We ship cross-platform products at AI speed. Training LLMs (Apex). React Native Core Contributors & React Foundation Members. Bringing you @AgentConf.
Joined August 2016
- Tweets 4,299
- Following 392
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Pinned Tweet
May 26
When the way software is built changes, we help companies adopt it.
For over a decade, that meant bringing React Native to production across mobile, web, desktop, and TV.
Now we are expanding that same mission to AI-native engineering: helping teams ship software with agents, safely and at scale.
This is our new manifesto.
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Callstack Engineers retweeted
Jun 13
run Maestro tests 2x faster on Android with this tool
» 𝚊𝚐𝚎𝚗𝚝-𝚍𝚎𝚟𝚒𝚌𝚎 𝚝𝚎𝚜𝚝
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Callstack Engineers retweeted
Jun 12
One week left: Call for Papers for Agent Conf closes June 20.
We’re looking for talks on vibe coding, agentic engineering fundamentals, orchestration and multi-agent systems, and adoption stories from teams doing the work.
What worked. What failed. What changed once agents left the demo.
Submit your talk: sessionize.com/agent-conf-20…
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Callstack Engineers retweeted
Jun 11
Agent Conf is coming sooner than you think!
→ call for papers closes on June 20th
→ last early bird tickets are available
→ DM me for promo code if you run 3 agents now
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Jun 11
Scaling TV apps across platforms usually means more teams, more duplicated product work, and more coordination overhead.
Zattoo used React Native to change that.
They shared what made sense, kept playback and platform-specific behavior visible, and used one new platform request to build a broader TV foundation. Read the article 👇 Link below
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Callstack Engineers retweeted
Jun 11
Last Early Bird Tickets for Agent Conf are up for grabs.
Learn how to work better with agents. Speakers include @dabit3, @levan, @TejasKumar_ , @kentcdodds, @thekitze, @davidmokos_ , and more to be announced soon.
September 17-18, 2026, Warsaw
Get tickets: agent.sh/tickets
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Jun 10
Vibe coding can get you to working fast.
It can also get you to messy architecture, hidden bugs, and runaway token spend even faster.
We wrote down 5 practical lessons from building with AI coding agents:
✔️stay in control
✔️scope tighter
✔️know your stack
✔️describe the data first
✔️watch the cost
Learn more from the article👇 Link in the comments
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Callstack Engineers retweeted
Jun 10
Coming with your team?
Group tickets for Agent Conf are 15% off. Use Discount code "Teams15" for 3 tickets.
Compare notes, pressure-test ideas, and learn from other people building with agents.
Get tickets: agent.sh/tickets
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Callstack Engineers retweeted
This is what mobile performance optimization looks like in 2026.
Powered by agent-device 👇
I didn't guess at any of this:
🤖 I profiled every regression on real devices with @callstackio's agent-device: frame timing, CPU, and memory
👨⚕️ I held the codebase to a 100/100 health score with @aidenybai's react-doctor.
🧪 Pure tick functions, 95% test coverage.
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Callstack Engineers retweeted
→ agent-device works with iOS 17
→ codex can now disable Liquid Glass for me
→ zero screenshots made, all through a11y info
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If you missed WWDC today, here's our summary of what's new for On Device AI.
Includes timestamps so you can watch the keynote yourself! 🎥
I put everything what's new into this article ⬇️ callstack.com/blog/on-device…
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Wake up babe it's shipping week 🐑
Lots of updates for on-device AI from Apple.
I think I'll drop this from @ReactSummit stage on Friday! 🔥
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We've been building the Apple Intelligence layer for React Native for a year now.
Exciting to see the platform move in this direction, and even more exciting to help React Native teams start using it through one familiar API.
Big update coming this week 🔥
Huge update to Apple Intelligence ✅
- Image inputs
- Skills
- Server models
Can't wait to drop this for y'all this week to test! Let's go! 🔥
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Callstack Engineers retweeted
Jun 4
See you in Paris in September 👋
And today’s the day of @satya164, creator of React Navigation, React Native Paper, and much more. Needless to say, he is one of the most impactful contributors to the RN ecosystem.
📆 Paris, September 24
👉 reactnativeconnection.io
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We optimized self-hosted Gemma 4 31B for Apex, our specialized React Native coding model.
The setup: vLLM, two-GPU tensor parallelism, KV cache tuning, context limits, and MTP speculative decoding.
The result: up to 2.48x higher output-token throughput.
Read more 👇 Link below
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