This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.

Matteo Collina, Ph.D takes us to school on all things Node, Fastify, and Pino. We start with his journey into the Node community, how he got started in open source, and his experience as a member of Node’s Technical Steering Committee (TSC). We then nerd out about middleware architecture, data structures and logs (yes, logs), and of course, we dive into what makes Fastify so darn fast and how Pino was the precursor project.

eBPF (7 years old) is a sandbox that can run code inside the linux kernel. It started as a technology to build firewalls, and has evolved over time to include a range of new features.

The panel discuss the origins of eBPF and how it works, as well as dig into some real-world use cases. While eBPF programs themselves aren’t written in Go (more like C), we will hear about how you can communicate with eBPF programs from your Go code.

In today’s episode, Gerhard is talking to Sam Alba, Docker’s first employee, and Solomon Hykes, the Docker co-founder. Together with Andrea Luzzardi, they are the creators of Dagger, a universal deployment engine that trades YAML for CUE, and uses Buildkit as the runtime.

Why? Because we should stop rewriting the same application deployment logic in scripts, makefiles or continuous delivery configuration. That’s right, this is the YAML vaccine that we have all been waiting for.

Gerhard believes that one day, Dagger will become just as meaningful for application delivery, as Docker is today for application code.

Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.

Today we’re talking to Matt Rickard about his blog post, Reflections on 10,000 Hours of Programming. Matt was clear to mention that these reflections are purely about coding, not career advice or other soft skills. These reflections are just about deliberately writing code for 10,000 hours, which also correlates with the number of hours needed to master a skill.

If you count the reflections we cover on the show and be the first to comment on this episode, we’ll get in touch and send you a coupon code to use for a 100% free t-shirt in the merch store. Good luck…

Doug Martin joins Nick to talk to us about building GraphQL backends in TypeScript with NestJS and his project, nestjs-query. We talk about what NestJS is and its built-in support for GraphQL and REST, and then dive into how NestJS-query extends it to generate code for you.

We’re celebrating our 200th episode with a crazy game of Gophers Say! Mat Ryer hosts two epic teams including Go Time OGs Carlisia, Erik, and Brian!

Today we have a very special episode, where Gerhard gets to share his favourite learnings from Steve Jobs. If it wasn’t for his determination to build a better personal computer, Gerhard would have most likely continued with a career in physics.

We know what you’re thinking: it’s crazy and impossible to interview Steve Jobs, but on his 10th memorial anniversary, Gerhard was determined to combine the things that Steve said with his passion for computers, automation, and infrastructure.

Live your life and ship your best stuff because there’s nothing like the present.

Thank you, Steve.

Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before!

This week we’re joined by Brittany Dionigi, Director of Platform Engineering at Articulate, and we’re talking about how organizations can take a more intentional approach to supporting the growth of their engineers through learning-focused engineering.

Brittany has been a software engineer for more than 10 years, and learned formal educational and classroom-based learning strategies as a Technical Lead & Senior Instructor at Turing School of Software & Design. We talk through a ton of great topics; getting mentorship right, common coaching opportunities, classroom-based learning strategies like backwards planning, and ways to identify and maximize the learning opportunities for teams and org.

Muffin fairies, thumb wars, and fruit transit can only mean one thing: Explain it Like I’m 5! We’re also covering the news, discussing the effects of remote work, and agreeing it’s OK to ignore the frontend dev scene for awhile.

In this episode, we will be exploring the tiny world of Go and Hardware. We are joined by three gophers, Vladimir Vivien, Tobias Theel, and Ron Evans, who will be discussing the use of Linux API (V4L2) to control video hardware and capture image data in realtime, programming Bluetooth devices, working on WiFi communication using an Arduino Nano 33 IoT NINA chip, and much more.

Things go wrong all the time. We all make mistakes. And that is okay. What is not okay, is to think that it won’t happen, or that there will be someone else around when it does. In that moment, it doesn’t matter who wrote that module, package or microservice. But there is a better way to think about this, and there is an approach that makes people actually look forward to incidents.

It all starts with thinking of incidents as opportunities to learn, and then share those learnings with everyone, so that you can all improve. In this episode, Gerhard is joined by Stephen Whitworth and Chris Evans, incident.io co-founders, and former Staff Engineers at Monzo.

They get it, we get it, and now you can get it too.

Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see here for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.

This week we’re talking with Evan Weaver about Fauna — the database for a new generation of applications. Fauna is a transactional database delivered as a secure and scalable cloud API with native GraphQL. It’s the first implementation of its kind based on the Calvin paper as opposed to Spanner. We cover Evan’s history leading up to Fauna, deep details on the Calvin algorithm, the CAP theorem for databases, what it means for Fauna to be temporal native, applications well suited for Fauna, and what’s to come in the near future.

