go-concurrency-web
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.
Best use case
go-concurrency-web is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.
Teams using go-concurrency-web should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/go-concurrency-web/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How go-concurrency-web Compares
| Feature / Agent | go-concurrency-web | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Go Concurrency for Web Applications
## Quick Reference
| Topic | Reference |
|-------|-----------|
| Worker Pools & errgroup | [references/worker-pools.md](references/worker-pools.md) |
| Rate Limiting | [references/rate-limiting.md](references/rate-limiting.md) |
| Race Detection & Fixes | [references/race-detection.md](references/race-detection.md) |
## Core Rules
1. **Goroutines are cheap but not free** — each goroutine consumes ~2-8 KB of stack. Unbounded spawning under load leads to OOM.
2. **Always have a shutdown path** — every goroutine you start must have a way to exit. Use `context.Context`, channel closing, or `sync.WaitGroup`.
3. **Prefer channels for communication** — use channels to coordinate work between goroutines and signal completion.
4. **Use mutexes for state protection** — when goroutines share mutable state, protect it with `sync.Mutex`, `sync.RWMutex`, or `sync/atomic`.
5. **Never spawn raw goroutines in HTTP handlers** — use worker pools, `errgroup`, or other bounded concurrency primitives.
## Worker Pool Pattern
Use worker pools for background tasks dispatched from HTTP handlers. This bounds concurrency and provides graceful shutdown.
```go
// Worker pool for background tasks (e.g., sending emails)
type WorkerPool struct {
jobs chan Job
wg sync.WaitGroup
logger *slog.Logger
}
type Job struct {
ID string
Execute func(ctx context.Context) error
}
func NewWorkerPool(numWorkers int, queueSize int, logger *slog.Logger) *WorkerPool {
wp := &WorkerPool{
jobs: make(chan Job, queueSize),
logger: logger,
}
for i := 0; i < numWorkers; i++ {
wp.wg.Add(1)
go wp.worker(i)
}
return wp
}
func (wp *WorkerPool) worker(id int) {
defer wp.wg.Done()
for job := range wp.jobs {
wp.logger.Info("processing job", "worker", id, "job_id", job.ID)
if err := job.Execute(context.Background()); err != nil {
wp.logger.Error("job failed", "worker", id, "job_id", job.ID, "err", err)
}
}
}
func (wp *WorkerPool) Submit(job Job) {
wp.jobs <- job
}
func (wp *WorkerPool) Shutdown() {
close(wp.jobs)
wp.wg.Wait()
}
```
### Usage in HTTP Handler
```go
func (s *Server) handleCreateUser(w http.ResponseWriter, r *http.Request) {
user, err := s.userService.Create(r.Context(), decodeUser(r))
if err != nil {
handleError(w, r, err)
return
}
// Dispatch background task — never spawn raw goroutines in handlers
s.workers.Submit(Job{
ID: "welcome-email-" + user.ID,
Execute: func(ctx context.Context) error {
return s.emailService.SendWelcome(ctx, user)
},
})
writeJSON(w, http.StatusCreated, user)
}
```
See [references/worker-pools.md](references/worker-pools.md) for sizing guidance, backpressure, error handling, retry patterns, and `errgroup` as a simpler alternative.
## Rate Limiting
Use `golang.org/x/time/rate` for token bucket rate limiting. Apply as middleware for global limits or per-IP/per-user limits.
Key points:
- Global rate limiting protects overall service capacity
- Per-IP rate limiting prevents individual clients from monopolizing resources
- Always return `429 Too Many Requests` with a `Retry-After` header
See [references/rate-limiting.md](references/rate-limiting.md) for middleware implementation, per-IP limiting, stale limiter cleanup, and API key-based limiting.
## Race Detection
Run the race detector in development and CI:
```bash
go test -race ./...
go build -race -o myserver ./cmd/server
```
The race detector catches concurrent reads and writes to shared memory. It does not catch logical races (e.g., TOCTOU bugs) or deadlocks.
