Developer productivity is crucial in the fast-paced world of software development, impacting an organization's ability to deliver high-quality software efficiently and effectively. Adeeb Valiulla, Director of Engineering Excellence at Harness, discusses the importance of measuring and optimizing developer productivity through metrics such as lead time for changes, deployment frequency, and the commit to done ratio. While generative AI promises to enhance productivity by automating coding tasks, it may also introduce new challenges. Tools like Harness Software Engineering Insights provide actionable insights into productivity by integrating with various software development lifecycle tools. Improving productivity requires a holistic approach that addresses technical and organizational factors, such as reducing build times, fostering collaboration, and minimizing distractions. Real-world examples from industries like gaming and cybersecurity illustrate how focusing on developer engagement and streamlining workflows can significantly boost productivity. Harness emphasizes that enhancing productivity is not just about tools and metrics but also about creating an environment where developers can work without unnecessary friction, fostering autonomy, psychological safety, and continuous learning.