Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.
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The Changelog: Software Development, Open Source
Conversations with the hackers, leaders, and innovators of the software world. Hosts Adam Stacoviak and Jerod Santo face their imposter syndrome so you don’t have to. Expect in-depth interviews with the best and brightest in software engineering, open source, and leadership. This is a polyglot podcast. All programming languages, platforms, and communities are welcome. Open source moves fast. Keep up.
Go Time: Golang, Software Engineering
Your source for diverse discussions from around the Go community. This show records LIVE every Tuesday at 3pm US Eastern. Join the Golang community and chat with us during the show in the #gotimefm channel of Gophers slack. Panelists include Mat Ryer, Jon Calhoun, Carmen Andoh, Johnny Boursiquot, Angelica Hill, Mark Bates, Kris Brandow, and Natalie Pistunovich. We discuss cloud infrastructure, distributed systems, microservices, Kubernetes, Docker… oh and also Go! Some people search for GoTime or GoTimeFM and can’t find the show, so now the strings GoTime and GoTimeFM are in our description too.
The Cynical Developer
A UK based Technology and Software Developer Podcast that helps you to improve your development knowledge and career,
through explaining the latest and greatest in development technology and providing you with what you need to succeed as a developer.
Mojo might be huge, chatbots aren't it, big tech lacks an AI moat & monoliths are not dinosaurs (Changelog News #43)
Jeremy Howard thinks Mojo might be the biggest programming language advance in decades, Amelia Wattenberger is not impressed by AI chatbots, a leaked Google memo admits big tech has no AI moats & Werner Vogels reminds us that monoliths are not dinosaurs.
Selling to Enterprise (Founders Talk #96)
This week Adam is joined by Michael Grinich, Founder & CEO at WorkOS. Michael shares his journey to build WorkOS, what it takes to cross the Enterprise Chasm, and how he’s building his sales organization for growth.
SST and OpenNext (JS Party #274)
Dax Raad joins KBall and Nick to chat about SST, a framework that makes it easier to build full-stack applications on AWS. We chat about how the project got started and its goals. Then we discuss OpenNext, an open source, framework-agnostic server less adapter for Next.js.
Go + Wasm (Go Time #275)
The DevCycle team joins Jon & Kris for a deep conversation on WebAssembly (Wasm) and Go! After a high-level discussion of what Wasm is all about, we learn how they’re using it in production in cool and interesting ways. We finish up with a spicy unpop segment featuring buzzwords like “ChatGPT”, “LLM”, “NFT” and “AGI”
Livebook's big launch week (Changelog Interviews #538)
José Valim joins Jerod to talk all about what’s new in Livebook – the Elixir-based interactive code notebook he’s been working on the last few years. José made a big bet when he decided to bring machine learning to Elixir. That bet is now paying off with amazing new capabilities such as building and deploying a Whisper-based chat app to Hugging Face in just 15 minutes. José demoed that and much more during Livebook’s first-ever launch week. Let’s get into it.
Large models on CPUs (Practical AI #221)
Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all. Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.
Hyperswitch, the future of programming, Thoughtworks' latest tech radar & your docs aren't "simple" (Changelog News #42)
Hyperswitch is like the adapter pattern for payments, Austin Henley writes about the future of programming by summarizing recent research papers, Thoughtworks published their 28th volume of their Tech Radar, the team at General Products reminds devs to scan our technical writing for words such as “easy”, “painless”, “straightforward”, “trivial”, “simple” and “just” & we finish with a lightning round of cool tools.
CSS Color Party 🎉 (JS Party #273)
Adam Argyle joins Amelia and Nick to catch them up on all the goings on within the world of CSS colors. There are a lot more options than you’d expect if you haven’t been keeping up, and Adam’s here to help you avoid the “gray dead zone”!
Diversity at conferences (Go Time #274)
Go conferences are not as diverse as we’d like them to be. There are initiatives in place to improve this situation. Among other roles, Ronna Steinberg is the Head of Diversity at GopherCon Europe. In this episode we’ll learn more about the goal, the process and the problems, and how can each one of us help make this better.
Hard drive reliability at scale (Changelog Interviews #537)
This week Adam talks with Andy Klein from Backblaze about hard drive reliability at scale.
Causal inference (Practical AI #220)
With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.
Dataset wars, Bark, Kent Beck needs to recalibrate, StableLM & blind prompting is not prompt engineering (Changelog News #41)
The dataset wars are heating up, Bark is a transformer-based text-to-audio model that can generate highly realistic, multilingual speech as well as other audio, Kent Beck needs to recalibrate after using ChatGPT, the team behind Stable Diffusion release a new open source language model & Mitchel Hashimoto weighs in on prompt engineering.
Making "safe npm" (JS Party #272)
Feross and his team at Socket recently shipped a wrapper library for the ubiquitous npm package manager’s command-line interface that brings enhanced security when you need it most: before executing any code Bradly Farias lead this effort, so Jerod & Chris invited him on the show to learn all about it.
Builder journey to streaming data platform (Founders Talk #95)
This week Adam is joined by Alex Gallego, Founder & CEO at Redpanda Data, to share his builder journey to create the Redpanda streaming data platform.
Capabilities of LLMs 🤯 (Practical AI #219)
Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast. Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.