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.
The Tailwind beneath my wings (JS Party #155)
Tailwind CSS creator Adam Wathan joins Jerod, Nick, & Feross for an in-depth discussion of his trending utility-first CSS framework. We cover why everyone complains about CSS, how Tailwind began and how it gained popularity, how developers use with Tailwind and integrate it into their workflows, and how Adam has managed to build a business around the project. Thanks, Bette Midler!
What to expect when you’re NOT expecting (Go Time #159)
Mat Ryer hosts a spectacular panel with expert debuggers Derek Parker, Grant Seltzer Richman, and Hana Kim from the Go Team. Let’s face it, even the best-intended code doesn’t always do what you want it to. What’s a Gopher to do? Listen to this, that’s what!
From research to product at Azure AI (Practical AI #115)
Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.
How to design a great API (JS Party #154)
Suz, Amal, and Chris join Jerod to discuss what APIs are all about, share some APIs they admire, and lay out principles and practices we can all use in our APIs.
The engineer who changed the game (Go Time)
Today we’re sharing a full-length episode of Command Line Heroes from Season 6 for you to check out. We hand picked this episode for you to listen to. Many of us grew up playing cartridge-based games. But there’s few who know the story behind how those cartridges came to be. And even fewer who know the story of the man behind them: Jerry Lawson. Before Jerry, a gaming console could only play one game. Jerry quite literally changed the game. This episode shares Jerry’s story of inventing the cartridge-based system for gaming consoles.
Play with Go (Go Time #158)
Play with Go is a set of hands-on, interactive tutorials for learning the tools used while programming in Go. In this episode we are joined by its creators, Paul Jolly and Marcos Nils, as we learn more about what motivated the creation of the project, what technology it was built on, and how you can help contribute additional guides to help your fellow gophers!
Growing as a software engineer (The Changelog #422)
Gergely Orosz joined Adam for a conversation about his journey as a software engineer. Gergely recently stepped down from his role as Engineering Manager at Uber to pursue his next big thing. But, that next big thing isn’t quite clear to him yet. So, in the meantime, he has been using this break to write a few books and blog more so he can share what he’s learned along the way. He’s also validating some startup ideas he has on platform engineering. His first book is available to read now — it’s called The Tech Resume Inside Out and offers a practical guide to writing a tech resume written by the people who do the resume screening. Both topics gave us quite a bit to talk about.
The world's largest open library dataset (Practical AI #114)
Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.
The secret life of gophers (Go Time #157)
Join Mat Ryer for a fun conversation with Kris Brandow, Angelica Hill, and Natalie Pistunovich about how these Gophers get work/life done in this crazy world! Expect to learn about work environment must-haves, communication tips & tricks, developer tool recommendations, and much more!
A casual conversation concerning causal inference (Practical AI #113)
Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).
Balancing business and open source (Founders Talk #73)
Raj Dutt is the founder and CEO of Grafana Labs. Grafana has become the world’s most popular open source technology used to compose observability dashboards (we use Grafana here at Changelog). Raj and team are 100% focused on building a sustainable business around open source. They have this “big tent” open source ecosystem philosophy that’s driving every aspect of building their business around their open source, as well as other projects in the open source community. But, to understand the wisdom Raj is leading with today, we have to go back to where things got started. To do that we had to go back like Prince to 1999…
The future of Mac (The Changelog #421)
We have a BIG show for you today. We’re talking about the future of the Mac. Coming off of Apple’s “One more thing.” event to launch the Apple M1 chip and M1 powered Macs, we have a two part show giving you the perspective of Apple as well as a Mac app developer on the future of the Mac. Part 1 features Tim Triemstra from Apple. Tim is the Product Marketing Manager for Developer Technologies. He’s been at Apple for 15 years and the team he manages is responsible for developer tools and technologies including Xcode, Swift Playgrounds, the Swift language, and UNIX tools. Part 2 features Ken Case from The Omni Group. Ken is the Founder and CEO of The Omni Group and they’re well known for their Omni Productivity Suite including OmniFocus, OmniPlan, OmniGraffle, and OmniOutliner – all of which are developed for iOS & Mac.
Ionic and developer tooling (JS Party #153)
Nick, and Kball are joined by Mike Hartington to talk about Ionic, the state of web components, developer tooling, and more!
When distributed systems Go wrong (Go Time #156)
Monitoring and debugging distributed systems is hard. In this episode, we catch up with Kelsey Hightower, Stevenson Jean-Pierre, and Carlisia Thompson to get their insights on how to approach these challenges and talk about the tools and practices that make complex distributed systems more observable.
Building a deep learning workstation (Practical AI #112)
What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).