AI + Engineering intelligence: Measuring agentic impact and ROI

In the evolving landscape of software development, Port emphasizes the need for updated metrics to measure AI's impact, advocating for the DORA AI Capabilities Model, which includes seven factors such as a user-centric focus and healthy data ecosystems. The traditional DORA metrics, originally developed to assess DevOps teams, are considered inadequate for capturing AI's nuanced influence, prompting a call for new metrics like execution time and time-to-market. Port's Agentic Engineering Platform (AEP) is designed to seamlessly integrate AI agents into the software development lifecycle, enhancing efficiency and reducing errors by providing context, role-based access controls, and workflow automations. The company's approach aims to balance speed and stability, ensuring AI adoption positively affects throughput without compromising product reliability. By tracking AI's performance through aspects like execution savings and quality assurance, Port seeks to demonstrate AI's return on investment, fostering a strategic adoption of AI tools across engineering teams.