Running a coding-agent fleet: split tasks small, use cheap models, save strong ones for review
icecream_for_dinner · reddit · 2026-11-10
A Reddit thread asks how practitioners cut token bills for fleets of coding agents without degrading output quality.
The poster's approach: invest heavily in setup — break work into small discrete tasks, give each worker relevant context, and route straightforward tasks to cheaper agents while reserving stronger models for planning, hard problems, and review.
The thread invites others to share what worked and how they measure cost: tokens, dollars, or cost per finished task. The emerging playbook is tiered model usage plus upfront task decomposition instead of defaulting to expensive models everywhere.
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