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.
Podcasting platform Q&A (Backstage #15)
Marc Beinder is building a podcast hosting web application as a part of his senior project while at Lindenwood University. In this brief Backstage episode, Marc picks Jerod’s brain about how we built our platform and challenges we ran into along the way.
When data leakage turns into a flood of trouble (Practical AI #109)
Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.
Shopify’s massive storefront rewrite (The Changelog #416)
Maxime Vaillancourt joined us to talk about Shopify’s massive storefront rewrite from a Ruby on Rails monolith to a completely new implementation written in Ruby. It’s a fairly well known opinion that rewrites are “the single worst strategic mistake that any software company can make” and generally something “you should never do.” But Maxime and the team at Shopify have proved successful in their efforts in this massive storefront rewrite and today’s conversation covers all the details.
Thank you, Dr. Bahmutov! (JS Party #148)
Gleb Bahmutov, PhD joins the show for a fun conversation around end-to-end testing. We get the skinny on Cypress, find out how it’s structured as both an open source library and a SaaS business, tease apart the various types of tests you may (or may not) want to have, and share a lot of laughs along the way.
Introducing your team to Go (Go Time #151)
Can’t find a job working in Go? Perhaps introducing your current team to Go is the solution. In this episode we talk about how Go was introduced at different organizations, potential pitfalls that may sabotage your efforts, some advice on how to convince your team and CTO to use Go and more.
Productionizing AI at LinkedIn (Practical AI #108)
Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.
Spotify's open platform for shipping at scale (The Changelog #415)
We’re joined by Jim Haughwout (Head of Infrastructure and Operations) and Stefan Ålund (Principal Product Manager) from Spotify to talk about how they manage hundreds of teams producing code and shipping at scale. Thanks to their recently open sourced open platform for building developer portals called Backstage, Spotify is able to keep engineering squads connected and shipping high-quality code quickly — without compromising autonomy.
Frontend Feud (JS Party #147)
Our much anticipated Family Feud rip-off inspired game show is finally here! Emma was joined by Nick and special guest Abenezer Abebe to form the Hypertext Assassins. KBall captained (despite never seeing Family Feud before) the DSL Destroyers with Mikeal and special guest Ali Spittel. Holler if you want MOAR Feud and check the outro for a chance to win some JS Party swag.
Cloud Native Go (Go Time #150)
What is cloud native? In this episode Johnny and Aaron explain it to Mat and Jon. They then dive into questions like, “What problems does this solve?” and “Why was Go such a good fit for this space?”
The team that fashioned Apollo 11 (The Changelog)
We’re helping Atlassian to promote Season 2 of Teamistry. If this is the first time you’re hearing about this podcast, Teamistry is an original podcast from Atlassian that tells the stories of teams who work together in new and unexpected ways, to achieve remarkable things. Today, we’re sharing a full-length episode from Season 1 which tells the story of the team that fashioned the Apollo 11 spacesuits. When Neil Armstrong stepped on the moon for the first time, we don’t actually see his face. We see his moonsuit. That moonsuit — in effect — is Neil Armstrong; an inseparable part of this historic moment. While the spacesuit kept him alive to tell that story in his own words, what went unnoticed is the extraordinary team that stitched it together.
Experimenting with Elixir Radar (Backstage #14)
We’re joined by co-founder of Plataformatec and curator of the excellent Elixir Radar newsletter, Hugo Baraúna. We talk Elixir podcasts, the start of a new chapter for Hugo, his experimentations with Elixir Radar, curating content, how to make money, stuff like that.
R, Data Science, & Computational Biology (Practical AI #107)
We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.
Redux is definitely NOT dead (JS Party #146)
Redux maintainer Mark Erikson joins Jerod and Amal for an in-depth conversation around the React community’s fav state management solution. We learn how Mark came to be maintainer of Redux, why and how Redux Toolkit came about, when to go with Redux vs other options, and much more. ALSO: prop drilling, the grep factor, & lasagna mode (oh my)
It's OK to self-care (Brain Science #31)
Most of us have heard how important “self-care” is and how important it can be for healthy living. But what exactly IS self-care? In this episode, not only do we define what self-care is, but we talk through the physical, emotional, and spiritual aspects of what’s involved in self-care and why this can so often be misunderstood and challenging. While we might be familiar with this term, many may not consider how they can be deliberate around managing themselves by both reflecting on and engaging in activities that help support their brains and bodies. It isn’t enough to simply know that self-care is important, rather discovering practical actions you can take to improve both how you feel and how you engage with the world.
There's a lot to learn about teaching Go (Go Time #149)
In this episode we dive into teaching Go, asking questions like, “What techniques work well for teaching programming?”, “What role does community play in education?”, and “What are the best ways to improve at Go as a beginner/intermediate/senior dev?”