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.
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 mainframes, 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!
Simply One of the Best Podcasts Out There on Tech/Dev
I don’t know how these guys are doing it but they have created very engaging content and it’s a serial part of my commute and M-F life listening to the dearth of info/topics they cover that I think might even be of interest to non-developers/programmers. Thanks.
Varied technical and fun content
Master feed pulls in all of this network’s coding shows. I love the candor of the hosts and guests, and the overall tilt toward JS based content. I especially like JS Party and the main Changelog show but they all have good stuff. As a front end developer this feed ticks all the boxes for me. Thanks team.