Insight for: Feature proposals from a power user (15+ projects, 170+ sessions/month)

This power user feedback for CodeBurn outlines critical feature enhancements for advanced AI coding cost observability. The requests for per-project drill-down, cost-per-session metrics, date range filtering, model efficiency comparisons, and session outlier detection indicate a strong demand for granular, actionable insights beyond aggregate views. The `--json` flag request further emphasizes the need for programmatic access to data for integration into external dashboards. These proposals move CodeBurn beyond basic reporting towards sophisticated analytics, essential for users managing complex, high-volume AI development workflows. Addressing these features would significantly elevate CodeBurn's value proposition, attracting and retaining power users and potentially expanding into enterprise-level cost management.