wtf is go-performance-code?

This repository contains a presentation by Chen Yixiao, a senior engineer at Tencent, about making Go programs run faster and more efficiently. It was originally delivered at a developer meetup in Shenzhen in early 2020. The repo includes both the slide deck and a compressed file with hands-on code examples that accompany each step. The content is organized as a practical guide covering three main topics. First, it discusses when to start and stop optimizing performance, since timing matters. Then it walks through how to profile and analyze a Go program using built-in tools that measure where time and memory are being spent. Finally, it demonstrates specific optimization techniques with real code examples, such as reusing objects instead of creating new ones, using copy-on-write patterns instead of locks, and splitting shared data into partitions to reduce contention. This would be useful for any developer working in Go who wants their code to handle more work with less CPU and memory. For example, if you are building a high-traffic API or a data processing pipeline and it starts slowing down under load, the techniques here could help you identify the bottleneck and fix it without throwing more hardware at the problem. The presentation is notably hands-on rather than theoretical. The author describes it as very dry and content-dense, and each optimization technique comes with a working demo so you can see exactly how it is implemented rather than just reading about the concept.