Just a few things bouncing around in my brain about sub agents, primarily their value for parallelization and performance Sub agents can produce more focused results because each one has its own context window, so less context per agent. However, I would expect higher overall token usage vs just a single agent due to some repetitive context between all the agents. Is that an accurate assessment of the tradeoffs? How effectively can tasks be parallelized? There is a law of diminishing returns for parallelization for sure. Is it better to parallelize planning or execution? Any tips on better guiding the parallelization? submitted by /u/lambda-legacy-extra
Originally posted by u/lambda-legacy-extra on r/ClaudeCode
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