
AI subagents waste your money and double your code-generation time
I tested the popular development trend of using frontier LLMs as managers to delegate tasks to cheaper subagents. The experiment compared speed, token cost, and final output against a direct, single-model approach. I found one specific workflow that actually doubled build times and drained resources, proving that delegation is not always the smartest choice.



