Мультиплатформа ВСЁ! ИИ победил?

🔗 Telegram Android Broadcast https://t.me/+GplKBD4oqO84NzYy 🔗 Paid subscription to Boosty https://abdev.by/ar52 This analysis compares vibe coding, AI development, classic multiplatform development, the Kotlin Multiplatform approach, and modern AI-based solutions. Today, vibe coding is used as a way to accelerate AI development, especially where traditional multiplatform development leads to bottlenecks. It's important to understand how Kotlin Multiplatform addresses technical limitations and where AI already delivers similar results. In thin-client scenarios, vibe coding and AI development demonstrate stability, while multiplatform development and Kotlin Multiplatform are constrained by platform-specific features, which AI overcomes by generating for both systems simultaneously. It also examines how vibe coding simplifies the transfer of logic between platforms, how AI development reduces support costs, where multiplatform implementations create behavioral differences, and when Kotlin Multiplatform remains feasible. Examples are shown of how AI enables synchronous generation of Android and iOS versions without discrepancies, and how approaches involving vibe coding, AI development, classic multiplatform implementations, Kotlin Multiplatform, and AI use yield varying levels of performance and alignment with native patterns. #ai #androiddev #androidbroadcast #KirillRozov #vibecoding #mobiledevelopment #AI #kotlin #kmp #chatgpt #claude #copilot Tags: Kotlin Multiplatform development, KMP Android, Kotlin Multiplatform example, multiplatform mobile, multiplatform comparison, multiplatform Android iOS, AI mobile app development, AI development example, vibecoding mobile, vibecoding development, AI code generation, AI mobile development, Flutter vs. AI, Android development, iOS development, mobile development, cross-platform development, programming, software development, IT technologies, androidbrodacast, Kirill Rozov