Nice article Andrii. I see from previous articles <https://blog.andr2i.com/posts/2026-06-22-optimization-catalo...> that you can identify and validate bottlenecks which you can optimize.

For more general Go practitioners like me, is there any harness/tooling I can bring into my projects to identify these bottlenecks (aside from profiling if any). More specifically, tooling that identifies workflows that actually have greater changes to be fine with 'unsafe'.