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Guide Explains Shipping Expo App Fixes With Over-The-Air Updates

Apple Review Takes Days: Ship Fixes Instantly with Over-The-Air Updates

Marco explains how to use Expo and EAS Update to push JavaScript changes to React Native apps without App Store review, detailing the fallbackToCacheTimeout setting and which changes still require a full store build.

Original post · 6 min read
X ArticleApple Review Takes Days: Ship Fixes Instantly with Over-The-Air Updates
You find a bug. A typo on the paywall, a broken button, a copy fix that would take you 30 seconds to write. Then you remember: shipping it means a new build, a new submission, and days of waiting on Apple review.
That's the problem OTA (over-the-air) updates solve. Push a JS change, and it's live on people's phones within seconds — no review, no waiting. Here's my exact setup, config and all, so you can copy it instead of guessing.
I'm running this on Expo/React Native with EAS Update.
The core config
Two settings do almost all the work:
json
"updates": {
"url": "u.expo.dev/[your-project-id]",
"enabled": true,
"fallbackToCacheTimeout": 10000
}
fallbackToCacheTimeout: 10000 is the setting that actually matters. On a cold start, the app waits up to 10 seconds for a new update to download — and if one's there, it launches straight into it. The default is 0, which means any update only takes effect on the next cold start after this one. With the timeout set, updates land immediately instead of one launch late.
The trade-off is honest: on a slow connection, app start can take up to those 10 seconds longer. I've decided that's worth it — instant fixes over a slightly slower worst-case launch.
Remind the 10 seconds is a ceiling, not the norm. That's just the timeout if the download stalls. On a normal connection the update usually finishes in 1–3 seconds, so in practice you rarely feel any delay at all.
One thing to know: this only fires on a genuine cold start. Reopening the app from the background doesn't trigger a new check. Realistically though, barely anyone goes weeks or months without ever fully closing the app at least once — so in practice this basically never becomes a problem.
What actually goes over OTA — and what doesn't
OTA-able: anything in JS/TS. Screens, business logic, copy, navigation, images and other assets. If you can write it in your app code, it can ship instantly.
Needs a full store build: new native modules, version upgrades of native dependencies that touch native code, any app.json field that compiles into the native project (permissions, icons, splash screen — even the fallbackToCacheTimeout setting itself), and SDK upgrades.
One nuance worth knowing: sometimes a feature looks JS-only but only works because the native side already shipped support for it in an earlier build. A config or variable change can go out via OTA — but only because the native plumbing for it was already sitting in a build people already have installed.
The actual workflow
bash
npx eas-cli@latest update --branch production --message "description" --non-interactive
Then commit and push. One easy-to-miss detail: EAS Update publishes whatever's in your working directory right now — not your last commit. Uncommitted changes go out with the update whether you meant them to or not. So commit immediately after publishing, to keep git and what's actually live in sync.
Three more levers worth knowing about
Rollback. eas update:rollback reverts to a previous update, or all the way back to the bundle embedded in the original build. Your emergency lever if an OTA update breaks something in production.
Staged rollout. Updates can ship to a percentage of users first (--rollout-percentage) instead of going straight to 100%. I currently push straight to everyone — a staged rollout is the safer move for anything you're not fully sure about.
Code signing. Updates can be cryptographically signed so only bundles you authorized can install. Not essential for most solo setups, but worth knowing it exists.
Is this actually allowed by Apple?
Yes — with real limits, not a loophole.
Apple's guidelines technically say apps shouldn't download code that changes their features or functionality. But there's an explicit carve-out: code interpreted by JavaScriptCore or Hermes is fine, as long as it doesn't add native capabilities that bypass review. That's exactly what a React Native JS bundle is. The native layer never changes — your JS only calls into native functions that were already reviewed and approved when you submitted the build. This isn't a gray area workaround; it's the sanctioned case, and it's been standard practice since 2017.
What's inside the lines: bug fixes, copy changes, layout tweaks, feature flags toggling things that were already part of what Apple reviewed. What's not: hiding a genuinely new feature behind a remote flag and quietly switching it on later. That's the same interpreted-code mechanism, but it's used to ship something Apple never saw — and apps have been flagged for exactly that.
One honest caveat: review is policy plus judgment, not just the text of the guideline. No tool — not Expo, not any other OTA provider — can promise "Apple-approved" updates, because that certification doesn't exist. What does exist is a clear, long-standing precedent for this exact use case. Stay inside it (fixes and tweaks, not disguised new features) and you're on solid ground.
The short version
Set fallbackToCacheTimeo… continue on X ↗
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More in Agents & Dev Tools

Developer Rebuilds Seven Adobe Apps in Rust Using Opus 5.5

Peter Yang highlights a developer who reimplemented seven Adobe apps, including Photoshop, Premiere and Lightroom, in Rust with Claude Opus 5.5 and open-sourced them. The developer believes they can match Adobe's features within months, against Adobe's $840 yearly all-apps plan.

Original post · 1 min read
It's insane to watch AI blow apart closed source software and games.

4 examples from the past month:

1. 7 of Adobe's biggest apps, including Photoshop, Premiere, and Lightroom, have been partially rebuilt in Rust with Opus 5.5 and open sourced. It's still early, but the developer thinks they can match Adobe's features within months. Adobe's all-apps plan costs $840/year.
Miguel Ángel Durán @midudev
Todos los productos de Adobe reimplementados desde cero, gratuitos y de código abierto

→ getartcraft.com/apps
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Vercel's Guillermo Rauch Explains Turborepo's Migration From Go to Rust

Guillermo Rauch says Vercel moved Turborepo from Go to Rust, a migration that was controversial internally due to human costs. He argues that with AI agents the calculus has changed, so what is best for humans is no longer necessarily best for business.

