With that, I built a gigaprompt to ensure Opus 4.5 accounted for both the original Python implementation and a few new ideas I had, such as supersampling to antialias the output.
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Under load, this creates GC pressure that can devastate throughput. The JavaScript engine spends significant time collecting short-lived objects instead of doing useful work. Latency becomes unpredictable as GC pauses interrupt request handling. I've seen SSR workloads where garbage collection accounts for a substantial portion (up to and beyond 50%) of total CPU time per request. That's time that could be spent actually rendering content.