css grid for react native 🤩
@nishan.dev 👏👏👏
Posts by Kudo Chien
the idea is brilliant ➕
🏆 After a week of research and hours of passionate debate we have trimmed 1,200 apps down to 6 nominees for each of the App Award categories.
If you are looking for inspiration to elevate your app, you can find it here: expo.dev/awards
Congrats to all the nominees!
i’ve been trying material 3 expressive, but i’m still not a fan. not sure if it’s because of the color palette or because i’m too used to ios design language 🤔
not able to find one beautiful one from the list: 9to5google.com/2025/10/30/g...
in the preview stage, kind of opening smaller group to get feedback and understanding the server cost
good question. i guess it heavily depends on the models you use. MCP basically provides context to LLM. i've seen smart model that understand my intention quite well. also seen some model doing strange stuff, try-error many times blindly
I hope AI can verify the generated code itself without human back-and-forth. that’s how Expo MCP server began, and I’m excited to see more interesting ideas built on top of it.
my head was all about /mcp yesterday in my dream. probably there was some pressure to myself 😂
📢 @nishan.dev just landed a new @expo.dev module expo-glass-effect 🚀
Now that I’ve used pre compiled React Native on the Expo SDK 54 beta, I find myself very impatient with any project still building RN from source lol.
Spoiled so fast.
we can help ai grow too, by sharing failed attempts or precise information.
but i really hope that result model could be retained—so we don’t have to start ai from scratch like a junior dev every time.
it feels just like junior developers—we start without enough insight or wisdom, and only grow through trial and error. over time, those insights stack up and turn into experience.
we train ai for long hours hoping it can retain and reuse what it learned.
just like how we hope senior devs’ experience can be passed down.
but what kind of memory is that, really?
and how can it be preserved and reused over time?
what does memory mean for ai?
for large language models, it still mostly feels like language and text.
but the kind of “experience” that turns a junior dev into a senior one—built over time, through mistakes—often can’t be captured in just words.
here is the patch of react-native-ios-utilities for you gist.github.com/Kudo/1b892e3...
the code is basically referenced from github.com/expo/expo/bl...
i saw the build errors coming from react-native-ios-utilities, maybe the better way is to create a pr to add those HEADER_SEARCH_PATHS to its podspec.
though using config-plugins to update all HEADER_SEARCH_PATHS for all xcode projects also looks good to me.
it was actually a great feature request from @bacon.bsky.social for RSC streaming. glad that it helps for AI integration
i’m glad to hear that, thanks @hirbod.dev ❤️
watching the app.js conf live stream recording today. i'm so excited to see expo/fetch being broadly used. thanks to @delphinebugner.bsky.social for bringing this great talk and the kind mention.
Keynote
by @ccheever.com
#sketchnote #react #reactnative
Exciting new packages while the AppJS is about to start 🔥
Learn more in the new Rocket Ship podcast episode.
I didn't build this, but I am a frequent contributor of adjectives to put in front of EAS Update terminology (see also "fuzzy runtime"). Soft fingerprinting was one of those very organic outputs of the continuous dialogue between our team and those using Updates at scale. Excited for this!
nice 🤩
After 4 years of work, I'm incredibly excited to introduce LiveStore, the next-gen data layer I'm building for Overtone.
It's based on reactive SQLite and has a built-in sync engine. Give it a try - would love your feedback!
will bring a few @expo.dev coasters there. excited to meet the community tonight.
AI programmer agents or whatever won’t work if they need people to actually review pull requests to land code safely.
The secret is no one actually reviews pull requests. And no one really wants to. Reviews are an mostly an illusion so we look productive and responsible.
Debugging in React Native got easier today.
We now have an official integration with @sentry.io so you can see errors and replays directly in your EAS Deployments.
No more digging through logs or guessing at app state.
📖 expo.dev/blog/diagnos...
trying to act as a prompt engineer wasn’t so fun. the models have been unpredictable in different ways.
think positive — it also brings more possibilities and new ideas.
felt like a prompt engineer after exploring some ai integrations