Tokenmaxxing, Approval Fatigue, and Why AI Throughput Metrics Mislead Teams
A practical framework for measuring AI-assisted engineering productivity without rewarding noisy output or blind approvals.
#analytics
5 articles
Beyond Tokenmaxxing: Engineering Productivity Metrics That Actually Predict Outcomes
A practical framework for measuring AI coding productivity beyond token volume, with quality, reliability, and delivery metrics that matter to engineering leaders.
Copilot Review Metrics Are Here: How to Build an Engineering Operating Model That Actually Improves
Using PR throughput, review-assisted merge metrics, and cycle-time signals to run AI-supported software delivery as a measurable system.
Copilot Auto-Model Resolution: Building a FinOps and Audit-Ready Control Plane
How platform teams should redesign Copilot governance now that auto model usage is resolved to actual models in metrics.
Copilot Auto-Model Resolution Metrics: A FinOps and Governance Playbook for Engineering Leaders
How to operationalize GitHub Copilot’s resolved model metrics for cost controls, policy design, and developer productivity governance.