Android App Development With Kotlin, Jetpack Compose and Real-Device Testing

When native Android app development makes sense

Android holds the majority of smartphone users worldwide and a large share in the US, especially in field work, logistics, retail and among price-conscious consumers. Native Android development is the right choice when the app depends on deep system integration or must run well on a wide range of hardware.

• Field apps on rugged devices, scanners or managed fleets, a common need in enterprise app development
• Apps that run background work: location tracking, sensor collection or scheduled sync
• Hardware integrations over Bluetooth, USB, NFC or custom OEM SDKs
• Products targeting markets where Android dominates or low-end devices are common

Kotlin is our language for Android work; our Kotlin development page covers why, including how Kotlin Multiplatform can share business logic with an iOS app later.

Our modern Android stack

We follow Google's recommended app architecture: a UI layer built with Compose and ViewModels, an optional domain layer for shared business rules, and a data layer with repositories that hide where data comes from. Unidirectional data flow keeps state predictable and easy to test.

For existing apps still on XML layouts, Compose interoperates screen by screen, so migration can happen alongside feature work rather than as a separate project.

Handling device fragmentation

Fragmentation is less about Android versions than about hardware and manufacturer behavior. Two phones on the same Android release can differ in screen density, RAM, camera behavior and how aggressively they kill background processes.

Building the device matrix

We start from your analytics or target market and pick a matrix that covers the top manufacturers, at least one low-memory device, a tablet and a foldable if your users have them. That matrix runs on physical devices in-house and on Firebase Test Lab for broader coverage of automated tests.

Common sources of device-specific bugs

• OEM battery optimizations that delay or cancel background work and push notifications
• Camera and media APIs that behave differently across chipsets
• Configuration changes on foldables and in multi-window mode that discard unsaved state
• Edge-to-edge display handling, insets and gesture navigation conflicts
• Runtime permission changes across Android versions for location, notifications and media

Beyond the phone: tablets, foldables and other form factors

Android runs on far more than phones, and Google increasingly expects apps to adapt to larger screens. Compose makes adaptive layouts much more practical than the old XML approach, but the design still has to account for them from the start.

• Window size classes to switch between single-pane, list-detail and multi-pane layouts
• Foldable postures such as tabletop mode, using Jetpack WindowManager to detect hinges and folds
• Keyboard, mouse and stylus input on tablets and Chromebooks
• Wear OS companion apps built with Compose for Wear OS, sharing data and domain modules with the phone app
• Dedicated-device and kiosk modes for retail, warehouse and point-of-sale hardware

Monetization with Google Play Billing

Digital goods and subscriptions sold in apps distributed through Google Play generally use Google Play Billing, subject to regional exceptions and programs that change over time. We implement the Play Billing Library with server-side purchase verification and Real-time Developer Notifications, so your backend tracks renewals, pauses, account holds and refunds accurately.

Modernizing legacy Android codebases

Older Android apps often combine Java and Kotlin, XML layouts, AsyncTask-era threading and libraries that no longer receive updates. Rewriting everything at once is rarely the best use of budget. We migrate in layers: move business logic to Kotlin with coroutines first, introduce Hilt and a repository layer, then convert screens to Compose as they come up for feature work.

This keeps the app shippable throughout, which matters because the annual target API level requirement does not pause for a rewrite. Each step is covered by tests written before the change, so behavior stays the same while the code underneath improves.

Google Play Console tracks and release management

Google Play offers several testing tracks, and we use them deliberately. Builds move from internal testing to a closed track for stakeholders or pilot customers, optionally to open testing, and then to production through a staged rollout that starts with a small percentage of users.

• Internal testing for the team, available within minutes of upload
• Closed testing for invited users; new personal developer accounts must run a closed test with a minimum number of testers for a set period before production access
• Staged production rollouts that can be halted if Android vitals show rising crash or ANR rates
• Android App Bundles for smaller downloads, with Play App Signing
• Data safety form, content rating and target API level kept current to stay publishable

Google requires apps and updates to target a recent Android API level, and that requirement advances every year. We track it on the release calendar so an otherwise stable app does not lose the ability to ship updates.

Security and quality on Android

We store credentials with the Android Keystore, use encrypted storage for sensitive local data, and verify requests from genuine app installs with the Play Integrity API when fraud or abuse is a concern. Debug features, logging and exported components are locked down in release builds.

Network security configuration blocks cleartext traffic by default, and we review every exported activity, service and content provider in the manifest, since an unintentionally exported component is one of the more common Android-specific vulnerabilities. R8 shrinking and obfuscation reduce app size and make reverse engineering harder, though we never rely on obfuscation to protect secrets that belong on the server.

Testing combines JUnit and coroutine tests for logic, Compose UI tests for key screens and Macrobenchmark for startup and scrolling performance. For apps that handle payments, our fintech app development work adds further controls such as root detection and transaction signing.

Timeline and cost of an Android build

A native Android app follows the same discovery, design and sprint cadence as our other mobile work, with more time allocated to device testing. Internal builds reach your team through the Play Console internal track from the first sprint, and we agree a device matrix with you before QA begins so there are no surprises about what was and was not tested. Typical US-market budgets run about $25k–$60k for simple apps and $60k–$150k for mid-complexity apps with a backend; hardware integrations and enterprise device management push projects higher.

Our Android app development cost guide lists the main line items. If you also need an iPhone version, compare this page with our iOS app development service, or consider a shared codebase.