About this channel
In this channel I will publish useful libraries, tips, quizzes and other information for Go developers.

My GitHub: https://github.com/ankddev

Channel link: https://t.me/golang_tips

My other channels:
- Rust::Tips - @rust_code_tips - about Rust language

Official Go Discord server: https://discord.com/invite/golang

Hashtags:
#tip - useful tip about language or it's tools
#code - code example
#program - project, wrote on Go
#library - useful library
#resource - useful resource about language
#idiomatic - idiomatic code and patterns
#book - book about Go or it's tools/projects
#fact - interesting or fun fact about Go
#goroutins - related to goroutins
#errors - error handling
#advanced - advanced topics
#project and #showcase - projects written in Go
#news - Go-related news
...and some other hashtags about specific topic!

Advanced Custom Allocators with sync.Pool and Memory Reuse
The standard memory allocation in Go is efficient for most cases, but when working with high-performance systems, you might need a custom allocator. Using sync.Pool intelligently can reduce GC pressure by reusing objects. Design your pools to handle not just homogeneous objects, but to recycle complex structures. This tip covers how to implement pooling strategies that go beyond common examples, tailoring object reuse for high-frequency, low-latency tasks.

package main

import (
 "fmt"
 "sync"
)

type Buffer struct {
 data []byte
}

var bufferPool = sync.Pool{
 New: func() interface{} { return &Buffer{data: make([]byte, 1024)} },
}

func processData() {
 buf := bufferPool.Get().(*Buffer)
 // simulate usage
 buf.data[0] = 42
 fmt.Println("Buffer first byte:", buf.data[0])
 // Reset state if needed before putting back
 bufferPool.Put(buf)
}

func main() {
 processData()
}

#advanced #tip
@golang_tips

Complex Reflection Techniques for Dynamic Type Manipulation
Go’s reflect package provides powerful tools to inspect and manipulate types at runtime. This tip explores advanced patterns where you modify unexported fields or dynamically instantiate types using reflection. By combining deep type introspection with careful error checking, you can implement frameworks that automatically map data or perform dependency injection—all while navigating Go’s type system and ensuring runtime safety.

package main

import (
 "fmt"
 "reflect"
)

type secret struct {
 value int
}

func main() {
 s := secret{value: 10}
 v := reflect.ValueOf(&s).Elem()
 field := v.FieldByName("value")
 if field.CanSet() {
  field.SetInt(42)
 }
 fmt.Printf("Modified secret: %+v\n", s)
}

#tip #advanced
@golang_tips