RORK LABJP
PLAY — Google Play's target API level 36 requirement took effect yesterday, August 31. From today, new apps and updates must target Android 16VISIBILITY — Apps still on API 35 stay listed but disappear for users on newer Android versions. No error is raised; new installs simply fade, which makes the change easy to missEXTENSION — If you missed the deadline, an extension through November 1, 2026 can be requested in Play Console — best filed alongside a concrete migration planAPPLE — On the Apple side, the event lands September 9 and iOS 27 is reported to ship September 14. Testing generated apps on iOS 27 hardware before release week is time well spentEXPO — Expo released expo-paste-input on August 28, a native module that brings image, GIF, and sticker paste to React Native TextInputEAS — EAS Observe reached general availability on August 20, putting crash and performance monitoring on the same EAS platform as builds and updatesPLAY — Google Play's target API level 36 requirement took effect yesterday, August 31. From today, new apps and updates must target Android 16VISIBILITY — Apps still on API 35 stay listed but disappear for users on newer Android versions. No error is raised; new installs simply fade, which makes the change easy to missEXTENSION — If you missed the deadline, an extension through November 1, 2026 can be requested in Play Console — best filed alongside a concrete migration planAPPLE — On the Apple side, the event lands September 9 and iOS 27 is reported to ship September 14. Testing generated apps on iOS 27 hardware before release week is time well spentEXPO — Expo released expo-paste-input on August 28, a native module that brings image, GIF, and sticker paste to React Native TextInputEAS — EAS Observe reached general availability on August 20, putting crash and performance monitoring on the same EAS platform as builds and updates
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Rork AI/2026-05-03Intermediate

Building a 'Remembering AI' Into Your Rork App — Persistent User Context for Real Personalization

Is your Rork app's AI starting from scratch every session? Learn how to persist user context, preferences, and conversation history locally — then inject it into your LLM calls to build an AI that actually knows your users.