See [references/race-detection.md](references/race-detection.md) for common web handler races, fixing strategies, and CI integration.
## Handler Safety
Every incoming HTTP request runs in its own goroutine. Any shared mutable state on the server struct is a potential data race.
```go
// BAD — shared state without protection
type Server struct {
requestCount int // data race!
}
func (s *Server) handleRequest(w http.ResponseWriter, r *http.Request) {
s.requestCount++ // concurrent writes = race condition
}
// GOOD — use atomic or mutex
type Server struct {
requestCount atomic.Int64
}
func (s *Server) handleRequest(w http.ResponseWriter, r *http.Request) {
s.requestCount.Add(1)
}
// GOOD — use mutex for complex state
type Server struct {
mu sync.RWMutex
cache map[string]*CachedItem
}
func (s *Server) handleGetCached(w http.ResponseWriter, r *http.Request) {
s.mu.RLock()
item, ok := s.cache[r.PathValue("key")]
s.mu.RUnlock()
// ...
}
```
### Rules for Handler Safety
- **Request-scoped data is safe** — `r.Context()`, request body, URL params are isolated per request.
- **Server struct fields are shared** — any field on `*Server` accessed by handlers needs synchronization.
- **Database connections are safe** — `*sql.DB` manages its own connection pool with internal locking.
- **Maps are not safe** — use `sync.Map` or protect with a mutex.
- **Slices are not safe** — concurrent append or read/write requires a mutex.
## Anti-Patterns
### Unbounded goroutine spawning
```go
// BAD — no limit on concurrent goroutines
func (s *Server) handleWebhook(w http.ResponseWriter, r *http.Request) {
go func() {
// What if 10,000 requests arrive at once?
s.processWebhook(r.Context(), decodeWebhook(r))
}()
w.WriteHeader(http.StatusAccepted)
}
// GOOD — use a worker pool
func (s *Server) handleWebhook(w http.ResponseWriter, r *http.Request) {
webhook := decodeWebhook(r)
s.workers.Submit(Job{
ID: "webhook-" + webhook.ID,
Execute: func(ctx context.Context) error {
return s.processWebhook(ctx, webhook)
},
})
w.WriteHeader(http.StatusAccepted)
}
```
### Forgetting to propagate context
```go
// BAD — loses cancellation signal
func (s *Server) handleSearch(w http.ResponseWriter, r *http.Request) {
results, err := s.search(context.Background(), r.URL.Query().Get("q"))
// ...
}
// GOOD — use request context
func (s *Server) handleSearch(w http.ResponseWriter, r *http.Request) {
results, err := s.search(r.Context(), r.URL.Query().Get("q"))
// ...
}
```
### Goroutine leak from missing channel receiver
```go
// BAD — goroutine blocks forever if nobody reads the channel
func fetchWithTimeout(ctx context.Context, url string) (*Response, error) {
ch := make(chan *Response)
go func() {
resp, _ := http.Get(url) // blocks forever if ctx cancels
ch <- resp // stuck here if nobody reads
}()
select {
case resp := <-ch:
return resp, nil
case <-ctx.Done():
return nil, ctx.Err() // goroutine leaked!
}
}
// GOOD — use buffered channel so goroutine can exit
func fetchWithTimeout(ctx context.Context, url string) (*Response, error) {
ch := make(chan *Response, 1) // buffered — goroutine can always send
go func() {
resp, _ := http.Get(url)
ch <- resp
}()
select {
case resp := <-ch:
return resp, nil
case <-ctx.Done():
return nil, ctx.Err()
}
}
```
### Using `time.Sleep` for coordination
```go
// BAD — sleeping to wait for goroutines
go doWork()
time.Sleep(5 * time.Second) // hoping it finishes
// GOOD — use sync primitives
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
doWork()
}()
wg.Wait()
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