DiscoverThe Stack Overflow Podcast
The Stack Overflow Podcast
Claim Ownership

The Stack Overflow Podcast

Author: The Stack Overflow Podcast

Subscribed: 62,209Played: 1,914,026


For more than a dozen years, the Stack Overflow Podcast has been exploring what it means to be a developer and how the art and practice of software programming is changing our world. From Rails to React, from Java to Node.js, we host important conversations and fascinating guests that will help you understand how technology is made and where it’s headed. Hosted by Ben Popper, Cassidy Williams, and Ceora Ford, the Stack Overflow Podcast is your home for all things code.
543 Episodes
Astro is a site builder that lets you use the frontend tools you already love (React, Vue, Svelte, and more) to build content-rich, performant websites. Astro extracts your UI into smaller, isolated components (“islands”) and replaces unused JavaScript with lightweight HTML for faster loads and time-to-interactive (TTI).Ben and Nate explain why Astro’s compiler was written in Go (“seemed like fun”).To learn more about Astro, start with their docs or see what people are doing with the framework.Connect with Ben on LinkedIn, GitHub, or via his website.Connect with Nate on GitHub.Shoutout to Lifeboat badge winner Aurand for their answer to How to convert list to queue to achieve FIFO.
In complex service-oriented architectures, failure can happen in individual servers and containers, then cascade through your system. Good engineering takes into account possible failures. But how do you test whether a solution actually mitigates failures without risking the ire of your customers? That’s where chaos engineering comes in, injecting failures and uncertainty into complex systems so your team can see where your architecture breaks. On this sponsored episode, our fourth in the series with Intuit, Ben and Ryan chat with Deepthi Panthula, Senior Product Manager, and Shan Anwar, Principal Software Engineer, both of Intuit about how use self-serve chaos engineering tools to control the blast radius of failures, how game day tests and drills keep their systems resilient, and how their investment in open-source software powers their program. Episode notes: Sometimes old practices work in new environments. The Intuit team uses Failure Mode Effect Analysis, (FMEA), a procedure developed by the US military in 1949, to ensure that their developers understand possible points of failure before code makes it to production. The team uses Litmus Chaos to inject failures into their Kubernetes-based system and power their chaos engineering efforts. It’s open source and maintained by Intuit and others. If you’ve been following this series, you’d know that Intuit is a big fan of open-source software. Special shout out to Argo Workflow, which makes their compute-intensive Kubernetes jobs work much smoother. Connect on LinkedIn with Deepthi Panthula and Zeeshan (Shan) Anwar.If you want to see what Stack Overflow users are saying about chaos engineering, check out Chaos engineering best practice, asked by User NingLee two years ago.
In a win for accessibility, GitHub Copilot now responds to voice commands, allowing developers to code using their voices.Speaking of accessibility, learn how Santa Monica Studio worked with disabled gamers and the community to build accessibility into God of War Ragnarök.The US Food and Drug Administration (FDA) has determined that lab-grown meat is safe to eat.Looking for some high-quality entertainment content? Look no further than Simone Giertz’s YouTube channel, where she builds robots to (among other things) wash her hair and wake her up with a slap in the face.Blast from the past: Listen to our episode with MongoDB CTO Eliot Horowitz.Shoutout to Lifeboat badge winner ralf htp for their answer to How to listen for and react to Ace Editor change events.
First, some self-administered back-patting for the Stack Overflow editorial team: great engineering blogs give tech companies an edge (The New York Times says so). Hiring aside, engineering blogs are fresh sources of knowledge, insight, and entertainment for anyone working in tech. You can learn a lot from, for instance, blog posts that break down an outage or security incident and detail how engineers got things up and running again. One classic of the genre: Amazon’s explanation of how one engineer brought the internet to its knees. And here’s an example from our own blog. When you’ve finished catching up on the Stack Overflow blog, check out those from Netflix and Uber.Good news for late-night impulse shoppers: Instagram is removing the shopping tag from the home feed, reports The Verge. Is this a response to widespread user pushback, and does this herald the end of New Instagram? We can hope.Sony announces Project Leonardo, an accessibility controller kit for PS5.Did you know? Using only Tetris, you can build a machine capable of universal computation.Developer advocate Matt Kiernander is moving on to his next adventure. If you’re looking for a developer advocate or engineer, connect with him on LinkedIn or email him.One of Matt’s favorite conversations on the podcast was our episode with Mitchell Hashimoto, cofounder and CEO of HashiCorp. It’s worth a (re)listen.
At an SaaS company like Intuit that has hundreds of services spread out across multiple products, maintaining development velocity at scale means baking some of the features that every service needs into the architecture of their systems. That’s where a service mesh comes in. It automatically adds features like observability, traffic management, and security to every service in the network without adding any code. In this sponsored episode of the podcast, we talk with Anil Attuluri, principal software engineer, and Yasen Simeonov, senior product manager, both of Intuit, about how their engineering organization uses a service mesh to solve problems, letting their engineers stay focused on writing business logic. Along the way, we discuss how the service mesh keeps all the financial data secure, how it moves network traffic to where it needs to go, and the open source software they’ve written on top of the mesh. Episode notes:For those looking to get the same service mesh capabilities as Intuit, check out Istio, a Cloud Native Computing Foundation project. In order to provide a better security posture for their products, each business case operates on a discrete network. But much of the Istio service mesh needs to discover services across all products. Enter Admiral, their open-sourced solution. When Intuit deploys a new service version, they can progressively scale the amount of traffic that hits it instead of the old version using Argo Rollouts. It’s better to find a bug in production on 1% of requests than 100%.If you want to learn more about what Intuit engineering is doing, check out their blog. Congrats to Great Question badge winner, HelpMeStackOverflowMyOnlyHope, for asking Detect whether input element is focused within ReactJS
