Have you had experience using tools for code performance analysis?

Yes, profiling tools such as pprof are often used for analyzing Go code performance. They allow collecting data on CPU usage, memory, and locks, which helps identify bottlenecks and optimize the program.

Example of using pprof:

import (
    "net/http"
    _ "net/http/pprof"
)

func main() {
    go func() {
        log.Println(http.ListenAndServe("localhost:6060", nil))
    }()
    // main program code
}

After starting, you can open http://localhost:6060/debug/pprof/ to view profiles.

There are also external analysis tools, such as go tool trace and third-party services.