We present MKR: Mining Kubernetes Repositories, a dataset capturing more than eleven years of development and community interaction in Kubernetes—an open-source platform for automating the deployment, scaling, and management of containerized applications. As the infrastructure backbone for running thousands of applications across diverse environments, Kubernetes has become one of the most widely adopted and influential projects in modern cloud-native computing. Spanning from June 2014 to July 2025, MKR integrates over two million artefacts from GitHub, including 130,832 commits (through July 2025), 83,368 pull requests, 46,768 issues, and 1,795,423 comments (through March 2025). With contributions from 28,890 unique GitHub commenters and 4,931 commit authors, MKR provides a longitudinal record of how Kubernetes has evolved, scaled, and been maintained over time. The dataset supports research on code evolution, long-term maintenance practices such as API deprecation, contributor retention, governance, and the role of automation in development. MKR allows analyses that connect technical change with decision-making, offering a resource for examining the social and technical dimensions of large-scale open source projects.

Agent-based coding tools have transformed software development practices. Unlike prompt-based approaches that require developers to manually integrate generated code, these agent-based tools autonomously interact with repositories to create, modify, and execute code, including test generation. While many developers have adopted agent-based coding tools, little is known about how these tools generate tests in real-world development scenarios or how AI-generated tests compare to human-written ones.