Stop counting tokens, start counting what ships

AI coding agents perform multiple iterative steps per task, consuming far more tokens than simple prompts, leading to high costs under per-token pricing models. Companies like Uber and GitHub face budget pressures, prompting a shift toward measuring cost per merged pull request rather than token usage. Optimizing costs involves reserving expensive models for complex tasks and using open-weight models for routine work to balance quality and expense.