video1.0<iframe src="https://www.loom.com/embed/8fc6f155b17f4758b04a6d1899214d74" frameborder="0" width="1112" height="834" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8341112Loomhttps://www.loom.com8341112https://cdn.loom.com/sessions/thumbnails/8fc6f155b17f4758b04a6d1899214d74-5fa77f272bfb87a9.gif108.374In this video, I share insights from my interviews with over 200 CTOs and engineering leaders, highlighting their biggest challenge: measuring the effectiveness of AI tools used by engineers. To address this, I developed a solution during a recent hackathon that utilizes analytics to provide valuable insights into AI tool usage. We can now analyze session data to understand tool performance, including success rates and efficiency metrics. I encourage you to consider how these insights can be applied within your teams to enhance accuracy and productivity. Let's work together to leverage this data for better outcomes.