React Native at Scale
Get the full intelligence
Search transcripts, export clips, track mentions, and explore all topics from “React Native at Scale” inside PodZeus.
Manjiri Moge, a staff software engineer at Coinbase, reveals how React Native has become the backbone of one of the world’s most high-velocity mobile apps—not just for speed, but for reliability, scalability, and developer experience. She argues that React Native’s real power lies not in writing once and deploying everywhere, but in creating a unified engineering culture where web and native developers collaborate seamlessly. At Coinbase, performance isn’t measured in abstract benchmarks, but in how quickly users can check their crypto balance—what she calls the 'critical operation.' Her team uses four core metrics: cold start time, navigation feel, error rates, and end-to-end journey duration. What’s more, she warns that performance regression is inevitable without automation—"performance is a flat circle"—and that guardrails like ESLint, TypeScript, and AI-powered code reviews are essential to prevent drift. She also exposes the hidden costs of overfetching, polling, and preloading, and shows how GraphQL with deferred fields and Suspense instrumentation help optimize data loading. With the new React Native architecture, JSI and Turbo Modules promise to eliminate the old bridge bottleneck, making native integrations faster than ever. And in a bold claim, she shares that over 50% of Coinbase’s code is now AI-generated—agents that follow internal conventions to write idiomatic React Native code, reducing friction and accelerating delivery.
Performance is not a one-time fix—it’s a continuous loop; without automation, metrics regress within two years.
Use React Native’s new architecture with JSI and Turbo Modules to eliminate the native bridge bottleneck and speed up native integrations.
Measure performance by user intent: cold start time, navigation feel, error rates, and end-to-end journey duration—not just raw speed.
Overfetching, polling, and preloading are silent performance killers; use GraphQL with deferred fields to load only what’s needed.
AI agents at Coinbase write 50%+ of code, but only when given precise context via internal conventions like agents.md.
…and 3 more takeaways available in PodZeus
Introducing React Native at Scale
Josh Goldberg introduces Manjiri Moge, a staff software engineer at Coinbase, and sets the stage for a deep dive into React Native’s role in building high-velocity, scalable mobile apps at one of the world’s most demanding fintech platforms.
From Hardware to React Native: Manjiri’s Journey
Manjiri shares her late entry into coding, sparked by seeing her hardware project work in real time. She transitioned from native iOS/Android development to hybrid apps using Cordova, and finally found her home in React Native after its 2015 launch.
Why React Native Wins for Velocity and Unity
Manjiri explains how React Native enables teams to ship to both iOS and Android simultaneously, eliminating feature parity delays. She emphasizes the framework’s ability to attract both web and native engineers, creating a unified development culture.
Three Foundational Rules for New React Native Teams
“If you don't measure it, you don't know how to improve it. So I think observability needs to be the first thing.”
Design Systems as a Velocity Engine
Coinbase’s open-source design system enables consistent, reusable components across web and mobile, reducing reinvention and accelerating onboarding. Shared components like lists and modals come with built-in performance optimizations.
“We are writing more than 50% of code is AI generated. And I like it.”
“If you don't measure it, you don't know how to improve it. So I think observability needs to be the first thing.”
“We categorize wins when the same incidents don't happen two weeks later because of the same root cause.”
Host
Guest
React Native
other
Coinbase
organization
Manjiri Moge
person
GraphQL
other
Josh Goldberg
person
AI agents
other
Suspense
other
ESLint
other
JSI
other
Turbo Modules
other
FreeBSD with John Baldwin
Software Engineering Daily • 1h 3m • 3/31/2026
SED News: OpenCode, AI Code vs. Shipped Code, and the LiteLLM Breach
Software Engineering Daily • 56m • 4/2/2026
FastMCP with Adam Azzam and Jeremiah Lowin
Software Engineering Daily • 1h 6m • 4/7/2026
Mobile App Security with Ryan Lloyd
Software Engineering Daily • 54m • 4/9/2026
Unlocking the Data Layer for Agentic AI with Simba Khadder
Software Engineering Daily • 49m • 4/21/2026
Get the full intelligence
Search transcripts, export clips, track mentions, and explore all topics from “React Native at Scale” inside PodZeus.
Start discovering podcast insights today
Start with a 7-day trial and explore a growing catalog of popular podcasts. No credit card required.
No credit card required • 7-day trial • Cancel anytime
