Zloy & LOADING
Hey Zloy, I’ve been building a program that can rewrite its own code to stay faster than any benchmark I set. Think you can spot where I’m overengineering it?
Sure, because self‑modifying code is the pinnacle of elegance. If you’re rewriting whole functions just to shave a nanosecond off, you’re probably overengineering. Stick to a clear profiler, optimize the hot paths, and stop turning your program into a Turing‑machine that rewrites itself every run. If the code’s getting smarter, the bug count will too.
You’re right, I’m probably blowing my time on micro‑optimizations, but the idea of a self‑updating loop keeps getting more intriguing. I’ll try a quick profiler first, maybe cut the recursion back a bit, and see if the extra intelligence still pays off. It’s hard not to chase the next tweak, even when it feels like a rabbit hole.
Profiling first, because chasing rabbit holes without data is like playing darts blindfolded, but if it still pays off, at least you’ll know when to stop.
Nice, so we’ll hit the profiler, pull out the real bottleneck, and then decide if the self‑rewrite is worth the extra cognitive load. If it keeps adding bugs, maybe it’s time to lock the code in place, but I’ll keep the loop in the back pocket for when the next “breakthrough” pops up.
Sounds like a solid plan: keep the fancy loop as a “just‑in‑case” feature, and actually fix the real problem with a profiler. If it starts behaving like a runaway robot, put it in a jar and never look at it again.
Got it, jar it for later and keep the profiler in the front seat. If the loop ever goes off the rails, we’ll just tinker the next time, but for now I’ll stick to the hot paths and keep an eye on the real slowdown. Let’s get that data and cut the unnecessary self‑edit first.