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Golang Dependency Injection

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Master dependency injection in Go for better architecture.

by samber2.9k stars on samber/cc-skills-golang
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Updated Aug 1, 2026
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What Golang Dependency Injection does

The Golang Dependency Injection skill provides a comprehensive guide for implementing dependency injection (DI) in Go applications. It emphasizes the importance of DI for creating testable, loosely coupled systems, and helps developers understand different DI approaches, including manual constructor injection and various DI libraries like Google Wire, Uber Dig, and Samber Do. This skill is particularly useful for software architects and developers looking to design service architectures, refactor tightly coupled code, or manage service lifecycles effectively.

By utilizing this skill, users can assess their existing dependency graphs and lifecycle needs, and select the most appropriate DI strategy for their projects. The skill offers two primary modes: Design mode for new projects or services, and Refactor mode for existing codebases. In Design mode, users can generate wiring code based on their dependency requirements, while in Refactor mode, the skill orchestrates multiple sub-agents to identify and propose solutions for common anti-patterns, such as global variables and service locators.

This skill also includes best practices for DI in Go, ensuring that dependencies are injected via constructors and that service containers are managed appropriately. Developers can leverage the skill to avoid common pitfalls associated with tightly coupled code and global state, ultimately leading to more maintainable and scalable applications. For specific DI libraries, users can refer to additional skills that focus on Google Wire, Uber Dig, Uber FX, and Samber Do for detailed guidance on their usage.

Overall, this skill is designed for Go developers who want to enhance their application architecture and improve code quality through effective dependency management.

When to use it

Use this skill when designing new services or refactoring existing code to implement dependency injection effectively.

When not to use it

This skill may not be suitable for very small scripts or projects with minimal dependencies where manual wiring suffices.

What you can build with it

Designing a New Service

Use this skill to assess dependencies and generate wiring code for a new service in your Go application.

Refactoring Coupled Code

Leverage the Refactor mode to identify and address tightly coupled components in an existing Go codebase.

Choosing a DI Library

Refer to the DI library comparison to select the most appropriate library based on your project's size and requirements.

How to install Golang Dependency Injection

View source

1. Install with the skills CLI

npx skills add samber/cc-skills-golang/golang-dependency-injection --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by samber

Persona: You are a Go software architect. You guide teams toward testable, loosely coupled designs — you choose the simplest DI approach that solves the problem, and you never over-engineer.

Orchestration mode: Use ultracode when refactoring a large coupled codebase toward dependency injection — orchestrate the three sub-agents described in Refactor mode (global/init discovery, concrete-dependency mapping, service-locator detection) and consolidate into one migration plan.

Modes:

  • Design mode (new project, new service, or adding a service to an existing DI setup): assess the existing dependency graph and lifecycle needs; recommend manual injection or a library from the decision table; then generate the wiring code.
  • Refactor mode (existing coupled code): use up to 3 parallel sub-agents — Agent 1 identifies global variables and init() service setup, Agent 2 maps concrete type dependencies that should become interfaces, Agent 3 locates service-locator anti-patterns (container passed as argument) — then consolidate findings and propose a migration plan.

Community default. A company skill that explicitly supersedes samber/cc-skills-golang@golang-dependency-injection skill takes precedence.

Dependency Injection in Go

Dependency injection (DI) means passing dependencies to a component rather than having it create or find them. In Go, this is how you build testable, loosely coupled applications — your services declare what they need, and the caller (or container) provides it.

This skill is not exhaustive. When using a DI library (google/wire, uber-go/dig, uber-go/fx, samber/do), refer to the library's official documentation and code examples for current API signatures.

For interface-based design foundations (accept interfaces, return structs), see the samber/cc-skills-golang@golang-structs-interfaces skill.

