Changelog Master Feed

Guests are catching the bug, so we decided to spend this episode talking about bugs! How do you find and fix your bugs? Do you sketch things out, whip out the debugger, or something else?

We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing.

Jerod and Divya welcome npm CTO Ahmad Nassri to discuss modular architecture. What it is, why it matters, and how you can achieve it. Ahmad has been thinking deeply about this topic lately and we have a very fruitful discussion that should have takeaways for developers of all experience levels.

Changelog’s resident infrastructure expert Gerhard Lazu is on location at KubeCon 2019. This is part one of a two-part series from the world’s largest open source conference. In this episode you’ll hear from event co-chair Bryan Liles, Priyanka Sharma and Natasha Woods from GitLab, and Alexis Richardson from Weaveworks. Stay tuned for part two’s deep dives in to Prometheus, Grafana, and Crossplane.

Grab a hot beverage and a warm blanket because it’s time for a fireside chat with the Go Time panel! We discuss many topics of interest: what we’d build if we had 2 weeks to build anything in Go, the things about Go that “grind our gears”, our ideal work environments, and advice we’d give ourselves if we were starting our career all over again.

Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.

In this episode we’re shining our maintainer spotlight on Ovilia. Hailing from Shanghai, China, Ovilia is an up-and-coming developer who contributes to Apache ECharts, maintains Polyvia, which does very cool low-poly image and video processing, and has a sweet personal website, too. This episode with Ovilia continues our maintainer spotlight series where we dig deep into the life of an open source software maintainer. We’re producing this series in partnership with Tidelift. Huge thanks to Tidelift for making this series possible.

ES Modules are unflagged in Node 13. What does this mean? Can we use them yet? We chat with Mikeal, our resident expert, and find out.

Ronald Marrero is a software developer working on NASA’s Artemis program, which aims at landing the first woman and next man on the Moon by 2024. How Ron got here is a fascinating story, starting at UCF and winding its way through the Florida Space Institute, working with NASA’s Swamp Works team, and building an open source excavation robot. On this episode Ron tells us how it all went down and shares what he learned along the way.

Go was designed with concurrency in mind. That’s why we have language primitives like goroutines, channels, wait groups, and mutexes. They’re very powerful when used correctly, but they can be very complicated if used unwisely. Roberto Clapis joins the team once again to drop async wisdom in your ears. Don’t worry, we do it in serial.

SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!

David Cramer joined the show to talk about the recent license change of Sentry to the Business Source License from a BSD 3-clause license. We talk about the details that triggered this change, the specifics of the BSL license and its required parameters, the threat to commercial open source products like Sentry, his concerns for the “open core” model, and what the future of open source might look like in light of protections-oriented source-available licenses like the BSL becoming more common.

KBall connects with Katie Sylor-Miller to talk about migrating OhShitGit to the JAMStack, migrating legacy codebases to modern front-end technologies, and design systems.

GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.

Devon Zuegel is an Open Source Product Manager at GitHub. She’s also one of the key people responsible for making GitHub Sponsors a thing. We talk with Devon about how she came to GitHub to develop GitHub Sponsors, the months of research she did to learn how to best solve the sustainability problem of open source, why GitHub is now addressing this issue, the various ways and models of addressing maintainers’ financial needs, and Devon also shared what’s in store for the future of GitHub Sponsors.

This week we chatted with Kahlil Lechelt about mentorship. What types of mentorships are there, what makes a successful mentorship, and where can you find a mentor?

Mireille and Adam discuss empathy, respect, and compassion and the role each of these interpersonal constructs play in strengthening our relationships, both personally and professionally. What exactly is empathy, respect, and compassion? What are key indicator lights to be aware of when any of them are lacking or off-kilter? We also discuss Dr. John Gottman’s research on “The Four Horsemen” in relationships.

Mat, Johnny, and Jaana are joined by Francesc Campoy to talk about Graph databases. We ask all the important questions — What are graph databases (and why do we need them)? What advantages do they have over relational databases? Are graph databases better at answering questions you didn’t anticipate? How is data structured? How do queries work? What problems are they good at solving? What problems are they not suitable for? And…since we had Francesc on the hot seat, we asked him about Just for Func and when it’s coming back.

Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.

Thorsten Ball and Tim Raymond join Mat Ryer and Mark Bates to talk about compilers and interpreters. What are the roles of compilers and interpreters? What do they do? The how and why of writing a compiler in Go. We also talk about Thorsten’s books “Writing an Interpreter in Go” and “Writing a Compiler in Go.”