There is a ton of great research to be found on Prof. Kapfhammer's website, including: Flaky Tests: Finding and fixing unpredictable and harmful test casesDatabase Testing: Automatically testing relational database schemasWeb Testing: Detecting and repairing poor responsive web page layoutWe've written a bit about how Stack Overflow is upping its unit testing game and how you can evaluate multiple assertions in a single test.Thanks to our lifeboat badge winner of the week, Survivor, for answering the question: Is it possible to find out if a value exists twice in an arraylist?
Juri is currently Director of Developer Experience (Global) and Director of Engineering (Europe) at Nrwl, founded by former Googlers/Angular core team members Jeff Cross and Victor Savkin.Nrwl has compiled everything you need to know about monorepos, plus the tools to build them, here.Connect with Juri on LinkedIn or explore his website.Shoutout to Lifeboat badge winner penguin2718 for their answer to Storing loop output in a dataframe in R.
Any large organization with multiple products faces the challenge of keeping their brand identity unified without denying each product its own charisma. That’s where a design system can help developers avoid reinventing the wheel every time, say,  a new button gets created On this sponsored episode of the podcast, we talk with Demian Borba, Principal Product Manager, and Kelvin Nguyen, Senior Engineering Manager, both of Intuit. We chat about how their design system is evolving into a platform, how AI keeps their brand consistent, and why a design system doesn’t have to solve every use case. Episode notesTreating a design system as a platform means providing a baseline of tokens—colors, typography, themes—and allowing developers to deviate so long as they use the right tokens. Alongside a company-wide push towards greater AI usage, Intuit’s design system team is beginning to leverage AI to help developers make better design decisions. As an example, they’re including typeahead functionality to suggest possible solutions to design decisions. The team is using a Figma plugin to manage a lot of the heavy lifting. Their presentation at Config 2022 built a lot of excitement for what’s possible. Congrats to RedVelvet, who won a great question badge for The most efficient way to remove first N elements in a list?Find Kelvin  and Demian  on Linkedin.
LogRocket helps software teams create better experiences through a combination of session replay, error tracking, and product analytics.LogRocket’s machine-learning layer, Galileo, cuts through the noise generated by conventional error monitoring and analytics tools to identify critical issues affecting users.LogRocket is hiring, so check out their open roles or connect with Matt Arbesfeld on LinkedIn. You can also give LogRocket a free trial.
Adobe closed out 2022 and celebrated 40 years with an employee-only Katy Perry concert. Related: Ceora makes the case for virtual concerts.DeepMind is teaching AI to play soccer, which naturally makes us think of QWOP.ICYMI: Ghost calls out Substack and Substack responds.BeReal is the iPhone app of the year. But not even Resident Youth Ceora knows anyone who actually uses it.Some 2023 recommendations from the team: Ceora recommends Realworld (not to be confused with BeReal), an app that guides you through tasks and decisions big and small, from deciding on health insurance to improving your credit.Cassidy recommends Bird by Bird: Some Instructions on Writing and Life, by Anne Lamott.Matt suggests fellow side hustlers check out The Freelance Manifesto: A Field Guide for the Modern Motion Designer by School of Motion founder Joey Korenman.Ben recommends Tomorrow, Tomorrow, and Tomorrow, a terrific novel about a love triangle between indie video game creators, especially fun if you grew up with Oregon Trail, Myst, and Super Mario. 
Over the past five years, Intuit went through a total cloud transformation—they closed the data centers, built out a modern SaaS development environment, and got cloud native with foundational building blocks like containers and Kubernetes. Now they are looking to continue transforming into an AI-driven organization that leverages the data they have to make their customers’ lives easier. Along the way, they realized that their internal systems have the same requirements to leverage the data they have for AI-driven insights. Episode notesWadher notes that Intuit uses development velocity, not developer velocity. The thinking is that an engineering org should focus on shipping products and features faster, not making individual devs more productive. No, the robots aren’t coming for your jobs. Wadher says their AI strategy relies on helping experts make better insights. The goal is to arm those experts, not replace them. In terms of sheer volume, the AI/ML program at Intuit is massive. They make 58 billion ML predictions daily, enable 730 million AI-driven customer interactions every year, and maintain over two million personalized AI models. Intuit’s not here to hoard secrets. They’ve outsourced their DevOps pipeline tool, Argo. They found that a lot of companies used it for AI and data pipelines, and have recently launched Numaproj, which open sources a lot of the tools and capabilities that they use internally. Congrats to Lifeboat badge winner Bill Karwin for their answer to Understanding MySQL licensing. 
If you want to read more about Jessica, you can check out the blog we worked on together for the launch of our Overflow Offline initiative. If you've ever wondered what it's like learning to code from an XML file of raw Stack Overflow data, be sure to check this episode out.You can learn more about the Supreme Court case that led to Jessica's release here.Her company's mission is to build a better justice system from the inside, specifically by educating incarcerated individuals so they can teach the next generation and have valuable skills upon release. Read more about Unlocked Labs here.Our lifeboat badge of the week goes to mx0 for answering the question: How do you extract the 'src' attribute from an 'img' tag using Beautiful Soup?Follow Ben on Twitter and if you enjoy the show, be sure to leave us a rating and review.
You can learn more about Anthony here.His favorite terminal tool at the moment is Warp, which describes itself as "a blazingly fast, Rust-based terminal reimagined from the ground up to work like a modern app." His personal website features a live chat function. Sometimes it's actually Tony, sometimes it's just a bot. No lifeboat badge today. We''ll be taking a break for the holidays and will resume episodes in 2023. Until then, enjoy the holidays. 
