Debugging race conditions requires identifying shared resources and ensuring proper locking or synchronization. Use mutexes or semaphores to prevent concurrent modifications.

Race conditions occur when multiple threads or processes try to access and modify shared resources simultaneously, leading to unpredictable and incorrect results. In a TypeScript application using worker threads or multithreading, debugging race conditions involves identifying the shared resources and the points where concurrent access occurs. Using mutexes (mutual exclusion locks) is a common solution to prevent race conditions. A mutex ensures that only one thread can access the shared resource at a time, while other threads are blocked until the mutex is released. Semaphores are another synchronization tool that can limit the number of threads accessing a resource. Debugging race conditions requires careful analysis of the program flow, potentially using logging to trace access patterns and pinpoint where the conflict occurs. Tools like async-mutex in Node.js can help implement locking mechanisms. Once identified, restructuring the code to avoid shared state or properly locking resources can eliminate race conditions and make the application more reliable.