go-concurrency

Prevent Go race conditions by applying proper synchronization primitives like Mutex and WaitGroup, then validate your concurrent code by running tests with the `-race` flag to detect data races.

Manage goroutine lifecycles in Go by using context-aware cancellation and timeouts. This ensures safe termination of goroutines and prevents leaks when building high-concurrency services or parallel pipelines.

Build a Go worker pool using channel-based communication patterns for task distribution and synchronization. Combine channels with WaitGroup to coordinate workers and safely collect parallel data processing results.

Use Mutex or RWMutex in Go concurrency when protecting shared state, and use channels for communicating data between goroutines. This skill provides guidance on selecting the right sync primitive to avoid deadlocks.

Yes, you can use context cancellation with parallel data processing pipelines in Go. Applying context-aware timeouts ensures your concurrent pipeline stages shut down cleanly without leaking goroutines during cancellation.

Go concurrent services deadlock when channel synchronization is mismanaged or goroutines block on send/receive operations. This skill identifies common concurrency antipatterns and provides safe channel communication patterns.