Expo SQLite offline cache keeps AI-built apps usable when signal drops

UpdatedSeptember 7, 2026

AI-built mobile apps usually assume the network is there. Then a user opens the app in a lift, on the metro, or on a rural road, and the whole screen turns into a spinner. The data was available an hour ago, but the app has no memory of it.

A local SQLite cache fixes that gap. Reads come from disk first, so screens render instantly. Writes queue locally when offline and sync when the connection returns. Supabase or any backend stays the source of truth, while the phone stays usable without signal.

This pattern pairs well with an offline-first mutation queue and durable Supabase Storage uploads for files. The cache covers structured rows, the queue covers intent, and storage covers binaries.

This is an excerpt. Read the full post at otf-kit.dev/blog/expo-sqlite-offline-cache-apps — full-stack kits your AI coding agent can actually ship to production. Browse the kits →

#react-native #supabase #cross-platform

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Engineering notes on shipping production apps with AI coding tools — Claude Code, Cursor, Codex, Lovable, Bolt — and the stack underneath: React Native, Expo, Next.js, Supabase. Honest takes on what works, what breaks, and the full-stack kits that get you to production faster. By OTF.

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