Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!

In which Jerod, Nick, and KBall play the most preposterous round of “Explain it Like I’m 5” in human history. Then we dig in to Vite a little further than is advisable on a podcast. Finally, we talk about our Quiz Show app that powers JS Danger. You’re welcome!

Our award winning worthy survey game show is back, this time Mat Ryer hosts it live on stage at GopherCon EU Athens 2024! Join in & play along as we see which team can better guess what these GopherCon gophers had to say!

Justin & Autumn are joined by Steven Wu from Scanner. Scanner built logging infrastructure focused on security teams and occasional querying. We dive deep into how architectural decisions affect your business.

Jerod assembles a team of WebRTC experts (Suz, Feross, Mikeal) for a deep, deep dive on this practically-ubiquitous yet still-complicated web API.

We review its history, share really cool applications using the tech, provide an excellent primer on what you need to know about it, and details some production gotchas. ALSO we celebrate how Feross single-handedly “upgraded the internet”! 🙌

Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.

How does Google build Search? What about YouTube and Google Drive? We rely on Chrome’s Lighthouse scores when optimizing our websites, but what does Google prioritize? Recently the Angular and Wiz teams announced their intention to responsibly merge their internal frontend framework, Wiz, with Angular to bring some of Wiz’s best ideas to Angular. We’re chatting with Minko from Angular and Jatin from the Wiz team to learn about how Wiz has been used in Google historically, what it’s good at, and why it’s worth bringing some of its ideas to Angular.

Mikeal and Chris welcome (back) special guest Fred K. Schott, who you may recall from our episode on Pika. This time, we’re talking ESM: what it is, what’s new about it, why it’s the future, writing libraries with it, and much more.

Polypane purveyor Kilian Valkhof joins Nick & Jerod to tell us all about his efforts building a web browser just for web development. We cover it all: from the business concerns, to the technical details, to his excellent choice not to use TypeScript! We even sneak in a feature request that already made its way into this excellent dev tool for ambitious web developers.

Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.

MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.

In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).

KBall and Nick dive deep with Chris Manson and Jen Weber from the Ember core team. They talk about Ember.js: What it is, why it’s different, what’s new in the Ember Octane release, and what’s exciting in the future of the project.

Nabeel Sulieman, Senior Software Engineer at Vercel, talks about KCert, a simpler alternative to cert-manager that he built. Gerhard tried it out, and he thinks that Nabeel is onto something. If you want to see the video that they recorded, ping us on Twitter or Slack.

We love this story, especially the long-term approach of working on something that one truly believes in, and the only reason is because it’s fun. The world needs more people like Nabeel, and we hope that this episode inspires you to go all out, and do just that.

Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender.

Dave Eddy has learned systems programming the traditional way with books and man pages. Now he’s sharing what he’s learned, starting with bash.

We often try new frameworks and tools in side projects or throwaway contexts, but you don’t learn that much about a thing until you use it to build something real. That’s why we have Mat Ryer and David Hernandez joining us to share their experience of using Svelte while building their new startup, Pace.dev.

The State of JS 2019 survey left many in awe of the beautifully rendered line graph created by Amelia Wattenberger. So we’ve brought her on JS Party to discuss how she built it!

We’ll chat about all things D3, a JavaScript library for creating data visualizations, and even learn a bit about the CSS cascade.

Did you know you can make a device vibrate via a webpage? Neither did we until we popped open Luigi De Rosa’s super cool repo that collects many of the lesser known things browsers can do in 2020.

On this episode we hang out on his list and discuss which APIs were surprises to us, which we think are the most useful, which we wish would die in a fire (sorta), and what you might get if you mash up a few of these APIs.

Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.

Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).

We take up a listener request this week and have an honest conversation about jQuery. Then, it’s time for something new! Our friends at Hot New Tech review tone.js for us. After that, it’s Pro Tip Time!

The gang gets together to catch you up on what’s new & noteworthy in the community. Then we share a few things we’ve learned recently in our first-ever “Today I Learned” segment. Finally, we wrap it up with things we’re excited about.

The week we talk about the new Open Web Docs initiative and the future of MDN.

Jon, Mark, Johnny, and special guest Jamal Yusuf discuss what to expect when attending a conference like GopherCon. What should you be doing before you attend GopherCon? What should you bring to the conference? What shouldn’t you bring? What are the training sessions about? What about the hacking sessions and talking with the Go team? What if you don’t know anyone?

Pia Wiedermayer, Lead QA at Zühlke, is talking with Gerhard today about software quality. If the name sounds familiar, check out episode 28. Thank you Romano for the introduction 👋🏻

Do you remember the last time that you used an app, whether it was in the browser or on your mobile, and everything just worked? What about that intuitive feel, snappiness and you achieving the task that you intended to without feeling that you are fighting tech? Experiences like those take a lot of effort across multiple disciplines. They are designed, built and maintained over long periods of time. It all starts with people like Pia that really care about quality. It’s so much more than just automated testing…

So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.

KBall MCs as Jordan tells us about exciting JavaScript updates that are on the way, Amal takes us all to school digging into the details, and Emma makes a surprise on-air proposal.

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.

This week Adam is joined by Jori Lallo, Co-founder of Linear, to talk about creating magical software and building high-quality software teams.

We kick off with some exciting TypeScript news, follow that with some exciting JavaScript news, then finish off with an exciting interview. Key word: EXCITING