Comment by bpavuk
4 hours ago
YESSSS!!! speed is THE way! I like my boilerplate POJOs/data classes generated at breakneck pace of 300+ tok/s, Flash-Lite is more useful than GPT-5.5 for me this way. if it's too slow, you just stay in that goddamn async death loop
> I like my boilerplate POJOs/data classes generated at breakneck pace of 300+ tok/s
Regardless of speed, use the LLM to eliminate the need for boilerplate rather than just creating more code faster.
> if it's too slow, you just stay in that goddamn async death loop
Things get slow when you're ballooning the size of your code, files, design and architecture, and things get more involved and complicated, piling fast hacks on top of fast hacks and everything get brittle.
Slow is fast, longer-term anyways.
For boilerplate, yeah. But when asking research or exploratory questions, or weighing whether a feature is well designed, or asking "can I implement _x_ feature using these libraries without introducing unnecessary complexity", then GPT-5.5 medium is still fast enough.
10-20 seconds times a couple turns on a new feature isn't bad. Kimi is also similarly fast if not faster.
I do agree with smaller models for more constrained/routine tasks though.