Changelog Master Feed

Reorx lists awesome apps & tools using the new ChatGPT API, Ernie Smith ranks self-hosted app alternatives, Very Good Ventures brings Dart to the server, Daniel Stenberg tells curl’s NuGet story & Hacker Stations showcases tech workspace setups from all over the world.

KBall and Nick interview one of the leaders of the Tauri project about this next generation app bundling toolkit: the security, size, and performance features that make it special (and dare we say, better than Electron?), and what’s coming next.

This is our 9th Kaizen with Adam & Jerod. We start today’s conversation with the most important thing: embracing change. For Gerhard, this means putting Ship It on hold after this episode. It also means making more time to experiment, maybe try a few of those small bets that we recently talked about with Daniel. Kaizen will continue, we are thinking on the Changelog. Stick around to hear the rest.

This week we’re joined by Brigit Murtaugh, Product Manager on the Visual Studio Code team at Microsoft, and we’re talking about Development Containers and the Dev Container spec. Ever since we talked with Cory Wilkerson about Coding in the cloud with Codespaces we’ve wanted to get the Changelog.com codebase setup with a dev environment in the cloud to more easily support contributions. After getting a drive-by contribution from Chris Eggert to add a Dev Container spec to our codebase, we got curious and reached out to Brigit and asked her to come on the show to give us all the details.

With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs. Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.

Sahn Lam details Stack Overflow’s monolith/on-prem architecture, Hillel Wayne asks the Lobsters community for killer libraries, Linux 6.2 is ready to run on M1 Macs thanks to Asahi Linux, Johan Halse writes up what to expect from your web framework & Eli Bendersky on using GoatCounter for blog analytics.

This week Evan Prodromou is back to take us deeper into the Fediverse. As many of us reconsider our relationship with Twitter, Mastodon has been by-and-large the target of migration. They helped to popularize the idea of a federated universe of community-owned, decentralized, social networks. And, at the heart of it all is ActivityPub. ActivityPub is a decentralized social networking protocol published by the W3C. It is co-authored by Evan as well as; Christine Lemmer-Webber, Jessica Tallon, Erin Shepherd, and Amy Guy. Today, Evan shares the details behind this protocol and where the Fediverse might be heading.

Una & Adam from The CSS Podcast defend their Frontend Feud title against challengers David & Shaw from the keyframers. Let’s get it on!

We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.

Simon Willison rounds up the goings on around Microsoft’s new GPT-powered Bing search, The Vue/Vite team build a nimble web client for Mastodon, Will Larson writes about writing an engineering strategy, Denis Pushkarev seeks support to maintain core-js & I share a lightning round of cool tools I’ve found and used recently. ⚡️

This week we’re talking to Rachel Potvin, former VP of Engineering at GitHub about what it takes to scale engineering. Rachel says it’s a game-changer when engineering scales beyond 100 people. So we asked to her to share everything she has learned in her career of leading and scaling engineering.

Amal sits down for a one-on-one with Alex Russell, Microsoft Partner on the Edge team, and former Web Standards Tech Lead for Chrome, whose recent post, The Market for Lemons, stirred up a BIG conversation in the web development community. Have we really lost a decade in potential progress? What happened? Where do we go from here?

Our “what’s new in Go” correspondent Carl Johnson joins Mat & Johnny to discuss… what’s new in Go 1.20, of course! What’d you expect, an episode about Rust?! That’s preposterous…

Tim McNamara is known as New Zealand’s Rust guy. He is the author of Rust in Action, and also a Senior Software Engineer at AWS, where he helps other builders with all things Rust. The main reason why Gerhard is intrigued by Rust is the incredible resource frugality. Fewer CPUs means less energy used, which is good for the planet, and good for the monthly bill. This becomes most noticeable at Amazon’s scale, when S3, Lambda, CloudFront and other services start adding Rust components.

We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!

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.

This week we invited our friend Mat Ryer to join us for some good conversation about some Git tooling that’s been on our radar. You may know Mat from Go Time and also Grafana’s Big Tent, which we help to produce. We speculate, we discuss, we laugh, and Mat even breaks into song a few times. It’s good fun.

The panel dives into the current hot topic that is Generative AI. They start by defining it (a surprisingly difficult topic), then go into experiences they’ve had, how to get started working with it as a developer, and where they think it will and will not be useful in the near future.

A quick look at the history of building web apps, followed by a discussion of htmx and how it compares to both modern and traditional ways of building.

Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.