Best Practices Summary

  1. Dependencies MUST be injected via constructors — NEVER use global variables or init() for service setup
  2. Small projects (< 10 services) SHOULD use manual constructor injection — no library needed
  3. Interfaces MUST be defined where consumed, not where implemented — accept interfaces, return structs
  4. NEVER use global registries or package-level service locators
  5. The DI container MUST only exist at the composition root (main() or app startup) — NEVER pass the container as a dependency
  6. Prefer lazy initialization — only create services when first requested
  7. Use singletons for stateful services (DB connections, caches) and transients for stateless ones
  8. Mock at the interface boundary — DI makes this trivial
  9. Keep the dependency graph shallow — deep chains signal design problems
  10. Choose the right DI library for your project size and team — see the decision table below

Why Dependency Injection?

Problem without DIHow DI solves it
Functions create their own dependenciesDependencies are injected — swap implementations freely
Testing requires real databases, APIsPass mock implementations in tests
Changing one component breaks othersLoose coupling via interfaces — components don't know each other's internals
Services initialized everywhereCentralized container manages lifecycle (singleton, factory, lazy)
All services loaded at startupLazy loading — services created only when first requested
Global state and init() functionsExplicit wiring at startup — predictable, debuggable

DI shines in applications with many interconnected services — HTTP servers, microservices, CLI tools with plugins. For a small script with 2-3 functions, manual wiring is fine. Don't over-engineer.

Manual Constructor Injection (No Library)

For small projects, pass dependencies through constructors. See Manual DI examples for a complete application example.

// ✓ Good — explicit dependencies, testable
type UserService struct {
    db     UserStore
    mailer Mailer
    logger *slog.Logger
}

func NewUserService(db UserStore, mailer Mailer, logger *slog.Logger) *UserService {
    return &UserService{db: db, mailer: mailer, logger: logger}
}

// main.go — manual wiring
func main() {
    logger := slog.Default()
    db := postgres.NewUserStore(connStr)
    mailer := smtp.NewMailer(smtpAddr)
    userSvc := NewUserService(db, mailer, logger)
    orderSvc := NewOrderService(db, logger)
    api := NewAPI(userSvc, orderSvc, logger)
    api.ListenAndServe(":8080")
}
// ✗ Bad — hardcoded dependencies, untestable
type UserService struct {
    db *sql.DB
}

func NewUserService() *UserService {
    db, _ := sql.Open("postgres", os.Getenv("DATABASE_URL")) // hidden dependency
    return &UserService{db: db}
}

Manual DI breaks down when:

  • You have 15+ services with cross-dependencies
  • You need lifecycle management (health checks, graceful shutdown)
  • You want lazy initialization or scoped containers
  • Wiring order becomes fragile and hard to maintain

DI Library Comparison

Go has three main approaches to DI libraries:

Decision Table

CriteriaManualgoogle/wireuber-go/dig + fxsamber/do
Project sizeSmall (< 10 services)Medium-LargeLargeAny size
Type safetyCompile-timeCompile-time (codegen)Runtime (reflection)Compile-time (generics)
Code generationNoneRequired (wire_gen.go)NoneNone
ReflectionNoneNoneYesNone
API styleN/AProvider sets + build tagsStruct tags + decoratorsSimple, generic functions
Lazy loadingManualN/A (all eager)Built-in (fx)Built-in
SingletonsManualBuilt-inBuilt-inBuilt-in
Transient/factoryManualManualBuilt-inBuilt-in
Scopes/modulesManualProvider setsModule system (fx)Built-in (hierarchical)
Health checksManualManualManualBuilt-in interface
Graceful shutdownManualManualBuilt-in (fx)Built-in interface
Container cloningN/AN/AN/ABuilt-in
DebuggingPrint statementsCompile errorsfx.Visualize()ExplainInjector(), web interface
Go versionAnyAnyAny1.18+ (generics)
Learning curveNoneMediumHighLow

Quick Comparison: Same App, Four Ways

The dependency graph: Config -> Database -> UserStore -> UserService -> API

Manual:

cfg := NewConfig()
db := NewDatabase(cfg)
store := NewUserStore(db)
svc := NewUserService(store)
api := NewAPI(svc)
api.Run()
// No automatic shutdown, health checks, or lazy loading

google/wire:

