concurrency

Thread safety in JVM applications requires applying synchronization primitives and structured guidelines to avoid common concurrency pitfalls. This Skill provides documented anti-patterns and thread-safety rules to refactor critical paths and prevent race conditions in multi-threaded servers.

Configuring executors for high-concurrency data pipelines involves selecting appropriate thread pools and applying structured CompletableFuture patterns. The Skill provides executor configuration guidance and real-world scenarios for scaling data processing pipelines safely.

Virtual threads and Kotlin coroutines represent different approaches to JVM concurrency, with virtual threads offering lightweight OS-level threads and coroutines providing structured async patterns. The Skill covers both in-depth, including migration patterns and practical usage for asynchronous services.

Testing multi-threaded code is covered through dedicated testing strategies for JVM concurrency. The Skill includes practical approaches to validate thread safety, executor behavior, and asynchronous patterns to ensure robust multithreaded services.

CompletableFuture should be avoided when it leads to anti-patterns like excessive nesting or blocking operations that defeat asynchronous design. The Skill documents common concurrency anti-patterns and provides structured alternatives using executors and coroutines.