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The Situation

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Vota already had a polished production iOS app, but expanding to Android came with real complexity.

The codebase was modern and framework-heavy, built with SwiftUI, Apollo iOS, Supabase, Combine, TipKit, and a custom dependency injection system.

It also followed a strict MVVM + Coordinator architecture with a bespoke design system and 15+ product modules spanning discovery, voting, mapping, onboarding, gamification, and more.

The challenge wasn't just launching Android once, but keeping it continuously aligned with an actively evolving iOS roadmap.

Key challenges included:

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Modern SwiftUI-based architecture

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Heavy framework and dependency mapping

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15+ product modules to port

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Continuous parity with active iOS development

It needed to be a repeatable delivery model that kept Android aligned with iOS over time without splitting effort across two separate codebases.

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The Solution

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Instead of assigning a team of developers to manually build and maintain a separate Android app, Vota used Kodebaze to automate both the initial platform conversion and the ongoing parity workflow with 100% data security.

The system scanned the existing iOS codebase and mapped:

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Full iOS repository

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Architecture and dependencies

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Framework equivalents

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Product modules

From there, we structured the Android delivery workflow around two agents:

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Project Conversion Agent

Initial full conversion of the iOS codebase into a functioning Android Kotlin project.

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Project Parity Agent

Diff-based synchronization that keeps Android aligned with new iOS releases.

This turned what would normally be months of duplicated platform work into a repeatable delivery process: 2 weeks for the initial launch, and as little as 1 day to 1 week for ongoing parity updates.

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The Transformation

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The core difference was automation.

Kodebaze analyzed the iOS architecture, mapped frameworks and custom patterns, generated Android foundations, and kept the Android app aligned with iOS through a repeatable parity workflow.

It translated SwiftUI patterns into Jetpack Compose, mapped Apollo iOS into a Kotlin GraphQL client, moved Supabase auth flows into Android equivalents, and converted Combine-style reactive logic into Kotlin Flow and coroutines.

The system also recreated custom design system primitives, mirrored dependency injection patterns, and carried over key manager classes and third-party integrations needed for production readiness.

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Scan the iOS codebase

Analyze repository structure, architecture, modules, dependencies, and proprietary implementation patterns.

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Map frameworks and custom patterns

Match SwiftUI, Apollo iOS, Supabase, Combine, and other platform-specific tools to Android equivalents.

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Generate Android foundations

Create a Kotlin project foundation with Android-side structure, reusable components, and implementation scaffolding.

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Resolve errors automatically

Diagnose and fix compilation or runtime issues recursively during conversion until the output is stable.

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Maintain parity through diffing

Compare iOS and Android version baselines, compute the diff, and apply updates in a predictable sync cycle.

Kodebaze orchestrated the process through subagents, system tool calling, and inter-agent communication, turning what would normally be months of platform work into a controlled, repeatable workflow.

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The Result

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Vota ended up with more than an Android launch.

They gained a complete Android Kotlin project generated from the iOS source, including 15+ mapped modules across discovery, voting, profile, onboarding, reporting, and more.

On top of that, they now have a repeatable parity workflow that keeps Android aligned with ongoing iOS releases while allowing the team to operate from a single source of truth.

Since launch, the first post-launch update was also completed, and it took just 5 days to bring Android back up to date with the latest iOS changes.

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Full Android Kotlin project from iOS source

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15+ product modules successfully ported

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First post-launch parity update completed in 5 days

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iOS remains the single source of truth

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Near-real-time feature parity across platforms

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Lower maintenance overhead and faster launches

What would normally take 3 to 6 months was completed in 2 weeks.

Per-release parity dropped from 2 to 6 weeks to as little as 1 day, depending on complexity.

The result is higher platform capacity, faster release cycles, and lower maintenance overhead without splitting the team across two separate codebases.

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Why This Matters

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Cross-platform expansion often creates duplicated engineering effort, slower releases, and long-term maintenance drag.

Vota avoided that.

By treating iOS as the single source of truth and automating both conversion and parity, Kodebaze helped the team scale onto Android without disrupting iOS delivery.

That means faster launches, lower maintenance overhead, and a more scalable way to support multiple platforms.

Ready to expand from one platform to two?

We help teams turn production apps into scalable multi-platform products without rebuilding everything manually.

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Claus Villumsen

Chief "What If AI Could Do This?" Officer

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AI + Human software Solution

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