AI-driven software development is transforming the industry, with tools like JFrog Fly facilitating efficient artifact management and release processes for AI-native teams. JFrog Fly serves as an agentic artifact repository, enabling seamless integration with AI-native development environments through a zero-configuration setup. It centralizes artifact management, linking binary repositories with source control to allow comprehensive metadata tracking, which aids in creating and managing releases with ease. By utilizing the Model Context Protocol, JFrog Fly ensures that all artifacts and related contextual information are readily available for agents to execute tasks through natural language commands. The platform emphasizes simplifying deployment and distribution, offering features like automatic generation of necessary deployment files and semantic release identification, which enhance development speed and reliability. As an extension of the JFrog Software Supply Chain Platform, JFrog Fly caters specifically to small teams, streamlining processes without the need for extensive DevOps resources, and is now available for beta testing.