Learning why model redundancy > optimization It started with a frustrating Thursday afternoon. Our code analysis service was hitting rate limits constantly, and I was doing what any reasonable engineer would do: optimizing our token usage, implementing better queuing, and trying to squeeze maximum performance from our chosen model. Nothing worked. Or rather, everything worked a little bit, but not enough.
