This article explains how Dart implements multithreading through Isolates built on a C++ ThreadPool, detailing the roles of Task and Worker objects, the lock mechanisms with Monitor and MonitorLocker, and the lifecycle and scheduling logic that powers Dart's runtime concurrency.
This article explains Dart’s single‑threaded event‑loop model, the distinction between microtask and event queues, how to schedule tasks, use Futures, async/await, isolates, and practical patterns like LoadBalancer and CancelableOperation to manage asynchronous operations in Flutter apps.
This article explains how to prevent UI blocking in Flutter by moving intensive calculations to background isolates using the compute helper and raw Isolate APIs, demonstrates code examples for task execution, progress reporting, and inter‑isolate communication, and discusses performance considerations and best practices.
This article shares the performance optimization techniques used by Ctrip Train Ticket's Flutter team, covering rendering bottlenecks, selective UI refresh with Provider Selector, granular setState usage, ViewModel splitting, widget caching, const usage, RepaintBoundary, isolate off‑loading, long‑list handling and image loading memory management.
This article explains how Flutter achieves true cross‑platform development, details its layered architecture, UI rendering pipeline, Dart VM event‑loop model, isolate‑based multithreading, and the various runners that coordinate to deliver high‑performance UI across mobile and desktop platforms.
Xianyu’s tech team adopted Dart for a backend glue layer that bridges frontend Flutter clients and Java domain services, leveraging Dart’s familiar syntax, strong async/await support, isolates for rapid hot‑replaceable development, and parallel Future.wait calls to achieve high‑performance, low‑latency APIs with fast deployment.
