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.
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 notes
Treating 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.
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.
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.
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 notes
Wadher 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.
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.
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.
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 stack
Works with any frontend or backend
Build with your own data, like product catalogs or customer data platforms, to create rich, dynamic experiences
You can check it out for yourself over at Builder.io.
Follow Steve on Twitter and TikTok where he breaks down websites and effects he finds interesting.
Around 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 notes
Conforti 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.