Ben asks Matt to explain Mastodon to him like he’s five. Matt says the experience feels a lot like…LinkedIn?Matt explains that he took social media apps off his phone for a while…just to chill out. (Ed. note, they're already back on.)We cover the latest AI to emerge that can write essays, jokes, and yes, some code.While everyone’s confused about the state of social media and AI chat, physicists have created a wormhole using a quantum computer. (Though it may have been a publicity stunt.)Follow Ben and Matt.Shout out to Lifeboat Badge winner ralf htp for their answer to the question ‘how to listen for and react to Ace Editor change events.’ Your answer has helped more than 20,000+ people, so rock on.
Steve was working as an engineering manager at ShopStyle and found that an increasing amount of his team's time was spent working on custom requests from departments like marketing and sales. They tried moving to a headless CMS but the data and components couldn't keep up with ever evolving needs. They wanted a drag and drop system connected to their code, data, and components.This pain point inspired him strike out on his own to create a new product. The vision was a tool that would allow colleagues from across a company to make changes to web pages without requesting dev time, but would also ensure that any changes made would be up to the standards of the design department and not introduce errors that engineering would then have to fix. Hence, the company's pitch for a plug & play system that integrates with your existing sites & apps. It relies on a few key ideas:API-based infrastructure that is native to your tech stackWorks with any frontend or backendBuild with your own data, like product catalogs or customer data platforms, to create rich, dynamic experiencesYou can check it out for yourself over at Steve on Twitter and TikTok where he breaks down websites and effects he finds interesting.Congrats to phoenisx for being awarded the Necromaner badge after answering the question: Property 'share' does not exist on type 'Navigator"? 
SPONSORED BY COMMERCE LAYERAround the world, billions of people can sell their wares online, in part thanks to solutions that handle the complexities of securely and reliably managing transactions. Businesses, large and small, can sell directly to customers. But a lot of these ecommerce services provide a heavier surface than many need by managing product catalogs and requiring inflexible interfaces. On this sponsored podcast episode, Ben and Ryan talk with Filippo Conforti, co-founder of Commerce Layer, an API-only ecommerce platform that focuses on the transaction engine. We talk about his early years building ecommerce at Italian luxury brands, the importance of front-ends (and micro-frontends) to ecom, and how milliseconds of page load speed can cost millions. Episode notesConforti was the first Gucci employee building out their ecommerce, so he got to experience life in a fast-moving startup within a big brand. When he left five years later, the team had grown to around 100 people. The ecommerce space is crowded—one of Commerce Layer’s recent clients evaluated around 40 other platforms—but Conforti thinks Commerce Layer stands out by making any web page a shoppable experience. Conforti thinks composable commerce back ends that neglect the front end neutralize the benefits. Commerce Layer provides micro-frontends—standard web components that you can inject into any web page to create shoppable experiences. Getting your ecommerce platform as close to your customer makes real monetary difference. A report from Deloitte finds that a 100ms response time increase on mobile translates to an 8% increase in the conversion rate. Thanks to Mitch, today’s Lifeboat badge winner, for their answer to the question, How to get all weekends within a date range in C#? 
Webpack has been king for several years. Vercel wants folks to embrace Turbopack, but their claims about speed raised a lot of backlash after it was first announced. Lee explains why he thinks the Rust-based approach will ultimately be a big benefit to developers and how organizations who are deeply ingrained with existing tools can safely and incrementally migrate to what is, for now, a very Alpha and experimental release. We go over the routing and rendering updates in Next.JS 13, exploring where it might offer developers more flexibility and the ability to use React server components to ship less, maybe a lot less, JavaScript. As Lee says in the episode: “So to your point about wanting to ship less JavaScript, that was a kinda fundamental architectural decision of where we headed with the app directory. And the core of this is because it's built on React server components. The key thing with React server components is that as your application grows in size from one component to a hundred thousand components, the amount of client-side JavaScript you send can be exactly the same. It can be constant because you can render every single component on the server. And that's a lot different from the world of React applications today, where every new component you add for data fetching or just putting some HTML on the screen also adds additional client-side JavaScript.So this is kind of inverting the default, back from the client to be server first. Now, of course, we still love client-side interactivity that React provides making really interactive and rich UI experiences, but the default for data fetching or just getting HTML to the browser happens from the server, and that's gonna help us reduce the amount of JavaScript.”You can learn more about Lee on his website, LinkedIn, and Twitter. To diver deeper into his take on how Rust will impact the future of Javascript, check out a post he wrote here.
You can learn more about Andrew, from building out a telco in Canada to cyber security at Deloitte, on his LinkedIn.Validation Cloud bills itself as the world’s fastest node infrastructure and cites networks like Bitcoin, Ethereum, and Binance as clients it supports. Learn more at the company’s website here.The company announced the launch of it's latest product, Javelin, earlier today.Shout out to this week’s lifeboat badge winner, Derek, for helping answer the question: How do you open  the file chooser in an Android app using Kotlin?
Data show's Silicon Valley's share of new startup funding deals dropped below 20% for the first time.What does it mean to experiment with big changes to an engineering org, in public and in real time?SBF would like the chance to explain himself.Today's lifeboat badge goes to CodeCaster for explaining: What is E in floating point?
Srivastava reflects on his upbringing in India, learning to write Assembly, and going to Stanford University to complete his Ph.D in computer science.He shares his early career experiences at big tech names like Yahoo!, Google, Twitter, and Google.The group reflects on some of the engineering challenges at Patreon including technical debt, migrations to open source services, and troubleshooting bugs.Srivastava walks us all through upcoming product features that his engineering team is working to implement.Andy wins a Lifeboat Badge for answering this question about a list of all tags on Stack Overflow.Follow Ben, Matt, Cassidy, and Utkarsh.
Comments (15)

