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.

This week we’re talking with Nick Janetakis about modern unix tools, and the various commands, tooling, and ways we use the commmand line. Do you Bash or Zsh? Do you use cat or bat? What about man vs tldr? Today’s show is a deep dive into unix tools you know and love, or should know and maybe love.

On this episode we’re talking with our good friend Mat Ryer whom you may know from the Go Time podcast. Mat created an awesome open source tool for putting just about anything in your Mac’s toolbar. It was originally written in Objective-C, but it just got a big rewrite in Go and abig rename from BitBar to xbar.

If you don’t use a Mac don’t hit skip on this episode quite yet! There are lessons to be learned for anyone interested in hacking on tools to make your life better. Plus, with this rewrite Mat has positioned xbar to go cross-platform, which we talk about as well.

This week Alexander Neumann takes Jerod on a tour of Restic, the world-class backup solution that’s fast, secure, and cross-platform. We discuss why he created Restic in the first place, how (and why you should) you use it, some of its more interesting technical bits, lessons learned over the years building and maintaining a community, and more of course.

Preact creator Jason Miller joins Jerod and Nick to discuss WMR– the tiny all-in-one development tool for modern web apps.

We ask Jason what “modern web app” means, how WMR fits in to the JS tooling landscape, why the Preact team created it in the first place, and dig into all it has to offer. Where’s My Roomba?

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.

Johnny and John welcome Thorsten Ball back to the show. This time we’re talking power tools! Editors, operating systems, containers, cloud providers, databases, and more. You name it, we probably talk about.

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.

Johnny is joined by Marty Schoch, creator of the full-text search and indexing engine Bleve, to talk about the art and science of building capable search tools in Go. You get a mix of deep technical considerations as well as some of the challenges around running a popular open source project.

Adam adds a twist to our YepNope format this week. Instead of 2v2, it’s 1v1v1 with Mikeal reppin’ team Yep, Divya on team Nope, and Feross sitting in the middle on team It Depends. You don’t want to miss this excellent debate/discussion all about JS tooling complexity.

Many packages
New frameworks built all the time
Config hell. Webpack

We’re talking about the tools we use every day help us to be productive! This show will be a great introduction for those new to Go tooling, with some discussion around what we think of them after using some of them for many years.

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.