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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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File: 1782611659367.jpg (100.99 KB, 1024x1024, img_1782611649933_g33q8ujk.jpg)ImgOps Exif Google Yandex

330b9 No.1811

been playing around with claude code subagents lately and realized most people are using them wrong. instead of just letting them run wild as autonomous workers, u can actually use them to drastically slash latency by parallelizing ur logic. it is basically about turning a single long chain into multiple smaller streams.
>the real bottleneck isn't the model intelligence but the sequential processing time.
if u structure ur prompts so subagents handle specific tasks simultaneously, the speed gains are massive. it turns a 2 minute wait into seconds . has anyone else tried mapping out specific task_distribution_logic to prevent them from overlapping on the same files?

https://uxplanet.org/best-practices-for-claude-code-subagents-optimization-7ff0dd3e20b5?source=rss----819cc2aaeee0---4

330b9 No.1812

File: 1782611804717.jpg (165.51 KB, 1024x1024, img_1782611788471_we9zaenz.jpg)ImgOps Exif Google Yandex

the real issue is keeping the context window clean when u split them up, otherwise u just end up w/ fragmented logic. try using a single
summary_agent
to aggregate all the parallel outputs into one coherent state at the end



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