Preventing Downtime and Reducing Time-to-Fix in Mobile Apps with Performance Monitoring and AI

As mobile applications grow in complexity, performance and reliability have become critical priorities for engineering leaders. By leveraging deep, contextual performance data and AI-driven analysis, teams can detect crashes and bottlenecks early and even prevent issues such as ANRs by identifying patterns before they escalate. This round table will explore practical strategies for reducing downtime and accelerating time-to-fix across Kotlin-based apps, including those adopting modern architectures like Kotlin Multiplatform (KMP) and Composable Multiplatform (CMP). We will also discuss the emerging role of integrating AI assistance directly into development environments, enabling developers to act on actionable recommendations and resolve performance issues faster while improving overall user experience.

995723