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'.

Thanks! Good question, I don't think such a tool exists. Such a tool would require a mathematical proof of an invariant that all the accesses are in bounds. The closest thing is the compiler's own bounds-check elimination proof engine. It eliminates the check when it can prove the checks aren't necessary and sometimes you can help it with hints like `_ = b[i+3]`. But then you don't need unsafe at all, which is the point: unsafe is the last resort.