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.
Containerizing compute driven workloads with Singularity (The Changelog #336)
We’re talking with Greg Kurtzer, the founder of CentOS, Warewulf, and most recently Singularity — an open source container platform designed to be simple, fast, and secure. Singularity is optimized for enterprise and high-performance computing workloads. What’s interesting is how Singularity allows untrusted users to run untrusted containers in a trusted way. We cover the backstory, Singularity Pro and how they’re not holding the open source community version hostage, as well as how Singularity is being used to containerize and support workflows in artificial intelligence, machine learning, deep learning, and more.
OpenAI's new "dangerous" GPT-2 language model (Practical AI #32)
This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models.
TensorFlow.js and Machine Learning in JavaScript (JS Party #64)
Panelists Suz Hinton and Nick Nisi discuss TensorFlow.js and Machine Learning in JavaScript with special guest Paige Bailey, TensorFlow mom and developer Advocate for Google AI.
Enabling open code for science at NumFOCUS (The Changelog #335)
We’re talking with Gina Helfrich the Communications Director for NumFOCUS about their story and history, the impact of open code on science, the difference between sponsored and affiliated projects, corporate backing, the back story of their education and events program PyData, and the struggles of storytelling and fundraising.
AI for social good at Intel (Practical AI #31)
While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing & Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all.
With great power comes great responsibility (The Changelog #334)
Adam and Jerod are joined by JS Party panelist Nick Nisi and #causeascene advocate Kim Crayton for a deep discussion on ethics in the technology industry at-large and our roles as software developers. If you’ve never heard Kim describe what life is like online for underrepresented and marginalized folks, you have to listen to this show!
LIVE from JSConf Hawai'i (JS Party #63)
KBall picks the brains of 4 of the speakers at JSConf Hawai’i to investigate the future of JavaScript and Web Development.
GirlsCoding.org empowers young women to embrace computer science (Practical AI #30)
Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter!
From voice devices to mobile, you just can't escape JS (JS Party #62)
KBall and Nick catch up with Nara Kaspergen and Jen Looper for a pair of conversations covering Voice UI Devices, using NativeScript for mobile development, and Jen’s work with Vue Vixens helping make the Vue.js community welcoming to women and non-binary people.
Tactical design advice for developers (The Changelog #333)
Adam talks with Erik Kennedy about tactical design advice for developers. Erik is a self-taught UI designer and brings a wealth of practical advice for those seeking to advance their design skills and learn more about user interface design. We cover his seven rules for creating gorgeous UI, the fundamentals of user interface design — color, typography, layout, and process. We also talk about his course Learn UI Design and how it’s the ultimate on-ramp for upcoming UI designers.
How Microsoft is using AI to help the Earth (Practical AI #29)
Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!
How great the (front end) divide (JS Party #61)
Panelists Nick Nisi, Suz Hinton, and Kevin Ball chat about the perceived Great Divide in front end development, why 2019 is the year of TypeScript, and shout outs to inspirational members of the community.
Laura Gaetano doesn't want to be a manager (Away from Keyboard #12)
Laura Gaetano was born in Italy, and by my count has lived in at least four different countries. Her multicultural upbringing has had a huge impact on her life. In fact, she currently works at the Travis Foundation with a focus on diversity and inclusion. We talk about her upbringing, her troubles with art school, the work she’s doing now, and changes that may be on the horizon.
A UI framework without the framework (The Changelog #332)
Jerod and Adam talked with Rich Harris –a JavaScript Journalist on The New York Times Investigations team– about his magical disappearing UI framework called Svelte. We compare and contrast Svelte to React, how the framework is embedded in a component, build time vs. run time, scoping CSS to components, and CSS in JavaScript. Rich also shares where Svelte v3 is heading and the details on Sapper, a framework for building extremely high-performance progressive web apps, powered by Svelte.
New year’s resolution: dive into deep learning! (Practical AI #28)
Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.