GoKawiilAnalysis urges developers to measure AI coding ROI by merged pull requests, not tokens
A new argument against usage caps and seat limits for AI coding agents proposes tracking cost per merged pull request instead of cost per token, arguing that token metrics cannot distinguish wasteful retries from productive work. The approach recommends routing routine coding tasks to self-operated open-weight models while reserving expensive frontier models for complex reasoning, using a gateway to direct requests based on task difficulty, sensitivity, cost and latency.