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.
Similar Podcasts
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.
Good tech debt (The Changelog #379)
Jon Thornton (Engineering Manager at Squarespace) joined the show to talk about tech debt by way of his post to the Squarespace engineering blog titled “3 Kinds of Good Tech Debt”. We talked through the concept of “good tech debt,” how to leverage it, how to manage it, who’s in charge of it, how it’s similar to ways we leverage financial debt, and how Squarespace uses tech debt to drive product development.
Shame on you (Brain Science #10)
Mireille and Adam discuss shame as an emotional and experiential construct. We dive into the neural structures involved in processing this emotion as well as the factors and implications of our experience of shame. Shame is a natural response to the threat of vulnerability and perception of oneself as defective or inherently “not enough.”
The soul of an old machine (The Changelog)
We partnered with Red Hat to promote Season 4 of Command Line Heroes — a podcast about the people who transform technology from the command line up. Season 4 is all about hardware that changed the game. We’re featuring episode 1 from season 4 — called “Minicomputers: The soul of an old machine.” This is the story of Minicomputers and how they paved the way for the personal computers that could fit in a bag and, eventually, the phones in our pockets. Learn more and subscribe at redhat.com/commandlineheroes.
Insights from the AI Index 2019 Annual Report (Practical AI #75)
Daniel and Chris do a deep dive into The AI Index 2019 Annual Report, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.
Open source meets climate science (The Changelog #378)
Anders Damsgaard is a climate science researcher working on cryosphere processes at the Department of Geophysics at Stanford University. He joined the show to talk with us about the intersection of open source and climate science. Specifically, we discuss a set of shell tools he created called The Scholarref Tools which allow you to perform most of the tasks required to gather the references needed during the writing phase of an academic paper. We also discuss climate science, physics, self hosting Git, and why Anders isn’t present on any “social” networks.
Do you want JavaScript again or more JavaScript? (JS Party #112)
It’s a new year which means companies are hiring and developers are interviewing. So we thought it would be fun to host a fun game of technical Jeopardy.
Grokking Go.dev (Go Time #115)
Carmen, Mat, and Jon are joined by Steve Francia and Julie Qiu to discuss the new Go.dev website. What was the motivation behind it? What technology was used to build it? How are they working to make package discovery better? And what resources are there to help you convince your manager to use Go on that upcoming project?
Testing ML systems (Practical AI #74)
Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.
Becoming an accidental founder (Founders Talk #68)
Mike McDerment is the founder and CEO of FreshBooks. Believe it or not, Mike became a founder by accident. Like many of us, Mike had an itch that he just had to scratch. One thing led to another and soon enough FreshBooks became a key tool in the belt of many freelancers and agencies looking for an easy way to send invoices and get paid quickly online. We talk through the early days of FreshBooks and how things came to be, why they created a secret competitor to iterate on a bold idea for the future of FreshBooks, and we also cover what keeps Mike excited.
Intro to Rust programming (The Changelog)
We teamed up with some friends of ours at Heroku to promote the Code-ish podcast so we’re sharing a full-length episode right here in The Changelog’s feed. This episode features Chris Castle with special guests Carol Nichols and Jake Goulding talking about the strengths of the Rust programming language. Learn more and subscribe at heroku.com/podcasts/codeish.
Lesser known things browsers can do in 2020 (JS Party #111)
Did you know you can make a device vibrate via a webpage? Neither did we until we popped open Luigi De Rosa’s super cool repo that collects many of the lesser known things browsers can do in 2020. On this episode we hang out on his list and discuss which APIs were surprises to us, which we think are the most useful, which we wish would die in a fire (sorta), and what you might get if you mash up a few of these APIs.
One small act of kindness (Brain Science #9)
Mireille and Adam dig deeper into empathy as a construct. What key brain structures are involved? How can we better understand empathy to be able to better navigate ourselves and our relationships with others both at home and in the workplace?
Cloudy with a chance of Kelsey Hightower (Go Time #114)
In this episode, we’re joined by Kelsey Hightower to discuss the evolution of cloud infrastructure management, the role Kubernetes and its API play in it, and how we, as developers and operators, should be adapting to these changes.
Meet Algo, your personal VPN in the cloud (The Changelog #377)
The commercial VPN industry is a minefield to navigate and many open source solutions are a pain to use or ill-suited for the task. Algo VPN, on the other hand, is a self-hosted personal VPN designed for ease of deployment and security. It uses the securest industry standards, builds on rock-solid solutions like WireGuard and Ansible, and runs on an ever-growing list of cloud hosting providers. On this episode Dan Guido –CEO of security firm Trail of Bits and Algo’s creator– joins Jerod to discuss the project in depth.
AI-driven automation in manufacturing (Practical AI #73)
One of the things people most associate with AI is automation, but how is AI actually shaping automation in manufacturing? Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and in their “microfactories.” He also discusses the unique challenges of developing AI models based on manufacturing data.