This is our second Kaizen episode, where Adam, Jerod & Gerhard talk about changelog.com improvements since episode 10. OK, so Gerhard deleted the DNS API token. Not only did he take the time to understand how that happened, so that he could actually learn from his mistake, but now we have a system in place so that we can share learnings from incidents. By the way, these are publicly available in our #incidents Slack channel.

A great & unexpected thing that happened since we recorded this episode, is Jerod fixing 99% of all the errors that were happening in prod. The top error was the broken Twitter auth - sorry Matt - which was a result of us upgrading to OTP 24 a few months back. Episode 3 show notes include a YouTube stream which captures it all.

We wrap up this episode by each of us sharing the improvements that we would like to do until our next Kaizen. You heard it from Adam first: Ship It Driven Development

Mitch and Andrew from the 1Password team talk with Amal and Nick about the company’s transition to Electron and web technologies, and how the company utilized its existing web stack to shape the future of its desktop experience.

Ever wonder how new features get added to the go command? Or where tools like gopls come from? Well, there’s an open team that handles just those things.

Just like the programming language itself, many of the tools that Go engineers use everyday are discussed and developed in the open. In this episode we’ll talk about this team, how it started, where it’s going, and how you can get involved.

As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.

This week we’re joined by Adam Jacob, CEO of System Initiative and Co-Founder of Chef, about open source business models and the model he thinks is the right one to choose, his graceful exit from Chef and some of the details behind Chef’s acquisition in 2020 for $220 million…in cash, and how his perspective on open source has or has not changed as a result. Adam also shared as much stealth mode details as he could about System Initiative.

Russel Goldenberg & Caitlyn Ralph from The Pudding join Amelia & Nick to talk about how they create data-driven, interactive articles, how the team works on both The Pudding’s data journalism articles and Polygraph’s client work. We also dive into how the team works with contractors and how the company manages itself using a Holocratic method.

This week Emile Vauge, founder & CEO of Traefik, joins Gerhard to share a story that started as a solution to a 2000 microservices challenge, the real-world implications of shipping many times a day for years, and the difficulties of sustaining an inclusive and healthy open-source community while building a product company.

Working every day on keeping the open-source community in sync with the core team was an important lesson. The second learning was around big changes between major versions.

The journey from Travis CI to Circle CI, then to Semaphore CI and eventually GitHub Actions is an interesting one. The automation tools inspired by the Mymirca ant colony is a fascinating idea, executed well. There is more to discover in the episode.

Natalie sits down with Go book authors Bill Kennedy & Sau Sheong Chang to discuss the ins and outs of writing (and reading) books about Go!

Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.

On this special edition of The Changelog, we’re talking with Cory Wilkerson, Senior Director of Engineering at GitHub, about GitHub Codespaces. For years now, the possibility of coding in the cloud seemed so close, yet so far away for a number of reasons. According to Cory, the raw ingredients to make coding in the cloud a reality have been there for years. The challenge has really been how the industry thinks, and we are now at a place where the skepticism in cloud based workflows is “non-existent.”

After 15 months in preview, GitHub not only announced the availability of Codespaces for Teams and Enterprise — they also showcased their internal adoption, with 600 of their 1,000 engineers using it daily to develop GitHub.com.

On this episode, Cory shares the full backstory of that journey and a peek into the future where we’re all coding in the cloud.

Your favorite web dev podcasts join forces for a super collab that’ll knock you frontend off! Amelia joins Chris Coyier and Dave Rupert from ShopTalk Show while Divya teams up with Wes Bos & Scott Tolinski from Syntax. Let the FEUDing begin!

In this episode, Gerhard talks to David and Marques from Equinix Metal about the importance of bare metal for steady workloads. Terraform, Kubernetes and Tinkerbell come up, as does Crossplane - this conversation is a partial follow-up to episode 15.

David Flanagan, a.k.a. Rawkode, needs no introduction. Some of you may remember Marques Johansson from The new changelog.com setup for 2019. Marques was behind the Linode Terraforming that we used at the time, and our infrastructure was simpler because of it!

This is not just a great conversation about bare metal and Kubernetes, there is also a Rawkode Live following up: Live Debugging Changelog’s Production Kubernetes 🙌🏻

Building software is difficult and time consuming, but the maintenance of software is where we spend the majority of our time. In this episode, Ian and sam join Johnny and Kris to discuss how to build actually maintainable software, the features of Go that make it good for writing maintainable software, and different ways that we might define the term “maintenance”.

This week we’re bringing JS Party to The Changelog — Nick Nisi and Christopher Hiller had an awesome conversation with Luis Villa, co-founder and General Counsel at Tidelift. They discuss GitHub Copilot and the implications of an AI pair programmer and fair use from a legal perspective.