Welcome to 2020 — on this year’s “State of the ‘log’” episode Jerod and I look back at our favorite moments from 2019 and forward to 2020 and beyond. We talk through our most popular episodes, our personal favorites, our 10-year anniversary, the excitement we have for Brain Science our newest podcast, it’s for the curious! And we also look forward to plans we have for 2020 and the decade to come…

Harry Stevens is a Graphics Reporter at The Washington Post and the author of “Why outbreaks like coronavirus spread exponentially, and how to ‘flatten the curve’” — the most popular post in The Washington Post’s online history.

We cover the necessary details of this global pandemic, the journalist, coding, and design skills required to be a graphics reporter, the backstory on visualizing this outbreak, why Harry chooses R over Python, advice for aspiring graphics reporters, and how all of this came together at the perfect time in history to give Harry a chance to catch lightning in a bottle.

David Hugh-Jones has a lot to say about what makes a good comment, Hugging Face released a distilled variant of Whisper for speech recognition, The New Stack reports on C++ creator Bjarne Stroustrup’s plan for bringing safety to the language, Jeff Sandberg declares that CSS is fun again & Jose M. Gilgado praises the beauty of finished software.

Rico Sta. Cruz joined us to talk about his project Devhints (cheatsheets for developers). There are more than 365 cheatsheets you can contribute to and it’s open source. We talked about the design, technical implementation, community, alternate interfaces like the command line. We also talked about RSJS, RSCSS, and Docpress.

Tiago Mendes joins Mat, Jon, and Johnny to discuss eventual consistency and strategies for changing data at scale.

Todd Gamblin, a computer scientist at Lawrence Livermore National Laboratory, joined us to talk about Moore’s Law, his work at Lawrence Livermore National Laboratory, the components of a micro-chip, and High Performance Computing.

Bryan Boreham (Grafana Labs) and Jordan Lewis (Cockroach Labs) join Mat and Jon to talk about memory management in Go. We learn about the heap, the stack, and the garbage collector. There are also some absolute gems of wisdom scattered throughout this episode, don’t miss it.

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.

Adam & Jerod discuss the news! Our Merch sale, useful built-in macOS CLI utilities, the slow death of the hyperlink, systematically estimating a project’s bus factor, The Browser Company abandoning Arc, the Dead Internet theory & more!

In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.

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.

The hubbub of the web dev world right now is Next.js’ integration of React Server Components, Kent C. Dodds writes up why he doesn’t use Next, Lee Robinson responds with why he does, the NixOS team hits a milestone in their reproducible builds effort & OpenSign is an open source alternative to DocuSign.

On a previous episode of Go Time we discussed binary bloat, and how the Go protocol buffer implementation is a big offender. In this episode we dive into the history of protocol buffers and gRPC, then we discuss how the protocol and the implementation can vary and lead to things like binary bloat.

A group of researchers set out to test claims that its open source rivals had achieved parity (or even better) with ChatGPT on certain tasks, Richard Hipp and his team have rewritten SQLite’s text-based JSON functions, Ratatui is a Rust crate for cooking up TUIs, Morris Brodersen built a complex app in vanilla JS as a case study & Headscale is Kristoffer Dalby’s open source, self-hosted implementation of the Tailscale control server.

We’re so excited to see Chris and Daniel take this show to 100 episodes, and that’s exactly why we’re rebroadcasting Practical AI #100 here on The Changelog. They’ve had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and I joined the first episode to help kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!)

Tobie Langel, Open source strategist and Principal at UnlockOpen, joins Chris, Feross, and Amal to discuss recent widespread incidents affecting the JavaScript community (and breaking CI builds) around the globe. Two widely used npm libraries were self-sabotaged by their single maintainer, yet again, highlighting the many gaps in our OSS supply chain security, sustainability and overall practices. We explore all these topics and solution on what our ecosystem needs to be more resilient to these types of attacks in the future.

The panel are joined by Teiva Harsanyi, author of 100 Go Mistakes, to talk about how best to make mistakes when writing Go.

Josh Goldberg joins Nick, Chris & a very nasally-sounding KBall for a fun conversation around TypeScript ESLint. They discuss why we need ESLint when we have TypeScript, some useful rules in typescript-eslint, how it works, and a few hot takes along the way!

Matthew Boyle, the author of Domain-Driven Design with Golang, sits down with Jon & Mat to talk about (you guessed it!) DDD with Go.

This week on we’re joined by Emil Sjölander from Figma — talking about bringing Dev Mode to Figma. Dev Mode is their new workspace in Figma that’s designed to bring developers and design to the same tool.

The question they’re trying to answer is “How do you create a home for developers in a design tool?” We go way back to Emil’s startup that was acquired by Figma called Visly, how we iterated to here from 20 years ago (think PSD > HTML days), what they did to build Dev Mode, what they’re doing around codegen, the popularity of design systems, and what it takes to go from zero to Dev Mode.

You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.

What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!

We talk with Nader Dabit, Developer Advocate for Amazon Web Services, about the role of DevRel and what’s involved in this “dream job”, frontend and mobile developers using AWS Amplify to build cloud-enabled applications, how GraphQL, React, and others fit in, and the direction of React Native.

From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.

We’re joined by Kevin Owocki, the founder of Gitcoin. Gitcoin is a platform to monetize or incentivize work in open source software. We talked about how Gitcoin sits at the intersection of sustaining open source and cryptocurrencies, their history and roadmap, their decision to leverage the brand name of Git, bug bounties, funded issues, web3, MetaMask, and the future of Gitcoin and how open source benefits.

Nick Janetakis is back and this time we’re talking about TUIs (text-based user interfaces) — some we’ve tried and some we plan to try. All are collected from Justin Garrison’s Awesome TUIs repo on GitHub. This episode is “AI free.”

We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.

Hello 2024! We’re kicking off the year with Dan Moore, author of ‘Letters to a New Developer’ — a blog series of letters of what Dan wished he had known when starting his developer career. We discuss the value of online communities for new developers, the importance of communication skills, and the need to stay relevant in a rapidly changing industry. Dan shares his best advice for new developers, including the importance of saying no, leaving code better than you found it, and the value of skill stacking. So much wisdom and advice in this episode!

Chris Lamb joined the show to talk about his project Reproducible Builds — which is funded by The Linux Foundation’s Core Infrastructure Initiative. We talked about the importance of having a verifiable path from source code to compiled binary, what this set of software development practices is all about, what it means to have Reproducible Builds, the challenges faced when implementing these development practices, and the inherent security you gain from them.

What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.