Nick & KBall sit down with the brilliant Stephen Haberman to discuss all things ORMs! 💻🔍

From the advantages and disadvantages of ORMs in general, to delving into the intricacies of his innovative project Joist, which brings a fresh, idiomatic, ActiveRecord-esque approach to TypeScript. 🚀

So sit back, relax, and let’s dive deep into the world of ORMs with the experts!

This week Sarah Drasner joins us to talk about her book Engineering Management for the Rest of Us and her experience leading engineering at Zillow, Microsoft, Netlify, and now Google.

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!

Thunderbird is thriving on small donations, Syncthing is a super-cool continuous file sync program, LLMs are so hot right now and they’re making vectors hot by proxy & MDN defines a Baseline for stable web features.

Developer slash artist Alex Miller joins Jerod & Amelia to discuss the challenge he faced after deciding to eschew fancy frameworks and libraries in favor of vanilla JS to build an interactive essay called Grid World for the html review.

Conferences are an integral part of the Go community, but the experience of conferences has remained the same even as the value propositions change. In this episode we discuss what conferences generally provide, how value propositions have changed, and what changes conference organizers could make to realign their conference experience to a new set of value propositions.

There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).

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.

Jeremy Howard thinks Mojo might be the biggest programming language advance in decades, Amelia Wattenberger is not impressed by AI chatbots, a leaked Google memo admits big tech has no AI moats & Werner Vogels reminds us that monoliths are not dinosaurs.

This week Adam is joined by Michael Grinich, Founder & CEO at WorkOS. Michael shares his journey to build WorkOS, what it takes to cross the Enterprise Chasm, and how he’s building his sales organization for growth.

Dax Raad joins KBall and Nick to chat about SST, a framework that makes it easier to build full-stack applications on AWS. We chat about how the project got started and its goals. Then we discuss OpenNext, an open source, framework-agnostic server less adapter for Next.js.

The DevCycle team joins Jon & Kris for a deep conversation on WebAssembly (Wasm) and Go! After a high-level discussion of what Wasm is all about, we learn how they’re using it in production in cool and interesting ways. We finish up with a spicy unpop segment featuring buzzwords like “ChatGPT”, “LLM”, “NFT” and “AGI”

José Valim joins Jerod to talk all about what’s new in Livebook – the Elixir-based interactive code notebook he’s been working on the last few years.

José made a big bet when he decided to bring machine learning to Elixir. That bet is now paying off with amazing new capabilities such as building and deploying a Whisper-based chat app to Hugging Face in just 15 minutes.

José demoed that and much more during Livebook’s first-ever launch week. Let’s get into it.

Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all.

Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.

Hyperswitch is like the adapter pattern for payments, Austin Henley writes about the future of programming by summarizing recent research papers, Thoughtworks published their 28th volume of their Tech Radar, the team at General Products reminds devs to scan our technical writing for words such as “easy”, “painless”, “straightforward”, “trivial”, “simple” and “just” & we finish with a lightning round of cool tools.

Adam Argyle joins Amelia and Nick to catch them up on all the goings on within the world of CSS colors. There are a lot more options than you’d expect if you haven’t been keeping up, and Adam’s here to help you avoid the “gray dead zone”!

Go conferences are not as diverse as we’d like them to be. There are initiatives in place to improve this situation. Among other roles, Ronna Steinberg is the Head of Diversity at GopherCon Europe. In this episode we’ll learn more about the goal, the process and the problems, and how can each one of us help make this better.

This week Adam talks with Andy Klein from Backblaze about hard drive reliability at scale.

With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.

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.

Feross and his team at Socket recently shipped a wrapper library for the ubiquitous npm package manager’s command-line interface that brings enhanced security when you need it most: before executing any code

Bradly Farias lead this effort, so Jerod & Chris invited him on the show to learn all about it.

This week Adam is joined by Alex Gallego, Founder & CEO at Redpanda Data, to share his builder journey to create the Redpanda streaming data platform.

Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.

Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.

This week we’re joined by Zach Latta, the Founder of Hack Club. At 16, Zach tested out of high school and moved to SF to join Yo as their first engineer. After playing a key role at Yo, he founded Hack Club to help teen hackers start coding clubs around the world. Today, teen hackers can meet IRL, online, at a hackathon, or leverage Hack Club Bank a fiscal sponsor to create their own organization. Hack Club is the program Zach wished he had in high school.

Kara Deloss announces GitHub Accelerator’s 2023 cohort, Databricks releases the first open source, instruction-following LLM, fine-tuned on a human-generated instruction dataset licensed for research and commercial use, Mihai Parparita writes how he improved Tailscale thanks to Apple’s open source & Neal Fennimore asks and answers the question: Passkeys: what the heck and why?!

The panel dives into a topic that makes most software developers cringe: Professional networking. Starting with a definition - what does it even mean? - they go into hacks they’ve found for getting more comfortable with networking, building your network in person or online, and then using your network to find new job opportunities or consulting work.

This week we’re talking with Cory Doctorow (this episode contains explicit language) about his newest book Chokepoint Capitalism, which he co-autored with Rebecca Giblin. Chokepoint Capitalism is about how big tech and big content have captured creative labor markets and the ways we can win them back. We talk about chokepoints creating chickenized reverse-centaurs, paying for your robot boss (think Uber, Doordash, Amazon Drivers), the chickenization that’s climbing the priviledge gradient from the most blue collar workers to the middle-class. There are chokepoints in open source, AI generative art, interoperability, music, film, and media. To quote Cory, “We’re all fighting the same fight.”

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

What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”

Ken Thompson’s 75-year-project is a jukebox for the ages, Tabby is a self-hosted AI coding assistant, Codeberg is a collaboration platform and Git hosting for open source software, content and projects, TheSequence explains The LLama Effect & Paul Orlando writes about Ghosts, Guilds and Generative AI.