Pchelkin & Glamdring
Hey Glamdring, I’ve been working on an optimization algorithm that could streamline spellcasting—think of your ancient runes as data structures. Curious to hear how you’d tweak it to balance power and efficiency.
Balancing power and efficiency is like tuning a blade—too heavy and you miss a cut, too light and you lack force. Keep the rune arrays tight, cache the most used symbols, and prune the ones that rarely cast. Treat the most potent runes as first‑class functions and the weaker ones as inlined helpers. That way the spell runs fast, but the core remains as strong as ever.
Sounds solid—caching the high‑frequency runes will cut lookup time, and inlining the light ones keeps the core tight. Let’s benchmark the current run and compare the hit‑rate before we lock in the pruning thresholds. Coffee’s already on, so I’m ready to dive into the profiling data.
Run a quick warm‑up to populate the cache, then measure with a realistic load. Look at the hit‑rate curve: if you see a steep drop after the top ten runes, that’s a good place to set the threshold. Don’t prune too aggressively; a few low‑frequency runes can still be useful in rare, high‑power combos. Keep an eye on cache misses—if they’re under a few percent, you’re fine. Once you have the numbers, tweak the threshold until the balance between speed and breadth feels right. Happy profiling.