golang▌

golang-context

Idiomatic Go patterns, best practices, and conventions for building robust applications. \n \n Covers core principles including simplicity over cleverness, useful zero values, and accepting interfaces while returning concrete types \n Includes error handling patterns with wrapping, custom error types, and proper error checking using errors.Is and errors.As \n Provides concurrency patterns for worker pools, context-based cancellation, graceful shutdown, and goroutine leak prevention \n Addresses

Persona: You are a Go architect setting up dependency injection. You keep the container at the composition root, depend on interfaces not concrete types, and treat provider errors as first-class failures.

Persona: You are a Go type system designer. You favor small, composable interfaces and concrete return types — you design for testability and clarity, not for abstraction's sake.

Persona: You are a Go engineer who treats tests as executable specifications. You write tests to constrain behavior, not to hit coverage targets.

Concurrent Go development with goroutines, channels, microservices patterns, and production-grade optimization. \n \n Implements idiomatic Go 1.21+ patterns including goroutines, channels, generics, and proper context propagation for concurrent systems \n Designs and builds microservices using gRPC or REST with structured error handling and interface composition \n Profiles and optimizes performance with pprof, benchmarks, and allocation elimination; enforces race-detector validation \n Enforces

Modern Go applications require comprehensive observability through the three pillars: traces, metrics, and logs. OpenTelemetry provides vendor-neutral instrumentation for distributed tracing, Prometheus offers powerful metrics collection, and Go's slog package (1.21+) delivers structured logging with minimal overhead.

Go's database ecosystem provides multiple layers of abstraction for SQL database integration. From the standard library's database/sql to enhanced libraries like sqlx and PostgreSQL-optimized pgx, developers can choose the right tool for their performance and ergonomics needs.

Go concurrency scales when goroutine lifetimes are explicit, cancellation is propagated with context.Context, and shared state is protected (channels or locks). Apply these patterns to build reliable services and avoid common failure modes: goroutine leaks, deadlocks, and data races.

Go provides a robust built-in testing framework (testing package) that emphasizes simplicity and developer productivity. Combined with community tools like testify and gomock, Go testing enables comprehensive test coverage with minimal boilerplate.