HashiCorp adopts a Business Source license, Matt Rickard hypothesizes why Tailwind CSS won, WarpStream sets out to make a Kafka-compatible offering directly on S3, Vadim Kravcenko publishes an excellent guide for managing difficult software engineers & Russ Cox gives an update on Go 2.

The dataset wars are heating up, Bark is a transformer-based text-to-audio model that can generate highly realistic, multilingual speech as well as other audio, Kent Beck needs to recalibrate after using ChatGPT, the team behind Stable Diffusion release a new open source language model & Mitchel Hashimoto weighs in on prompt engineering.

This week we’re talking with Ben Johnson. Ben is known for his work on BoltDB, his work in open source, and as a freelance Go developer. Late January when Ben open sourced his newest project Litestream in the readme he shared how the project was open source, but not open for contribution. His reason was to protect his mental health and the long term viability of the project. On this episode we talk with Ben about what that means, his thoughts on mental health and burnout in open source, choosing a license, and the details behind Litestream - a standalone streaming replication tool for SQLite.

We’re talking with Victor Zhou about the explosion of the .io game genre. We talked through all the details around building and running one of these games, the details behind Victor’s super popular game called Generals — which he eventually sold, and we also covered the economics behind creating and selling one of these games.

Jon Thornton (Engineering Manager at Squarespace) joined the show to talk about tech debt by way of his post to the Squarespace engineering blog titled “3 Kinds of Good Tech Debt”. We talked through the concept of “good tech debt,” how to leverage it, how to manage it, who’s in charge of it, how it’s similar to ways we leverage financial debt, and how Squarespace uses tech debt to drive product development.

Alice Girard Guittard finds out how much she could you really get out of a $4 VPS, Brett Cannon wonders if using TOML for .env files is a good idea, Nic Mulvaney details how they count unique visitors to a website without using cookies, UIDS, or fingerprinting, after a few months, Chris Coyier is still using the Arc browser & Alex Kladov pens a love letter to Deno.

Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.

We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.

Dalai is the simplest way to run LLaMA on your local machine, simple web tools that just work without annoying you, Wik is a tool to view wikipedia pages from your terminal, Rspack is a fast, Rust-based web bundler, Doodle is a pure Kotlin UI framework, Marqo is tensor search for humans & iLLA is an open source alternative to Retool.

Christine Yen (co-founder and CEO of Honeycomb) joined the show to talk about her upcoming talk at Strange Loop titled “Observability: Superpowers for Developers.” We talk practically about observability and how it delivers on these superpowers. We also cover the biggest hurdles to observability, the cultural shifts needed in teams to implement observability, and even the gains the entire organization can enjoy when you deliver high-quality code and you’re able to respond to system failure with resilience.

Taylor Troesh joins Jerod to discuss a bevy of software development topics: yak shaves, dependency selection, -10x engineers, IKEA-oriented development, his new content-addressable programming language & much more along the way.

The Cursor AI code editor raises $60 million, RedMonk’s Rachel Stephens tries to determine if rug pulls are worth it, Caleb Porzio details how he made $1 million on GitHub Sponsors, Elastic founder Shay Banon announces that Elasticsearch is open source (again) & Tomas Stropus writes about the art of finishing.

Homebrew project leader Mike McQuaid joins us to weigh in on Apple’s big Vision Pro announcement. We also hit on our favorite (and least favorite) non-AR things from the WWDC 2023 keynote.

We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches & highlight what it takes (practically) to show what is possible, doable & scalable with AI.

This week we’re celebrating Maintainer Month along with our friends at GitHub. Open source runs the world, but who runs open source? Maintainers. Open source maintainers are behind the software we use everyday, but they don’t always have the community or support they need. That’s why we’re celebrating open source maintainers during the month of May. Today’s conversation features Alyssa Wright (Bloomberg), Chad Whitacre (Sentry), and Duane O’Brien (Creator of the FOSS Contributor Fund and framework). We get into all the details, the why, the hows, and the struggles involved for companies to support open source.

This week we’re talking about Passkeys with Anna Pobletts, Head of Passwordless, at 1Password. Will Passkeys enable a passwordless future? Time will tell. Anna shares the what, the why, how, and the when on Passkeys.

This week Elixir creator José Valim joins Jerod and Practical AI’s Daniel Whitenack to discuss Numerical Elixir, his new project that’s bringing Elixir into the world of machine learning. We discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook project that’s built on Phoenix LiveView.

Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.

Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).

This week we’re talking about the recent falling out between Elastic and AWS around the relicensing of Elasticsearch and Kibana. Like many in the community, we have been watching this very closely.

Here’s the tldr for context. On January 21st, Elastic posted a blog post sharing their concerns with Amazon/AWS misleading and confusing the community, saying “They have been doing things that we think are just NOT OK since 2015 and it has only gotten worse.” This lead them to relicense Elasticsearch and Kibana with a dual license, a proprietary license and the Sever Side Public License (SSPL). AWS responded two days later stating that they are “stepping up for a truly open source Elasticsearch,” and shared their plans to create and maintain forks of Elasticsearch and Kibana based on the latest ALv2-licensed codebases.

There’s a ton of detail and nuance beneath the surface, so we invited a handful of folks on the show to share their perspective. On today’s show you’ll hear from: Adam Jacob (co-founder and board member of Chef), Heather Meeker (open-source lawyer and the author of the SSPL license), Manish Jain (founder and CTO at Dgraph Labs), Paul Dix (co-founder and CTO at InfluxDB), VM (Vicky) Brasseur (open source & free software business strategist), and Markus Stenqvist (everyday web dev from Sweden).

Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog.

Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.

Amal Hussein (Engineering Manager at npm) joined the show to talk about AST’s — aka, abstract syntax trees. Amal is giving a talk at All Things Open on the subject so we asked her to give us an early preview. She’s on a mission to democratize the knowledge and usage of AST’s to push legacy code and the web forward.

Dave Kerr joins Jerod to discuss the various laws, theories, principles, and patterns that we developers find useful in our work and life. We unpack Hanlon’s Razor, Gall’s Law, Murphy’s Law, Kernighan’s Law, and too many others to list here.

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.

Brett Cannon (our unofficial ambassador to the Python community) is here to help alleviate our pip install anxiety. Along the way, we ask him about Python 4, removing the GIL, what he thinks about Chris Lattner’s Mojo project, Rust in the Python world & way more (of course).

This week we’re joined by Steve O’Grady, Principal Analyst & Co-founder at RedMonk. The topic today is the definition of open source, the constant pressure on the true definition of the term, and the seemingly small but vocal minority that aim to protect that definition. In Steve’s post Why Open Source Matters, he says “open source is at a crossroads” and there are some seeking to break the definition of open source to one that is more permissive to their desires, and they are closer than ever to achieving that goal. Today’s conversation goes deep on this subject.

On September 29th, Netflix shipped its final DVDs, marking the end of an era in physical media. So, we invited our friend Christina Warren (aka film_girl) from GitHub to pour out a drink with us and lament the end of this golden age of access to the films we all love.

This week we’re talking with Jonathan Carter who’s on his fourth term as Debian Project Lead (DPL) and we’re talking about 30 years of Debian!

This week we’re talking about open source on Mars. Martin Woodward (Senior Director of Developer Relations at GitHub) joins us to talk about the new Mars badge GitHub introduced. This collaboration between GitHub and NASA confirmed nearly 12,000 people contributed code, documentation, graphic design, and more to the open source software that made Ingenuity’s launch possible. Today’s show is a celebration of this human achievement and the impact of open source on space exploration as we know it.