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,
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Modern Unix tools (The Changelog #451)
This week we’re talking with Nick Janetakis about modern unix tools, and the various commands, tooling, and ways we use the commmand line. Do you Bash or Zsh? Do you use cat or bat? What about man vs tldr? Today’s show is a deep dive into unix tools you know and love, or should know and maybe love.
Getting hooked on React (JS Party #186)
This week we talk with Kent C. Dodds, one of the greatest React teachers in the industry, all about React! Why choose React over another framework? What are the hardest parts about learning React? You’ll find out this week!
Grafana’s "Big Tent" idea (Ship It! #12)
Gerhard talks to Tom Wilkie, VP of Product for Grafana Labs. They talk about Loki, Tempo, and how can Grafana Cloud offer such a generous free tier. The solution is in the Cortex architecture, which was used in Loki and in Tempo too. Yes, Tom is the Cortex co-author. We recommend that you listen to this episode in combination with episodes 3 and 11. That’s the best way to get a more complete picture of the topics that we discuss today. Lastly, would you like to watch Gerhard & Tom pair-up and build Grafana dashboards like pros? Tom has this really interesting approach that Gerhard would like to learn too. We can either have a live YouTube stream, or record and then publish the video. Let us know your preference via our Changelog Slack, or just plain Twitter.
How to make mistakes in Go (Go Time #190)
The panel are joined by Teiva Harsanyi, author of 100 Go Mistakes, to talk about how best to make mistakes when writing Go.
Building a data team (Practical AI #142)
Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.
Into the Wormhole (JS Party #185)
Feross is back with a brand new web app for us to pick apart! Wormhole is the fastest way to send files on the internet and we want to know why he built it, how it works, and what crazy hacks he invented along the way.
Honeycomb's secret to high-performing teams (Ship It! #11)
Gerhard talks with Charity Majors, ops engineer and accidental startup founder at honeycomb.io about high-performing teams, why “15 minutes or bust,” and how we should start using Honeycomb in our own monolithic Phoenix app that runs changelog.com. There is just one step, and it’s actually really simple! They also talk about how Honeycomb uses Honeycomb to learn about Honeycomb, which is one of Gerhard’s favorite questions. As for key take-aways, deploying straight into production is really important, but not as important as optimising for humans - which are not replaceable cogs, that learn and share their learnings continuously. That is the secret to making things easy and happy for everyone.
Do devs need a product manager? (Go Time #189)
What is a Product Manager, and do Engineers need them? In this episode, we will be discussing what a Product Manager does, what makes a good Product Manager, and debating if engineering teams truly need them, with some tech companies going without them. We are joined by Gaëlle Sharma, Senior Technical Product Manager, at the New York Times, leading the Identity group.
Why we 💚 Vim (The Changelog #450)
On this special edition of The Changelog, we tell Vim’s story from the mouths of its users. Julia Evans, Drew Neil, Suz Hinton, and Gary Bernhardt join Jerod Santo for a deep and wide-ranging discussion about “the best text editor that anyone ever wrote.”
Towards stability and robustness (Practical AI #141)
9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.
The story behind Inter (The Changelog #449)
This week we’re talking to Rasmus Andersson about his journey as a software creator. We talk about the work he’s doing right now on Playbit, a computing environment which encourages playful learning, building, and sharing of software. We also talk about his work on the Inter typeface, as well as the reasons why this font family needed to be free and open source.
Much ado before coding (JS Party #184)
The panel discusses all the things that have to happen before you write a lick of code. Then, for Story of the Week: Dan Abramov thinks npm audit is broken by design. We also have thoughts. Lots of ’em.
SIV and the V2+ issue (Go Time #188)
Go modules brought about quite a few changes to the Go ecosystem. One of those changes is semantic import versioning (SIV), which has a fairly pronounced effect on how libraries are identified. In this episode we are joined by Tim Heckman and Peter Bourgon to discuss some of the downsides to these changes and how it has lead to what a subset of the Go community refers to as the “v2+ problem.”
Kaizen! The day half the internet went down (Ship It! #10)
Kaizen means “change for the better”, continuous improvement in this context. Failure is essential to learning, but how do we learn as a team? The simplest thing is to regularly dedicate time for taking a step back, talking about what works & what doesn’t, maybe writing some of it down, and eventually deciding what we should improve next. I intend to make every 10th Ship It! episode a Kaizen one. This is the first one when we talk with Adam and Jerod about the things that we want to improve in our setup over the next few months. We talk about how the June Fastly outage affected changelog.com, how we responded that day, and what we could do better. We discuss multi-cloud, multi-CDN, and the next sensible and obvious improvements for our app. Let us know via Slack or Twitter what learnings are valuable to you so that we can produce the best content for you.
From symbols to AI pair programmers 💻 (Practical AI #140)
How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).