The piece focuses on the concept of Continuous Efficiency in AI-powered software optimization. It emphasizes the need for integrating sustainability into software development practices, which often take a backseat in busy teams. Developers can benefit from improved performance, better code quality, and lower costs through sustainable practices. The GitHub Next and Sustainability teams are working on tools that enable developers to adopt these practices more effortlessly. Central to this initiative are two main components: Continuous AI and Green Software. Continuous AI leverages automation in software development processes, while Green Software aims to minimize environmental impact. GitHub has introduced Agentic Workflows, an experimental framework that allows developers to create automated workflows using natural language. This approach moves beyond traditional coding standards to enable more flexible and effective code quality improvements. The article highlights specific projects like the implementation of web sustainability guidelines and performance engineering tools. For example, the Daily Perf Improver workflow automates performance enhancements by researching and proposing optimizations. Early results show that guided automation can lead to tangible improvements in software performance. The framework is in a research demonstrator phase, indicating that while it shows promise, it's still being refined before broader release.