Emilia Gray

Now creating a personalized solution for your business is much more profitable, it will save you from the cost of additional licenses or subscriptions for additional features. Even if you don't have your own development team, you can always delegate the task to services like this

Sep 1st

Corey Alix

👍 no tech like old tech...except for vscode and typescript and esm and chrome and netlify which is on aws... great provocation and agree with sentiment but we are fly fishing without knowing about flying insects.

Mar 5th


I’m bullish on web3 and machine learning…especially with respect to inclusion. i believe/feel that it’s far easier to objectively de-bias data than de-bias actual humans.

Nov 6th

MC Podcaster

This whole show was about complaining about white straight men.

Nov 5th


yeahhhhhhh.......*takes a breath* yeeeeahhhhhh!!

May 11th

Mike MacCana

ugh thought this was about actual crypto. disappointing to see see Stack Overflow use the term incorrectly like this.

Jan 12th

Adnan Rasim

Great podcast. I like it. Keep going up

Jan 9th


you can sit on that chair and make fun of COBOL and Mainframes whole the day, whether accept it or not more than 80% of financial transactions are being processed by this technology.

Apr 17th

Brian Obey

its why I joined stack too have dark mode

Apr 12th


I hear glitches more that words!

Dec 30th

Beatrix Ducz

there are these mini japanese sand zen gardens, you could make a large one to release stress. :)

Dec 26th

Willem van Gogh

Sorry, to American. Not for me.

Oct 17th
Reply (3)
Download from Google Play
Download from App Store