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.
Recommender systems and high-frequency trading (Practical AI #126)
David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!
10 a11y mistakes to avoid (JS Party #167)
Spotify’s Tryggvi Gylfason joins Emma & Nick to discuss common accessibility mistakes and tips for avoiding them!
go:embed (Go Time #171)
Carl (Director of Technology for Spotlight PA) and Wayne (Principal Engineer at GoDaddy) join Mat and Mark to talk about the new go:embed feature in Go 1.16. They discuss how and when to use it, common gotchas to watch out for, and some rather meaty unpopular opinions thrown in for good measure.
Leading a non-profit unicorn (The Changelog #431)
This week we’re talking about the future of freeCodeCamp with Quincy Larson and what it’s taken to build it into the non-profit unicorn that it is. They’re expanding their Python section into a full-blown data science curriculum and they’ve launched a $150,000 fundraiser to make it happen with 100% dollar-for-dollar matching up to the first $150,000 thanks to Darrell Silver. As you may know, we’re big fans of Quincy and the work being done at freeCodeCamp, so if you want to back their efforts as well, learn more and donate.
JS Danger: CSS-Tricks Edition (JS Party #166)
The wonderful folks behind CSS-Tricks (maybe you’ve heard of it?) face off in our much beloved don’t-call-it-jeopardy game show. Can you out smart our intrepid contestants? Play along while you listen (or watch). It’s JS Danger time, y’all!
Talkin' 'bout code generation (Go Time #170)
O.G. Brian Ketelsen joins the panel to discuss code generation; programs that write programs. They also discuss IDLs, DSLs, overusing language features, generics, and more. Also Brian plays his guitar. 🤘
Deep learning technology for drug discovery (Practical AI #125)
Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases!
Who let the docs out? (JS Party #165)
The week we talk about the new Open Web Docs initiative and the future of MDN.
Go at Clever (Go Time #169)
In this episode we explore how Clever started using Go. What technologies did Clever start with, how did they transition to Go, and what were the motivations behind those changes? We then explore some of the OS tech written by the team at Clever.
Green AI 🌲 (Practical AI #124)
Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.
Darklang Diaries (The Changelog #430)
This week Jerod is joined by Paul Biggar the creator of Dark, a new way to build serverless backends. Paul shares all the details about this all-in-one language, editor, and infrastructure, why he decided to make Dark in the first place, his view on programming language design, the advantages Dark has as an integrated solution, and also why it’s source available, but NOT open source.
We really needed new jingles (JS Party #164)
Go Time’s Mat Ryer joins Jerod, KBall, and Nick to play Story of the Week, Today I Learned, Unpopular Opinions, and Shout Outs!
Indecent (language) Proposals: Part 2 (Go Time #168)
This is the second part of a discussion about Go language proposals that may or may not make it into the language. Listen to part one as well!
Intensely focused on building a software company (Founders Talk #74)
This week Adam talks with John-Daniel Trask, co-founder & CEO of Raygun. Raygun is an award-winning application monitoring company founded by John-Daniel Trask (better known as JD) and Jeremy Boyd in Wellington, New Zealand. They have revenues in the 8 digits annually, and have done it with very little funding (~1.7M USD). Today’s conversation with JD shares a ton of wisdom. Listen twice and take notes.
Low code, no code, accelerated code, & failing code (Practical AI #123)
In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!