Android: architecture & data

Feature development focused on structure, persistence, and reliability

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Feature development
Architecture, data, reliability

Selected work from Stitch Counter on Google Playa real app, not a sample repo. Below is how we think about your risk: persistence, portability, and UI bugs users actually hit.

Structured local dataData safetyMaintainable layersKotlin / Compose

How we structure feature work

Separation of concerns: UI, logic, and data stay apart.
Data as a stable foundation: Clear persistence; survives growth.
Reliability by design: Validates and fails safely; we check more than just the happy path.
UI that follows real state: Loading and errors are explicit; lists stay smooth.

One app, clear layers: UI, domain, data

Stitch Counter stays maintainable by keeping screens thin and pushing rules and persistence down where they belong.

Case study 1 · App architecture

How Stitch Counter is wired

What it does

Compose UI and ViewModels sit on top. Small use-case classes own validation and orchestration. Room holds projects; Flow queries feed the list so the UI updates when the DB changes. This is MVVM-style: Compose + ViewModels over use cases and Room.

Why it is built this way

  • Hilt provides the database, repository, and use cases once; screens inject only what they need
  • Domain models and mappers sit between entities and UI, so renames or new fields do not spread through every composable
  • Deletes go through use cases that remove image files and rows together, so storage and the DB do not drift apart
  • Compose Destinations plus a single root scaffold keeps tabs, rail, and sheets consistent on phones and tablets

What you get from it

Most feature work touches one layer. That shortens review, cuts surprise bugs, and makes it easier to ship changes without rewiring the whole app.

Room → Flow → UI
Root navigation shell

Scalable data schema that holds up as your app grows

Data is structured, persistent, and built to scale so the app stays reliable as features accumulate.

Case study 2 · Data architecture

Project management system

What it does

A structured system for creating, editing, and organizing projects with persistent local storage through Room.

What makes it valuable

  • Data is safely stored and persists across sessions (no loss, no resets)
  • Well structured relationships between features and data
  • Built to handle growth without performance issues
  • Clear separation of UI and logic for easier updates and fewer bugs

Why this matters for your app

A solid foundation keeps the product stable, scalable, and straightforward to expand without rebuilds or fragile code.

Project library
Project details
Room DAO

Keep user data safe and transferable across devices

Back up and restore app data locally so users can move to a new device without losing progress.

Case study 3 · Data safety

Backup & restore system

What it does

Safely export and restore full app data with validation and error handling.

What makes it valuable

  • Data can be backed up and restored without corruption or loss
  • Invalid data is handled safely to prevent crashes
  • Clear feedback for success and failure states
  • Edge cases handled for predictable behavior

Why this matters for your app

Protects user data and prevents crashes so the product stays dependable when things go wrong.

Backup & restore UI
BackupManager

Fast, stable UI that stays in sync as your app grows

Smooth scrolling, updates, and navigation without lag, dropped frames, or out-of-sync state.

Case study 4 · Performance & state

Stable UI and state handling

What it does

Keeps UI, navigation, and state updates fast and aligned across complex screens.

In real usage

  • Smooth scrolling and interaction with large datasets
  • No UI freezing or dropped frames
  • UI stays in sync with navigation and app state
  • Efficient rendering that avoids unnecessary work and saves battery

Why this matters for your app

Keeps the experience fast and predictable as data and complexity grow, without lag or inconsistent behavior.

Smooth scrolling (LazyColumn)
UI in sync with navigation

How we work

Scope tied to real data and behavior, so new work fits your stack and stays reliable after launch.

1

Review

You share the feature goal, affected screens, and constraints around persistence, sync, or existing APIs.

2

Plan

We map flows, state, and data ownership: what persists on device, how it evolves across releases, and how errors and edge cases surface in the UI.

3

Build

Layered Kotlin implementation: clear boundaries, Compose tied to real sources of truth, and performance kept in mind on large lists.

4

Deliver

A production-ready feature with predictable behavior, safer data paths, and code your team can extend without rework.

Native Android feature development

Ideal when you need a feature added or improved in an existing Android app, especially with Kotlin, Jetpack Compose, responsive UI, local data, or polished screen flows.

Feature developmentExisting appsKotlinJetpack Compose

Contact us to scope the feature and confirm the engagement fits your needs.