Fastly's latest survey of 801 developers highlights the growing consideration of "green coding," with 77% focusing on energy efficiency and sustainability in their software development. However, a significant challenge remains: the lack of visibility tools to measure the impact of their sustainable coding efforts, as cited by 54% of respondents. Generative AI tools like GitHub Copilot and Google Gemini are widely used, but they come with a notable energy footprint, leading 35% of developers to limit their use due to sustainability concerns. Despite these challenges, 69% of developers believe they can significantly reduce the industry's carbon footprint, and over 80% consider sustainability when designing systems. Fastly aims to bridge the visibility gap with its new Sustainability Dashboard, providing real-time insights into the energy impact of code on its edge network, demonstrating that informed coding choices can lead to substantial energy savings, as exemplified by a Fastly engineer's collaboration with the University of Waterloo to optimize Linux kernel code, resulting in up to 30% power savings in data-center workloads.