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.
Git with your friends (The Changelog #526)
This week we invited our friend Mat Ryer to join us for some good conversation about some Git tooling that’s been on our radar. You may know Mat from Go Time and also Grafana’s Big Tent, which we help to produce. We speculate, we discuss, we laugh, and Mat even breaks into song a few times. It’s good fun.
Generative AI for devs (JS Party #262)
The panel dives into the current hot topic that is Generative AI. They start by defining it (a surprisingly difficult topic), then go into experiences they’ve had, how to get started working with it as a developer, and where they think it will and will not be useful in the near future.
Is htmx the way to Go? (Go Time #266)
A quick look at the history of building web apps, followed by a discussion of htmx and how it compares to both modern and traditional ways of building.
MLOps is alive and well (Practical AI #210)
Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.
OpenAI's new text classifier, teach yourself CS, programming philosophies are about state, you might not need Lodash & overrated scalability (Changelog News)
OpenAI’s working on an AI classifier trained to distinguish between AI-written and human-written text, Oz Nova and Myles Byrne created a guide to teach yourself computer science, Charles Genschwap recently realized that all the various programming philosophies can be boiled down into a simple statement about how to work with state, you probably don’t need Lodash or Underscore anymore & Waseem Daher thinks scalability is overrated.
Qwik has just the right amount of magic (JS Party #261)
A deep dive into Qwik, how it makes your apps fast by default, and the carefully calibrated amount of “magic” that makes it uniquely powerful.
How to ace that CFP (Go Time #265)
It’s “Call For Papers” (CFP) season in Go land, so we gathered some seriously experienced conference organizers to help YOUR submission be the best ever.
Treat ideas like cattle, not pets (Ship It! #88)
In our ops & infra world, we learn to optimise for redundancy, for mean time to recovery and for graceful degradation. We instinctively recognise single points of failure, and try to mitigate the risks associated with them. For some years now, Daniel Vassallo has been doing the same, but in the context of life & work. Daniel talks about the role of randomness, about learning from small wins & about optimising for a lifestyle that matches your true preferences,. Apparently, ideas too should be treated like cattle, not pets.
3D assets & simulation at NVIDIA (Practical AI #209)
What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!
Data tool belts, Build Your Own Redis, the giscus comments system, prompt engineering shouldn't exist & ALPACA (Changelog News)
Jeremia Kimelman takes stock of his “data tool belt”, Build Your Own Redis with C/C++ is ready to read, giscus is a comments system powered by GitHub Discussions, Matt Rickard says prompt engineering shouldn’t be a thing and won’t be a thing in the future & Kolja Lubitz’s ALPACA is engine for building adventure games and interactive comics.
Mainframes are still a big thing (The Changelog #524)
This week we’re talking about Mainframes with Cameron Seay, Adjunct Professor at East Carolina University and a member of the Governing Board of the Open Mainframe Project. If you’ve been curious about Mainframes, this show will be a great guide. Cameron explains exactly what a Mainframe is and how it’s different from the Cloud. We talk COBOL and the state of education and opportunities around that language. We cover the state-of-the-art in Mainframe land, System Z, Linux on Mainframe, and more.
Long-term code maintenance (Go Time #264)
Ole Bulbuk & Sandor Szücs join Natalie to discuss the ins & outs of long-term code maintenance. What does it take to maintain a codebase for a decade or more? How do you plan for that? What about inheriting a codebase for the long term? Oh, and (how) can AI help?
Why we switched to serverless containers (Ship It! #87)
Last September, at the 🇨🇭 Swiss Cloud Native Day, Florian Forster, co-founder & CEO of ZITADEL, talked about why they switched to serverless containers. ZITADEL has a really interesting workload that is both CPU intensive and latency sensitive. On top of this, their users are global, and traffic is bursty. Florian talks about how they evaluated AWS, GCP & Azure before they settled on the platform that met their requirements.
GPU dev environments that just work (Practical AI #208)
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!
What's new in Astro 2 (JS Party #260)
Fred K. Schott joins the party again to discuss all the new and fun changes in Astro 2. Nick and KBall dig in on what’s new, what’s exciting, and what to expect from the framework built around content.