Why is 'defer' in a loop considered a performance issue?

Deferred functions only execute when the surrounding function returns. In a loop, this leads to an unbounded buildup of memory and delayed resource release until the entire function exits.

How does this skill help reduce Go memory allocations?

It provides specific patterns for using sync.Pool to reuse objects and offers strategies for avoiding common allocation traps like string concatenation in loops.

Does it provide guidance on Go benchmarking?

Absolutely. It includes best practices for writing benchmarks, using pprof, and interpreting results to ensure optimizations are backed by data.

Can I use this skill to improve my Go service's latency?

Yes, by implementing buffered I/O via bufio and optimizing string operations, you can significantly reduce system call overhead and execution time.

Go Performance Optimizer

Name: Go Performance Optimizer
Author: jovermier

byjovermier

Developer Tools

Optimizes Go code for speed and memory efficiency through expert guidance on allocations, string handling, and I/O operations.

About

The Go Performance skill provides Claude with specialized knowledge for identifying and resolving performance bottlenecks in Go applications. It offers practical implementation patterns for reducing memory allocations using sync.Pool, implementing efficient string manipulation with strings.Builder, and optimizing system calls via buffered I/O. By applying benchmarking best practices and avoiding common pitfalls like defer leaks in tight loops, this skill ensures your Go services achieve maximum throughput and minimal latency.

Key Features

Memory allocation reduction via sync.Pool and escape analysis
Resource leak prevention for loops and defer statements
High-performance I/O optimization using bufio
Efficient string building patterns using strings.Builder
Benchmarking and profiling guidance for data-driven optimization
0 GitHub stars

Use Cases

Writing and interpreting Go benchmarks to identify real-world bottlenecks
Refactoring high-traffic Go microservices to reduce garbage collection pressure
Optimizing data processing pipelines for faster file and network I/O

About

Key Features

Memory allocation reduction via sync.Pool and escape analysis
Resource leak prevention for loops and defer statements
High-performance I/O optimization using bufio
Efficient string building patterns using strings.Builder
Benchmarking and profiling guidance for data-driven optimization
0 GitHub stars

Use Cases

Writing and interpreting Go benchmarks to identify real-world bottlenecks
Refactoring high-traffic Go microservices to reduce garbage collection pressure
Optimizing data processing pipelines for faster file and network I/O