Original post · 1 min read
DHH is fundamentally right about Rust. For context, Vercel has been undergoing a Rust-ification (carcinization, technically 🦀) for a while.

One of the first projects we migrated was Turborepo, from Go to Rust¹. The migration completed, but the RoI was actually quite controversial internally.

While Rust was in our eyes better for low-level OS access, something crucial for a build system like Turbo, the human migration costs were very sustantive.

Go is very fast. It's beautifully designed. It's easy to iterate on. We were very conflicted about the migration, because it was *humans* writing the code, *even if we knew Rust was a better choice*.

The calculus has now changed. What's "best for humans" is no longer necessarily "best for business".

FWIW, it's also quite unlikely that Rust is the end-all-be-all toolchain. I'm quite certain there's greener pasture ahead, because Rust itself was designed before the 'supersonic tsunami' of agents hit.

¹ https​://vercel.com/blog/how-turborepo-is-porting-from-go-to-rust
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Integer Multiplication Algorithm Bound Tightened Repeatedly With Astra

A post reports that a user running ChatGPT Astra in a loop is repeatedly breaking records for integer multiplication algorithms. It quotes an update to OpenAI problem #109 that tightens the constant from 2^-182 to 2^-59, a roughly 500,000-fold improvement over the previous result.

Original post · 1 min read
This guy has 6.1 Astra running in a loop and is breaking the record for integer multiplication algorithms every few hours lmaooooo.
Doug Colkitt @0xdoug
We are publishing an update to OpenAI problem #109 Integer multiplication) with another substantial further tightening:

κ = 2⁻⁵⁹ (from OpenAI’s original κ = 2⁻¹⁸²)

Approximately 500 thousand fold improvement over our previous result and a 2¹²³ fold improvement over the original OAI result.

The latest redesigned the finite network to share intermediate computations and scratch space, then tightened the recursion and Gaussian estimates.
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Boris Cherny Says Prompting Claude Should Feel Like Talking to a Coworker

Boris Cherny explains his approach to prompting Claude, advising users to give clear goals, specify effort level and verification steps rather than relying on heavy scaffolding.

Original post · 1 min read
I am surprised that people are surprised this is how I prompt Claude.

Talk to Claude the way you would a coworker. There's no secret to prompting. There's no need to be overly scaffolded or prescriptive for most tasks -- give Claude a goal, and it will figure it out.

Back in the Sonnet 3.5 days, your prompt mattered a lot. Nowadays, it's much more important to communicate to the model:

1. What you want it to do
2. How much effort you want it to spend
3. How it should verify that it did the right thing
Boris Cherny @bcherny
Prompt
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Eric Raymond Highlights Open-Source Rust Clone of Photoshop Built via LLM

Eric S. Raymond shares the photocraft GitHub project, a clean-room open-source reimplementation of Photoshop that he says was likely generated by decompiling the app, converting it to a spec and prompting an LLM for Rust. He argues this threatens closed-source software.

Original post · 1 min read
This is the doom I predicted a few days ago, coming for Photoshop. A clean-room open-source reimplementation.

No prizes for guessing that they decompiled Photoshop to source code, processed that to some kind of non-code specification language, then fed the spec to an LLM with an instruction to generate Rust.

Adobe just got nuked. And closed source is dead, dead, dead.

github.com/storytold/photocraft
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Nat Eliason Details Fourteen Ways His Bot Setup Automates Work

Nat Eliason lists fourteen functions of his bot setup, including a chief-of-staff agent that drafts emails, specialist agents per work lane, and cloud coding agents that open pull requests from Linear issues. He notes GrokBot as a substantial improvement over his previous OpenClaw setup.

Original post · 2 min read
Things my @bot setup does that still blow my mind:

1. A Chief of Staff who opens the day pulling open loops from email & tasks and suggesting things it can knock out before 7am.

2. After every meeting, decisions get folded into Notion, Linear, and Todoist — not left rotting in Granola

3. Every email starts as a draft. The CoS bot scans my email every ~2hr and drafts replies to nearly everything — including checking my cal for availability and finding requested attachments / links

4. A specialist for each lane: curriculum, engineering, coaching, hiring, content, ops, and one for every single piece of software

5. Routines that keep running while I’m offline (e.g. monitoring Sentry errors in our apps and proactively fixing things)

6. Group rooms where 2–4 bots share one project thread instead of me copy-pasting context

7. Cloud coding agents that pick up Linear issues and open PRs after running the list of open work by me EoD — then squash-merge to main when it’s done

8. Meeting prep briefs pulled from Granola + Notion before I walk in

9. A growing shareable knowledge base in Notion + a GitHub repo that we update daily based on what happens at school

10. Student progress look-up across Expertise, Followers, and CoFounder without inventing numbers — chat anytime to see where a student is on their business work

11. Mentor Mind that coaches me on how to hold the bar without inventing doctrine

12. Todoist as a central task list where it logs things it’s blocked on for me, or from meetings / emails — and I can paste links into chat to direct it how to solve them

13. Engineering work is automatically tracked in Linear so my and the product teams’ bots don’t collide with each other

14. Presentations spun up in Gamma / Claude Design without me opening a slide tool

15. Plaud / live capture → notes the bots can actually act on

Probably more but these were the immediate ones we thought of.
Nat Eliason @nateliason
GrokBot feels like absolute magic at this point, a meaningful leg up on my previous OpenClaw etc. setups.

And with how easy it is to setup, there's really no excuse now.
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