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Browse the full catalog → Browse ready-made kits → Build your own set →Master Go concurrency with goroutines, channels, sync primitives, and context.
Production-grade Go concurrency built on the CSP philosophy, share memory by communicating, not the other way around. It delivers worker pools, fan-out/fan-in pipelines, bounded concurrency, error groups and graceful shutdown as ready patterns, each wired with context cancellation so goroutines never leak and races get caught.
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Concurrency bugs in Go are mostly missing discipline. This skill chooses channels over mutexes by CSP default, puts ctx.Done() in every select, bounds goroutines before load arrives, and makes the race detector a CI gate.
go-concurrency-patterns · core
core active · 6 lines
Build a worker pool over a job channel
Run a fan-out/fan-in processing pipeline
Bound concurrency with a semaphore or errgroup limit
Fetch multiple URLs concurrently with first-error cancellation
Implement graceful shutdown on SIGINT/SIGTERM
Debug and prevent race conditions with the -race detector
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Stop goroutine leaks by making every channel listen on ctx.Done()
license: perpetualCut API latency with parallel fan-out instead of sequential calls
license: perpetualUse far less memory per goroutine than per-thread models, with bounded worker counts
license: perpetualShut down cleanly without losing in-flight work or leaking resources
license: perpetualsubscriptions expire · deeds don't
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Worker pool, fan-out/fan-in and bounded-concurrency semaphore patterns
6 parts · one working system · ships instantly by email
For Go engineers building concurrent services, pipelines and worker systems who need leak-free, race-safe patterns with proper context and shutdown handling.
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The patterns scale down. A worker pool, an errgroup limit, or graceful shutdown works the same in a three-file tool as in a service running hundreds of goroutines, and context cancellation prevents leaks at any size.
Every channel pattern is wired to listen on ctx.Done(), errgroup cancels the whole group on first error, and SetLimit caps concurrency. For races, the package includes the -race detector commands for test, build, and run.
No. These patterns parallelize work that waits on I/O: network calls, channels, pipelines. Single-core algorithm optimization and GC tuning are different problems this package doesn't address.
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