swift-concurrency

Structured concurrency in Swift uses Task and TaskGroup APIs to manage parallel work safely. It helps developers avoid data races, deadlocks, and memory leaks by architecting strict parallel task hierarchies.

Migrate legacy completion handlers to async await by bridging synchronous APIs with continuations. This refactoring transitions callback-based networking layers into clean, testable, and maintainable asynchronous implementations.

Use actors to protect shared state in Swift when concurrent domains access mutable data simultaneously. Actor isolation prevents data races by ensuring safe state access across asynchronous boundaries without explicit locks.

Implement streaming data patterns using AsyncSequence and AsyncStream to simplify asynchronous sequences. These frameworks provide structured references for handling continuous data flows safely within modern Swift concurrency.

Yes, you can manage task-local storage within Swift parallel task hierarchies. This feature supports safe asynchronous code execution by isolating state and preventing memory leaks across concurrent tasks.

Bridging synchronous APIs with continuations in Swift requires careful thread safety management to avoid deadlocks. Limitations include potential memory leaks if continuations are resumed multiple times or not resumed at all.