How to Sync Kotlin Jetpack Compose and Spring Boot Using a Dual-Communication Pipeline

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A technical guide outlines how to build a reliable data pipeline between a Kotlin Android client and a Java Spring Boot backend, addressing a common cause of silent UI failures. Mismatched property naming conventions between client and server can cause apps to display fallback placeholders without any visible error. The architecture relies on three key components: strict DTO schemas on the backend, Retrofit and Gson serialization annotations on the mobile side, and reactive StateFlow streams to manage UI state. The Spring Boot controller serves as the single source of truth, returning a structured JSON payload with keys like userName that the Kotlin client must explicitly map using @SerializedName annotations. This approach ensures that data flowing between the backend and the mobile app remains structurally consistent throughout the full request-response cycle.

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