ai coding costs surge, token counting falls short

ai-assisted development is becoming increasingly expensive, with token-based pricing models leading to financial strain. companies such as uber and github are experiencing this firsthand, with uber exhausting its 2026 ai budget by april. to address this, new metrics and strategies are being developed, including measuring cost per merged pull request and reserving expensive inference for tasks that require it.