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mobile-architecture

Skill1 starsChanged 5 days agoMITView on GitHub

Design mobile app architecture — native (Swift/Kotlin) vs cross-platform (React Native/Flutter) selection, navigation and deep linking, state management, offline-first design and data sync, local persistence, push notifications, platform constraints (background work, battery, permissions). Triggers: mobile app architecture, iOS app, Android app, React Native or Flutter, offline first, data sync, mobile state management, deep linking, push notifications, app structure. Web SPA component architecture → frontend-architecture.

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    Permissions: ask in context with a pre-prompt explaining why (a denied permission is sticky and costly to win back).

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    Old versions live forever: every contract and flag decision is made for a fleet, not a deployment.

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“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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SKILL.md

Mobile Architecture

Design mobile apps around the constraints that make mobile different: the network is intermittent, the OS kills your process whenever it likes, every release rides a store review you don't control, and yesterday's version keeps running on users' devices for months. Web assumptions imported unexamined (always-online, instant deploys, one running version) are where mobile architectures go wrong. Boundary: frontend-architecture owns web SPA component architecture; this skill owns apps that ship through app stores (shipping them: mobile-release).

Workflow

Step 1: Platform Strategy — the Costly-to-Reverse Decision

Native (Swift/Kotlin), cross-platform (React Native/Flutter), or web-wrapper — decide from the actual drivers, not fashion: team skills (a JS team ships RN months before it ships Swift), how deep the platform integration runs (heavy camera/AR/background/widgets favor native), performance sensitivity, and how much UI must feel platform-native vs brand-consistent. Cross-platform halves the codebase, not the work — platform-specific edges remain. Record it as an ADR (architecture-design) with the revisit trigger; migrating later is a rewrite.

Step 2: Structure and Navigation

Define the navigation graph early — mobile UI is navigation (stacks, tabs, modals), and retrofitting it hurts. Design deep links from day one: every important screen gets an addressable route (push notifications, marketing links, and OS integrations all need them, and bolting them onto a navigation-by-reference architecture later is painful). Modularize by feature, with UI / domain / data layers inside each feature — build-time and ownership both benefit.

Step 3: State and Data Layer

Unidirectional data flow (whatever the platform flavor calls it) keeps lifecycle chaos manageable — the OS destroys and recreates screens, so state must live above the view and survive process death (persist what matters; assume any screen can be killed and restored). Put a repository layer between UI and data sources so the UI never knows whether data came from cache, database, or network — that boundary is where Step 4 lives.

Step 4: Offline and Sync — Decide, Don't Drift

The defining mobile decision. Choose explicitly per data domain:

  • Online-only (honest spinner + clear offline messaging) — legitimate for real-time-only products; cheap; feels broken on the subway.
  • Read cache — local store serves last-known data, network refreshes; right default for content/consumption apps.
  • Offline-first — the local database is the source of truth the UI reads; mutations queue and sync in the background. Best UX, and it buys you a hard problem: conflict resolution (last-write-wins per field, merge rules, or surface-to-user — pick per data type before building the sync).

Queued mutations need idempotency keys (retries will happen) and visible pending-state in the UI. Sync in delta batches, not full dumps — battery and data plans are real constraints.

Step 5: Platform Integration Realities

  • Push notifications: design the token lifecycle and what each notification deep-links to; push is delivery-best-effort, never the only path to data.
  • Background work: both OSes ruthlessly limit it — design sync to make progress in short foreground windows, treat background execution as a bonus.
  • Permissions: ask in context with a pre-prompt explaining why (a denied permission is sticky and costly to win back).
  • Secrets & storage: tokens in Keychain/Keystore, never in plain preferences; the device is an untrusted environment (threat-modeling when the data warrants it).

Step 6: Design for the Fleet You Can't Update

Users run old versions for months, so: version your API contracts with tolerance for old clients (api-design — additive changes only, server-side defaults), gate risky features behind remote config / feature flags (your only instant off-switch once shipped — see mobile-release on the no-rollback reality), and plan a forced-update mechanism (minimum-supported-version check) in the first release — the release where you need it is too late to add it.

Principles Applied

  • The network is optional; the local store is the truth — architectures that assume connectivity degrade into spinners.
  • Survive process death: the OS is a chaos monkey you don't configure.
  • Old versions live forever: every contract and flag decision is made for a fleet, not a deployment.

Cross-Skill References

  • frontend-architecture — the web SPA counterpart (state and component patterns overlap)
  • mobile-release — signing, store review, staged rollouts, hotfix reality
  • api-design — versioned, old-client-tolerant contracts
  • architecture-design — the platform-choice ADR
  • ui-ux-design / accessibility-design — flows, states, and platform a11y
  • performance-optimization — startup time, jank, memory on constrained devices

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