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This week we’re talking to Rachel Potvin, former VP of Engineering at GitHub about what it takes to scale engineering. Rachel says it’s a game-changer when engineering scales beyond 100 people. So we asked to her to share everything she has learned in her career of leading and scaling engineering.
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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.
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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.
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This week we’re talking about by Postgres with Craig Kerstiens, Chief Product Officer at Crunchy Data, and a well known ambassador for Postgres. Just Postgres. That’s what this week’s show is about.
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Jerod is joined by Yehonathan Sharvit, author of Data-Oriented Programming, to discuss the virtues of treating data as a first-class citizen in our applications and the four principles that make it possible.
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Welcome to 2023 — we’re kicking off the year talking to Justin Searls about the state of web development and why he just might write a “You Might Not Need React” post. He’s been so productive using Turbo and Stimulus (and tailwind) in Rails 7 that we had to talk about the state of Rails development today and a bunch of other fun topics around building for the web in 2023.
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Searls says:
For liner notes purposes, @hsbt and @ko1 have indeed both contributed to ruby.debug but it was clearly Koichi’s baby.
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Our 5th annual year-end wrap-up episode! Sit back, relax, pour a glass of your favorite beverage and join us for listener voice mails, our favorite episodes, some must-listens, and of course the top 5 most listened to episodes of the year. Thanks for listening! 💚
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To wrap up the year we’re talking about what’s breaking the internet, again. Yes, we’re talking about ChatGPT and we’re joined by our good friend Shawn “swyx” Wang. Between his writings on L-Space Diaries and his AI notes repo on GitHub, we had a lot to cover around the world of AI and what might be coming in 2023.
Also, we have one more show coming out before the end of the year — our 5th annual “State of the log” episode where Adam and Jerod look back at the year and talk through their favorite episodes of the year and feature voices from the community. So, stay tuned for that next week.
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This week we’re joined by Christina Warren, Senior Developer Advocate at GitHub, and a true tech and pop culture connoisseur. From her days at Mashable covering the intersections of entertainment and technology, to Gizmodo, to Microsoft, and now her current role at GitHub we talk with Christina about her journey from journalist to developer, and the latest happenings coming out of GitHub Universe.
BTW, we’re planning to get Christina on Backstage in the new year to talk about Plex, MakeMKV, and all things that go into hosting your own media server. Drop a commment on this episode with a +1 if you want to see that happen.
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This week we’re back at All Things Open 2022 covering the hallway track. Up first is Shivay Lamba and he’s schooling us on all things server-side WASM. It’s the new hotness. After that, we talk with Yishai Beeri, CTO of LinearB about the world of code review, PR queues, AI developers, and making human developers more efficient, and happier. And last, we talk with Guy Martin from NVIDIA about what’s going on in the Industrial Metaverse. He shares details about an open source project developed by Pixar called Universal Scene Description (USD) and what they’re doing with NVIDIA Omniverse.
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