The mobile market is dominated by the two industry giants, Google and Apple. These two companies, as of January 2024, control over 95% of the global market share (Buchholz, 2023). Consequently, developing applications for both Android and iOS platforms has become a common strategy for companies aiming to reach a broad user base. However, this approach presents challenges due to the differences in programming languages used by each platform. As a result, multi-platform development often requires separate teams with distinct skill sets, leading to increased labor, time, and costs. This research explores the potential of using Chat-GPT, a large language model, as a transpiler to address this challenge by translating code between Swift and Kotlin, the primary languages for iOS and Android development. Through a comparative analysis with the existing Swift-Kotlin transpiler, SequalsK, the study aims to assess the feasibility and effectiveness of AI-driven transpilation in streamlining the mobile application development process.

This study indicated that Chat-GPT performed with a higher accuracy than that of SequalsK in producing working code. However, we acknowledge that both alternatives have potential if put through further development.