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

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.

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.

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.

Elecia White, host of Embedded.fm and author of Making Embedded Systems, joins us to discuss all things embedded systems. We discuss programming non-computers, open source resources for embedded, self-driving cars, embedded system like the GoPro, Traeger smokers, and even birthday cards. According to Elecia, embedded is going everywhere.

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.”

Kurt Mackey is back for a deep dive into what it takes to build the developer cloud. Kurt joins Adam to discuss the alliance between companies and cloud, something Kurt refers to as the “Rebel Alliance,” cloud complexity vs usability, Fly’s future with Postgres and why they’ve waited, thoughts on Neon and Supabase (Kurt shares a hot take), and our CDN saga and plan to build a simple CDN on Fly called Pipely (still a Pipedream).

Will Crichton wishes some naming conventions would die already, GitHub user brjsp noticed that Bitwarden’s new SDK dependency isn’t open source, Joaquim Rocha details his forking best practices, Sophie Koonin explains why you should go to conferences & Mike Hoye puts WordPress on SQLite.

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!)

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

Vibe coding is the new vibe, AI engineers are all taking about MCP, Tom Usher wants you to kill your algorithmic feeds, Curiositry shares his troubleshooting expertise, Nikola Ðuza thinks we should keep blogging for the LLMs & James Stanier answers the question, should managers still code?

Adam’s friend on the frontend, John Long joins the show to explore his usage of AI, design tools and the stack he prefers. We talk Next.js vs Rails, maintaining open source, building websites with Framer, their mutual love for Figma, and more.

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.

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!

It’s Kaizen 18! Can you believe it? We discuss the recent Fly.io outage, some little features we’ve added since our last Kaizen, our new video-first production, and of course, catch up on all things Pipely! Oh, and Gerhard surprises us (once again). BAM!

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!

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!

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.

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.

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.

Alex Russell answers the question, “If not React, then what?” Csaba Okrona identifies four core problems that create and reinforce knowledge silos, Rob Koch’s Markwhen is like Markdown for timelines, Jeff Geerling is quite impressed by Apple’s latest iteration on the Mac mini & Sylvain Kerkour took the time to draw a comparison of Amazon’s O.G. S3 service with Cloudflare’s R2 competitor.

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.

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.

In July of 2020, Joran Dirk Greef stumbled into a fundamental limitation in the general-purpose database design for transaction processing. This sent him on a path that ended with TigerBeetle, a redesigned distributed database for financial transactions that yielded three orders of magnitude faster OLTP performance over the usual (general-purpose) suspects.

On this episode, Joran joins Jerod to explain how TigerBeetle got so fast, to defend its resilience and durability claims as a new market entrant, and to stake his claim at the intersection of open source and business. Oh, plus the age old question: Why Zig?

Let’s talk about the concept of immutable databases, the problems they target, and why you’d want to build one in Go.

M.G. Siegler goes way out on a limb with some BIG predictions of things that could happen this year, Simon Willison’s year-end roundup is a must-read and perhaps the only thing you have to read to get up-to-speed on the state of the LLM, Allen Pike describes a method for magic, Tom Critchlow thinks small databases are magic & James Stanier agrees with me about Parkinson’s Law and the usefulness of deadlines.

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.

This episode features conversations from Sustain 2017 at GitHub HQ with Richard Littauer, Karthik Ram, Andrea Goulet, and Scott Ford. Sustain was a one day conversation for open source software sustainers to share stories, resources, and ways forward to sustain open source.

We’re helping Atlassian to promote Season 2 of Teamistry. If this is the first time you’re hearing about this podcast, Teamistry is an original podcast from Atlassian that tells the stories of teams who work together in new and unexpected ways, to achieve remarkable things. Today, we’re sharing a full-length episode from Season 1 which tells the story of the team that fashioned the Apollo 11 spacesuits.

When Neil Armstrong stepped on the moon for the first time, we don’t actually see his face. We see his moonsuit. That moonsuit — in effect — is Neil Armstrong; an inseparable part of this historic moment. While the spacesuit kept him alive to tell that story in his own words, what went unnoticed is the extraordinary team that stitched it together.

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.