Frameworks

Android

Native Android development with Kotlin and Jetpack Compose. Modern declarative UIs on the platform that powers billions of devices worldwide.

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Where it fits
01

Native quality on the largest platform

Android development has consolidated on Kotlin and Jetpack Compose. Interfaces are declared in Kotlin rather than XML layouts, coroutines and Flow carry asynchronous and reactive work, and the lifecycle plumbing that defined older Android code is now largely absorbed by the libraries.

Jetpack standardises the rest of the stack: Room for persistence, WorkManager for deferrable background work, Hilt for dependency injection, Navigation for movement between screens. Those conventions give Android codebases a common shape, so an app built on them can be picked up by any current Android engineer.

Native Android is the right choice when the product depends on behaviour only the platform provides. It is the wrong choice for shipping the same product on iOS and Android with one team: Flutter or React Native builds both from a single codebase.

Common in Consumer apps, enterprise mobile, IoT
Language Kotlin with coroutines and Flow
UI framework Jetpack Compose (declarative)
Typical pattern MVVM, Hilt DI, Room persistence
  • Consumer Apps
  • Enterprise Mobile
  • IoT
  • Fintech
02

Our Android capabilities

Jetpack Compose UI

We build interfaces in Compose as state-driven functions: each screen renders its state, and recomposition keeps it current without manual view manipulation. Material 3 supplies the component base, themed to the product's design system, with Compose's animation APIs carrying motion and transitions.

  • Jetpack Compose
  • Material 3
  • Animations

Kotlin-first development

Application code is structured around coroutines and Flow: asynchronous work is scoped to lifecycles so it cancels when a screen goes away, and data reaches the UI as streams it collects. Kotlin's null safety and sealed types move a large class of Android crashes to compile time.

  • Kotlin
  • Coroutines
  • Flow

Architecture patterns

Apps are structured in the layers Jetpack conventions expect: ViewModels holding screen state, repositories mediating between Room, the network and caches, and Hilt wiring the graph. Each layer tests against interfaces, so business logic runs under plain JUnit with no emulator in the loop.

  • MVVM
  • Hilt
  • Room
03

Why Adaca for Android?

04

How We Staff It

Android engagements are staffed with engineers whose daily stack is Kotlin and Compose, and who can still read the view-based code most shipped apps carry underneath. Release work through the Play Store, including staged rollouts, sits inside the role rather than beside it.

Engineers are matched to the app's architecture and conventions rather than supplied against a generic profile, and they work to your working day.

05

Common Questions

Do we need a native Android app, or will cross-platform do?

Native Kotlin is warranted when the app sits close to the operating system: persistent background services, Bluetooth or USB hardware, kiosk and managed-device deployments, or IoT companions. Cross-platform abstractions around those grow thicker than the code they wrap.

A product whose screens are forms, lists and media over an API does not need that depth, and the choice then rests on team shape and whether iOS ships alongside. The Flutter and React Native pages set out the cross-platform side in full.

Is keeping separate iOS and Android codebases still worth it?

Sometimes. Two native codebases cost close to double in engineering, but each platform gets its conventions exactly and adopts each year's OS changes without waiting on a framework release. Products that depend on that platform depth accept the cost knowingly.

Where the two apps converge on the same screens and logic, the case weakens. Kotlin Multiplatform shares the logic layer while both interfaces stay native, and a single Flutter or React Native codebase removes the duplication entirely.

How does Android development hold up with AI coding tools?

The structure of a modern Android app works in its favour. Kotlin is typed, the Jetpack conventions put most code into shapes the public corpus documents heavily, and JUnit with Compose UI tests gives an agent a checkable verdict on its changes.

What no tool can see is the device fleet. A change can compile, pass every test and still misbehave on one manufacturer's build, so fragmentation is caught by a device test matrix, and that verification stays with the engineers.

Can Adaca supply Android engineers at short notice?

A shortlist usually reaches you within 48 hours of a brief, drawn from engineers we already employ or already know, with dedicated recruitment covering specialised needs such as hardware-adjacent work. You interview and decide.

Engagements start at one engineer, on terms of three, six, nine or twelve months chosen up front.