Changelog Master Feed

When we talk about improving a programming language, we often think about what features we would add. Things like generics in Go, async/away in JS, etc. In this episode we take a different approach and talk about what we would remove from Go to make it better.

Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.

We’re talking with Gerhard Lazu, our resident SRE, ops, and infrastructure expert about the evolution of Changelog’s infrastructure, what’s new in 2020, and what we’re planning for in 2021. The most notable change? We’re now running on Linode Kubernetes Engine (LKE)! We even test the resilience of this new infrastructure by purposefully taking the site down. That’s near the end, so don’t miss it!

Frontend Feud returns! Emma heads up team Boooooleans

Paul Smith (from “Obama’s Trauma Team”) tells us the tale of how Go played a big role in the rescuing and rebuilding of the HealthCare.gov website. Along the way we learn what the original team did wrong, how the rescue team kept it afloat during huge traffic spikes, and what they’ve done since to rebuild it to serve the people’s needs.

Today we welcome Matt Klein into our Maintainer Spotlight. Matt is the creator of Envoy, born inside of Lyft. It’s an edge and service proxy designed for cloud-native applications. Envoy was unexpectedly popular, and completely changed the way Lyft considers what and how to open source. While Matt has had several opportunities to turn Envoy into a commercial open source company, he didn’t. In today’s conversation with Matt we learn why he choose a completely different path for the project.

We take up a listener request this week and have an honest conversation about jQuery. Then, it’s time for something new! Our friends at Hot New Tech review tone.js for us. After that, it’s Pro Tip Time!

In this episode we discuss Mislav’s experience building not one, but two Github CLIs - hub and gh. We dive into questions like, “What lead to the decision to completely rewrite the CLI in Go?”, “How were you testing the CLI, especially during the transition?”, and “What Go libraries are you using to build your CLI?”

We’re joined by Elisha Goldstein, PhD - one of the world’s preeminent mindfulness teachers, a clinical psychologist, founder of the Mindful Living Collective and, creator of the six-month breakthrough program - A Course in Mindful Living. If you’ve ever used the Calm app, you might be familiar with his voice as he walks you through mindfulness practices to help calm negative emotions and anxious thoughts. He has extensive expertise in mindfulness based stress reduction (MBSR) and today he’s sharing his wealth of knowledge using mindfulness to naturally reduce anxiety and be more present and aware in our lives.

Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.

PostgreSQL aficionado Craig Kerstiens joins Jerod to talk about his (and our) favorite relational database. Craig details why Postgres is unique in the world of open source databases, which features are most exciting, the many things you can make Postgres do, and what the future might hold. Oh, and some awesome psql tips & tricks!

Ben Ilegbodu joins Divya, Suz, & Amal to talk about introducing TypeScript at Stitch Fix, why TypeScript and React work well together, building component libraries, and more.

With Gophercon rapidly approaching, we go behind the scenes to find out what it takes to deliver the world’s largest Go conference.

Marc Beinder is building a podcast hosting web application as a part of his senior project while at Lindenwood University. In this brief Backstage episode, Marc picks Jerod’s brain about how we built our platform and challenges we ran into along the way.

Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.

Maxime Vaillancourt joined us to talk about Shopify’s massive storefront rewrite from a Ruby on Rails monolith to a completely new implementation written in Ruby. It’s a fairly well known opinion that rewrites are “the single worst strategic mistake that any software company can make” and generally something “you should never do.” But Maxime and the team at Shopify have proved successful in their efforts in this massive storefront rewrite and today’s conversation covers all the details.

Gleb Bahmutov, PhD joins the show for a fun conversation around end-to-end testing. We get the skinny on Cypress, find out how it’s structured as both an open source library and a SaaS business, tease apart the various types of tests you may (or may not) want to have, and share a lot of laughs along the way.

Can’t find a job working in Go? Perhaps introducing your current team to Go is the solution. In this episode we talk about how Go was introduced at different organizations, potential pitfalls that may sabotage your efforts, some advice on how to convince your team and CTO to use Go and more.

Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.

We’re joined by Jim Haughwout (Head of Infrastructure and Operations) and Stefan Ålund (Principal Product Manager) from Spotify to talk about how they manage hundreds of teams producing code and shipping at scale. Thanks to their recently open sourced open platform for building developer portals called Backstage, Spotify is able to keep engineering squads connected and shipping high-quality code quickly — without compromising autonomy.