Challenge
A mobile product team was running two parallel codebases — iOS and Android — but iOS development was consistently falling behind. A portion of the iOS app was still written in Objective-C, relying on unmaintained legacy libraries. The gap created delivery risk, inconsistent release cycles, and technical debt that was compounding with each sprint.
What We Did
FusionHit embedded AI into the iOS development workflow to close the velocity gap. Two workstreams ran in parallel. The first was day-to-day development acceleration: engineers used AI as a hands-on development partner, dramatically increasing output without sacrificing code quality or review standards. The second was targeted modernization: the legacy Objective-C sections of the app were systematically migrated to Swift, with dependencies updated to modern, actively maintained libraries — work that would have consumed weeks of senior engineering time done in a fraction of the time.
Results
- iOS development velocity aligned with Android output for the first time
- Legacy Objective-C codebase migrated to Swift with updated library stack
- Significant hours recovered per sprint, redirected to feature delivery
- Code quality maintained throughout — AI output supervised and refined, not shipped blindly
Why It Matters
Platform parity is a delivery risk that compounds quietly. When one platform consistently lags, product decisions get distorted and clients notice. AI as a development accelerator — not a replacement — is what makes the difference between catching up and staying behind.
