Developer Simon Willison described a technique for using coding agents more efficiently by letting a top-tier model exercise judgment about when to delegate implementation work to lower-power models running as subagents. Under this approach, straightforward coding tasks are spawned off to cheaper models while design decisions, auditing, and synthesis remain with the primary model. Willison reported that the pattern sped up task completion and reduced token consumption compared to routing every step through the most capable model.
