Changelog Master Feed

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.”

This week we chat with Matteo Collina, Technical Director at NearForm and member of the Node.js Technical Steering Committee, about his upcoming Node+JS Interactive talk on Node Streams. We talk about their creation before any standards and how they are one of the bedrock APIs used throughout the Node ecosystem. We also talk about WHATWG streams and some of their key differences, and how streams have gotten easier to work with thanks to the addition of async iterators and generators to the language.

On this special re-broadcast of the freeCodeCamp podcast, Quincy Larson (freeCodeCamp’s founder) interviewed Adam and Jerod in the ultimate Backstage episode to celebrate a decade of conversations, news, and community here at Changelog. Yes, this month we turn 10 years old! We go deep into our origin stories, our history as a company, becoming and being a leader, the backstory of our branding, our music from Breakmaster Cylinder, and where we might be heading in the future.

Mireille and Adam discuss key aspects of mental health and what it looks like to manage our own mental well-being. What are the key ingredients to managing it? How do our relationships and boundaries impact it? Are sleep, food, and activity really that important? We talk through these questions and more to better understand mental health and the ways in which we contribute to our well being.

There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.

Today we have a very special show for you – we’re talking with Quincy Larson the founder of freeCodeCamp as part of a two-part companion podcast series where we each celebrate our 5 and 10 year anniversaries. This year marks 5 years for freeCodeCamp and 10 years for us here at Changelog. So make sure you check out the freeCodeCamp podcast next week when Quincy ships our episode to their feed. But, on today’s episode we catch up with Quincy on all things freeCodeCamp.

Design systems are taking the tech industry by storm, but what exactly are they? Do you even need one? This week we’re talking all things design systems. We’ll chat about component libraries and style guides, companies who are building design systems, and more!

Go Time panelist Mat Ryer joins Jerod to talk through the pros and cons of GraphQL vs REST for a future Changelog API. There’s also a fair bit of language chat around Go and JavaScript, a section on Machine Learning, and some inside baseball on where Go Time is heading.

In this episode we talk with Ramya Rao about code editors and language servers. We share our thoughts on which editor we use, why we use it, and why we’d switch. We also discuss what a language server is and why it matters in connecting editors and the languages they support. We also dive into various ways to be effective with VS Code including shortcuts, plugins, and more.

Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning.

Jeff Meyerson, host of Software Engineering Daily, and the founder of FindCollabs (a place to find collaborators for open source software) joined the show to talk about living in San Francisco, his thoughts on podcasting and where the medium is heading, getting through large scale market changes. We talk at length about his new project FindCollabs, the difficulty of reliably finding people to collaborate with, the importance of reputation and ratings systems, and his invite to this audience to check out what he’s doing and get involved.

We’re back with another #YepNope episode, this time debating whether or not JavaScript needs to be rebranded. This premise was inspired by Kieran Potts’ article of the same name. Divya/Jerod represent Team Yep and Chris/KBall represent Team Nope. Nick, as always, represents Team Type Script

What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.