We just released react-native-runtimes! 🥳
👉 Render React components on separate JS Runtimes
👉 Share state (Zustand) across Runtimes, synced in C++
👉 Dual-Thread-approach for rendering/business logic
We plugged this into MetaMask which made the app start substantially faster:
React Native on Meta Quest
Build VR apps using React Native and the standard Android workflow. A new blog post covers setup, Expo integration, and platform-specific configuration.
Read more here: reactnative.dev/blog/2026/02/2…
AI is a multiplier, not a replacement. If you don’t know what you’re building, the agent will happily give you garbage at high speed.
And then we blame AI. But whose fault is that really?
Top three things to optimise list performance in React Native:
1. Use LegendList
2. Load thumbnails first, defer full-res images
3. Prefetch real images when needed
This is why most React Native lists never hit 60 FPS.
❌ What actually kills performance:
– Fake virtualization
– Re-rendering old items
– JS involved in scrolling
– Full-res images in rows
– FlatList “recycling”
– Sprinkling useMemo and hoping for best
Software Engineering Expectations for 2026
- The majority of your code should be written by AI now
- Cursor/Codex/Claude Code/Gemini/etc
- You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle.
- You should be using AI to check the code that is written by AI
- Have AI write tests
- Have AI read logs
- Have AI navigate your browser
- I don't do this every time because sometimes it's simple enough to check it myself
- You should still skim code changes
- This can be a lighter skim on internal tools and a heavier read through on customer facing code
- Use AI to help you define specs
React Native 0.83 is now available!
This release includes React 19.2, new React Native DevTools features, and support for new Web APIs. And, it's the first React Native release with no user facing breaking changes.
reactnative.dev/blog/2025/12/1…
To your point, having AI-assisted tools to build apps (with React Native or anything else) is part of your experience IMO and interviews should account for that.
At Expo I tell the team using AI is a skill and in 5 years we will be glad to have been practicing it day by day (or regretful and possibly feeling threatened if we do not). We are also embracing AI in interviews for this reason.
However it can be useful to show or tell an interviewer about an actual RN app or native module you built. Having run into the “unknown unknowns” is valuable especially with how inconsistently (un)reliable LLMs are. It’s worth going through the motions at least once.
On this tangent we are working on dependable AI, most recently with Expo MCP Server which feeds up-to-date docs to LLMs and lets agents interact with mobile simulators (tap, screenshot) and verify their work before interrupting the human. In the future I hope we can feed app state, the view hierarchy, and all types of errors to the agent.
@striver_79 With the combination of "Gitlens' and "Github Pull Requests" extension, you get this button to do the same by opening the PR in the editor itself and then use this button directly to check the previous versions. Don't think gh has this in their UI directly.
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