Changelog Master Feed

In this episode, we will be exploring interviewing as a Software Engineer. Tips, tricks, and gotchas, as well as potentially some interviewing horror stories and red flags to avoid at all costs. We’re joined by Emma Draper, Engineering Manager at the New York Times based in Arizona, and Kate Jonas, goes by Jonas, Technical Enablement Manager at Datadog based in Denver.

Dave Farley, co-author of Continuous Delivery, is back to talk about his latest book, Modern Software Engineering, a Top 3 Software Engineering best seller on Amazon UK this September. Shipping good software starts with you giving yourself permission to do a good job. It continues with a healthy curiosity, admitting that you don’t know, and running many experiments, safely, without blowing everything up. And then there is scope creep…

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.

Andreas Kling’s new cross-platform browser project, Dan Hollick’s nerdy deep-dive on QR code tech, Stephan Dilly’s Rust-based terminal UI for Git, Miłosz Piechocki’s opinion on junior vs senior engineers & Divam Gupta’s Tensorflow port of Stable Diffusion.

This week on The Changelog we’re talking about Stable Diffusion, DALL-E, and the impact of AI generated art. We invited our good friend Simon Willison on the show today because he wrote a very thorough blog post titled, “Stable Diffusion is a really big deal.” You may know Simon from his extensive contributions to open source software. Simon is a co-creator of the Django Web framework (which we don’t talk about at all on this show), he’s the creator of Datasette, a multi-tool for exploring and publishing data (which we do talk about on this show)…most of all Simon is a very insightful thinker, which he puts on display here on this episode. We talk from all the angles of this topic, the technical, the innovation, the future and possibilities, the ethical and the moral – we get into it all. The question is, will this era be known as the initial push back to the machine?

Austin Gil joins the show and KBall continues an old email correspondence about the JS community and growth. Then, the gang plays a round of TIL where Austin shares his learnings about the HTML capture attribute. Finally, Austin shares what it’s like to have a blog post blow up.

Inbal Cohen, Product expert and Agile evangelist, joins Natalie & Angelica for a conversation about all things Agile. Inbal lays out some agile tips for Go devs, discusses if and how remote work changes things, describes some downsides of the methodology, and more.

In today’s Kaizen episode, we talk about shipping Adam’s Christmas present: chapter support for all Changelog episodes that we now publish. This feature was hard because there are many subtle differences in how the ID3 spec is implemented. Of course, once the PR shipped, there were other issues to solve, including an upgrade the world kind of scenario. Since Lars Wikman did all the heavy ID3 lifting, he is here with us too.

The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2). (Image from stability.ai)

Jacob Kaplan-Moss writes up a hot take on software quality, Wilfred Hughes creates the diff tool he’s always wanted, Josh Collinsworth thinks React is only great at being popular, Jetpack’s Devbox project looks pretty cool & James Williams sets out to find the shortest URLs on the internet. Oh, and chapters are here!

This week we’re joined by Jason Bosco, co-founder and CEO of Typesense — the open source Algolia alternative and the easier to use ElasticSearch alternative. For years we’ve used Algolia as our search engine, so we come to this conversation with skin in the game and the scars to prove it. Jason shared how he and his co-founder got started on Typesense, why and how they are “all in” on open source, the options and the paths developers can take to add search to their project, how Typesense compares to ElasticSearch and Algolia, he walks us through getting started, the story of Typesense Cloud, and why they have resisted Venture Capital.

Jerod, KBall & Nick “Holla!” at React India, share what we’re excited about these days, and then take up a KBall topic that goes off the rails but manages to climb back on them, power through, and end up in a good place.

Egon Elbre and Roger Peppe join Mat for a conversation all about bloat (and how to avoid it). Expect talk of code bloat, binary bloat, feature bloat, and an even-more-bloated-than-usual unpopular opinion segment.

Maybe it’s the Californian sun. Or perhaps it’s the time spent at Disney Studios, the home of the best stories. One thing is for sure: Taylor Dolezal is one of the happiest cloud native people that Gerhard knows. As a former Lead SRE for Disney Studios, Taylor has significant hands-on experience running cloud native technologies in a large company. After a few years as a HashiCorp Developer Advocate, Taylor is now Head of End User Ecosystem at CNCF. In his current role, he is helping enable cloud native success for end-users like Boeing, Mercedes Benz & many others.

AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools

Martin Heinz thinks you should be using Python’s walrus operator, you probably believe some falsehoods about email, Carlos Fenollosa threw in the towel after self-hosting his email for 23 years & Leon is an open source personal assistant that can live on your server.

This week we’re sharing the most popular episode of Go Time from last year — Go Time #196. We believe this episode was the most popular because it’s all about building actually maintainable software and what goes into that. Kris Brandow is joined by Johnny Boursiquot, Ian Lopshire, and Sam Boyer. There’s lots of hot takes, disagreements, and unpopular opinions. This is part two of a three part mini-series led by Kris on maintenance. Make sure you check out Go Time #195 and Go Time #202 to continue the series.

Dr. Gleb Bahmutov returns to the party for a wide-ranging discussion on open source, end-to-end testing, Cypress, and more. Amal, Divya & Chris host.

Ever wondered how GopherCon came to be, and how it’s put together every year. In this show we will be chatted with Erik St. Martin, who has been there from the start about how GopherCon came to be, how this year’s conference came together, as well as why events like GopherCon as so great! We are joined by Erik St. Martin, GopherCon Organizer and Co-Author Go in Action.

Most of you already know what it’s like to work in a startup or a small company. A few of you have been asking us for conversations with engineers that work for big companies, the kind that run everything from big title games to banking, and even critical national infrastructure. In today’s episode, we talk to Ganeshkumar, a Software Engineer in the Azure Kubernetes Service team, who works on Node Lifecycle and Kubernetes Versioning, and Brendan, Kubernetes project co-founder and engineering Corporate Vice President of Microsoft Azure OSS and Cloud-native Compute. We talk about what it’s like to work for Microsoft, how mentoring works in practice, and what Kubernetes, Omega, & Borg have to do with it all.