are the valuable building blocks and products of software development. In today’s software development landscape, effectively managing artifacts has become a critical factor in ensuring business success. Understanding and implementing effective artifact management practices can significantly enhance your productivity, streamline processes, and ensure the successful delivery of software pArtifactsrojects. This guide specifically addresses the challenges of the AI era, detailing how to manage AI/ML models, agent skills, and MCP servers as first-class artifacts. By adopting these practices, you can deliver unconditional trust across a unified software supply chain that encompasses both traditional code and massive AI assets.
By following the recommendations outlined here, you’ll be equipped with the knowledge and tools necessary to efficiently handle artifacts throughout their lifecycle. In this ebook, we’ll explore:
- Deep artifact management knowledge, carefully curated by JFrog DevOps experts.
- An explanation of why each best practice is critical to artifact management success.
- Actionable tips and considerations for implementing the best practices in your organization.