All Articles
Rork Max Credits Drain on Rework, Not Features — Where to Let AI Run and Where to Finish by Hand
Rork Max credit usage is driven less by how complex your app is and more by how many times you regenerate a screen. Here is a practical way to decide what to hand to AI and what to finish by hand, from an indie developer who ships to the stores solo.
Before You Pay $200/mo for Rork Max, Map How Far Expo Reaches in Three Tiers
Wanting widgets or Live Activities makes Rork Max tempting, but most of those features are reachable from the Expo setup that standard Rork generates. Here is how I sort each Apple-native feature into three tiers—reachable in Expo, reachable with a custom module, or where Max is the pragmatic answer—and verify which tier my app is in before paying.
Making Credits Add Up in a Rork AI Image App — Field Notes on Atomic Ledgers and Moderation
Credit billing in a Rork AI image and video app breaks in production because of the order between generation and deduction. Here are the field notes — atomic ledger consumption, idempotency, refunds on failure, and moderation — with Supabase code you can ship.
Where to Stop Letting Rork Fix Your Bugs: A Triage Routine for the 30% That Need You
Most bugs you hand Rork get fixed in a couple of regenerations. A stubborn minority loop forever, each fix spawning a new symptom. Here is the triage routine I use to split what to delegate from what to take over by hand, with retreat lines, regression guards, and a decision log.
Building a Room-Measuring App with Rork Max and RoomPlan — Absorbing Scan Variance by Design
Now that Rork Max generates native Swift, a LiDAR-based RoomPlan scanning app is a realistic project for an indie developer. Scan results drift depending on device and how you hold it. This walks through how to absorb that drift in your app design and export stable dimensions.
On-Device Image Tagging in Rork Max Swift Apps with Foundation Models Image Input
WWDC26 gave the on-device Foundation Models model image input. Here is how to add image tagging and captioning to a Rork Max Swift app entirely on-device, including the availability gate, structured output, and Vision interop.
Calling Apple Foundation Models from a Rork (Expo) App: Bridging On-Device AI Through a Native Module
Rork generates Expo (React Native) apps, but Apple Foundation Models ships as a Swift framework you can't touch from JavaScript. Here's how to write an Expo Modules API bridge, gate it by availability, and fall back to the cloud on unsupported devices.
Routing inference on-device first and escaping to the cloud only when it's worth it, in a Rork app
Build a tiered, fallback-based inference router in a Rork (Expo) app: cache to on-device to Private Cloud Compute to a remote API (Claude/Gemini). Working TypeScript covering budgets, timeouts, caching, and image routing.
A Three-Layer AI Cost Design for Rork Apps After Apple Opened Foundation Models to Small Developers
Apple now offers Foundation Models on Private Cloud Compute at no charge for developers under two million first downloads. Here is a three-layer cost architecture for Rork apps, with a simulation script and working bridge code.
What Did Rork Actually Change as an AI Mobile App Builder? A Six-Month Field Review
An honest, indie-developer review of Rork as an AI mobile app builder after six months of real-world use. What changed, where it shines, where it gets stuck, and how to decide whether to start with it.
One Month with Rork Max AI Cloud: Latency, Cost, and the Hybrid Setup I Settled On
Real numbers from an indie developer who ran Rork Max AI Cloud alongside local M-series execution for a month. Latency benchmarks, monthly cost, and the hybrid rules I landed on after running an app business with 50 million cumulative downloads.
Picking Rork Max Over FlutterFlow and Replit Agent — Selection Criteria from an Established App Business
I ran Rork Max, FlutterFlow, and Replit Agent in parallel for six weeks while adding a new AI-wallpaper feature to an existing wallpaper app business at Dolice (cumulative ~50M downloads since 2014). Greenfield comparisons are everywhere; this one is from the rarer angle of fitting an AI app builder into an existing app business — and why Rork Max won.