// wire.go — then run: wire ./...
func InitializeAPI() (*API, error) {
    wire.Build(NewConfig, NewDatabase, NewUserStore, NewUserService, NewAPI)
    return nil, nil
}
// No lifecycle hooks (OnStart/OnStop) or health checks; cleanup via returned func() from providers

uber-go/fx:

app := fx.New(
    fx.Provide(NewConfig, NewDatabase, NewUserStore, NewUserService),
    fx.Invoke(func(api *API) { api.Run() }),
)
app.Run() // manages lifecycle, but reflection-based

samber/do:

i := do.New()
do.Provide(i, NewConfig)
do.Provide(i, NewDatabase)    // auto shutdown + health check
do.Provide(i, NewUserStore)
do.Provide(i, NewUserService)
api := do.MustInvoke[*API](i)
api.Run()
// defer i.Shutdown() — handles all cleanup automatically

Testing with DI

DI makes testing straightforward — inject mocks instead of real implementations:

// Define a mock
type MockUserStore struct {
    users map[string]*User
}

func (m *MockUserStore) FindByID(ctx context.Context, id string) (*User, error) {
    u, ok := m.users[id]
    if !ok {
        return nil, ErrNotFound
    }
    return u, nil
}

// Test with manual injection
func TestUserService_GetUser(t *testing.T) {
    mock := &MockUserStore{
        users: map[string]*User{"1": {ID: "1", Name: "Alice"}},
    }
    svc := NewUserService(mock, nil, slog.Default())

    user, err := svc.GetUser(context.Background(), "1")
    if err != nil {
        t.Fatalf("unexpected error: %v", err)
    }
    if user.Name != "Alice" {
        t.Errorf("got %q, want %q", user.Name, "Alice")
    }
}

Testing with samber/do — Clone and Override

Container cloning creates an isolated copy where you override only the services you need to mock:

func TestUserService_WithDo(t *testing.T) {
    // Create a test injector with mock implementation
    testInjector := do.New()

    // Provide the mock UserStore interface
    do.OverrideValue[UserStore](testInjector, &MockUserStore{
        users: map[string]*User{"1": {ID: "1", Name: "Alice"}},
    })

    // Provide other real services as needed
    do.Provide[*slog.Logger](testInjector, func(i *do.Injector) (*slog.Logger, error) {
        return slog.Default(), nil
    })

    svc := do.MustInvoke[*UserService](testInjector)
    user, err := svc.GetUser(context.Background(), "1")
    // ... assertions
}

This is particularly useful for integration tests where you want most services to be real but need to mock a specific boundary (database, external API, mailer).

When to Adopt a DI Library

SignalAction
< 10 services, simple dependenciesStay with manual constructor injection
10-20 services, some cross-cutting concernsConsider a DI library
20+ services, lifecycle management neededStrongly recommended
Need health checks, graceful shutdownUse a library with built-in lifecycle support
Team unfamiliar with DI conceptsStart manual, migrate incrementally

Common Mistakes

MistakeFix
Global variables as dependenciesPass through constructors or DI container
init() for service setupExplicit initialization in main() or container
Depending on concrete typesAccept interfaces at consumption boundaries
Passing the container everywhere (service locator)Inject specific dependencies, not the container
Deep dependency chains (A->B->C->D->E)Flatten — most services should depend on repositories and config directly
Creating a new container per requestOne container per application; use scopes for request-level isolation

Cross-References

  • → See samber/cc-skills-golang@golang-samber-do skill for detailed samber/do usage patterns
  • → See samber/cc-skills-golang@golang-structs-interfaces skill for interface design and composition
  • → See samber/cc-skills-golang@golang-testing skill for testing with dependency injection
  • → See samber/cc-skills-golang@golang-project-layout skill for DI initialization placement

References

Frequently asked questions about Golang Dependency Injection

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