiring, coaching, performance management, team goals, and when moving into management is or is not the right choice.
- Nov 4, 20251h 32m
185: Workflow Orchestrators
Patrick and Jason break down workflow orchestrators and why they matter for batch jobs, long-running tasks, and resumable distributed systems. They compare tools such as Airflow, Dagster, Temporal, Ray, and Kubeflow while explaining the infrastructure patterns behind them.
- Sep 23, 20251h 30m
184: Asynchronous Programming
Patrick and Jason explain asynchronous programming and how it differs from traditional multithreading and multiprocessing. They cover coroutines, blocking versus non-blocking operations, promises, callbacks, async/await, and the tradeoffs behind each approach.
- Jul 31, 20251h 46m
183: Landing a Software Job in 2025
Patrick and Jason are joined by Mark Cunningham to discuss how software engineers can find strong job opportunities and perform well throughout the interview process. They cover sourcing strategies, reverse interviews, negotiation, hiring-manager expectations, and common mistakes candidates should avoid.
- Jun 30, 20251h 37m
182: AI Assisted Coding
Patrick and Jason discuss how AI-assisted coding tools can speed up development, answer questions about a codebase, and reduce boilerplate work. They compare common workflows and tools such as Copilot, Cursor, and command-line assistants while talking through where these systems help most.
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About Programming Throwdown
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.
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