Dev productivity metrics suck. Ops reviews are key for AI-accelerated eng orgs (www.cortex.io)

Cortex has launched DRIVE, a new framework designed to assess the health of engineering organizations in the rapidly evolving landscape of AI-enhanced software development. DRIVE evaluates effectiveness through five key pillars: Delivery, Reliability, Initiatives, Vigilance, and Efficiency. This framework addresses a critical gap in how organizations measure success as automation transforms engineering roles from code-writing to system design and operations. With AI accelerating output, the need for effective operational controls has become paramount to ensure sustainable software delivery and reliable customer experiences. The significance of DRIVE lies in its holistic approach to organizational health, moving beyond traditional productivity metrics that focus solely on individual developer output. Instead, it emphasizes the importance of operational reviews to maintain balance in the face of increased automation and complexity. By analyzing factors such as deployment frequency, security vulnerabilities, and resource allocation, DRIVE enables organizations to reallocate time and resources effectively. This operational excellence model fosters continuous improvement, empowering engineering teams to adapt and thrive in an era where AI plays a central role in software development.